{"id":12648,"date":"2024-08-02T23:50:48","date_gmt":"2024-08-03T04:50:48","guid":{"rendered":"http:\/\/skimai.com\/?p=12648"},"modified":"2024-08-02T23:50:48","modified_gmt":"2024-08-03T04:50:48","slug":"ai%e7%a0%94%e7%a9%b6%e8%ab%96%e6%96%87%ef%bc%9a%e5%b9%bb%e8%a6%9a%e6%a4%9c%e5%87%ba%e3%81%ae%e3%81%9f%e3%82%81%e3%81%ae%e6%9c%89%e5%8a%b9%e6%80%a7%e3%81%ae%e9%ab%98%e3%81%84%e3%83%81%e3%82%a7%e3%83%bc","status":"publish","type":"post","link":"https:\/\/skimai.com\/ja\/ai-research-paper-breakdown-for-chainpoll-a-high-efficacy-method-for-llm-hallucination-detection\/","title":{"rendered":"ChainPoll\u306e\u305f\u3081\u306eAI\u7814\u7a76\u8ad6\u6587\u5185\u8a33\uff1aLLM\u5e7b\u899a\u691c\u51fa\u306e\u305f\u3081\u306e\u6709\u52b9\u6027\u306e\u9ad8\u3044\u65b9\u6cd5"},"content":{"rendered":"<p>\u3053\u306e\u8a18\u4e8b\u3067\u306f\u3001\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\uff08LLM\uff09\u304c\u76f4\u9762\u3059\u308b\u6700\u3082\u5dee\u3057\u8feb\u3063\u305f\u8ab2\u984c\u306e\u4e00\u3064\u3067\u3042\u308b\u300c\u5e7b\u899a\u300d\u3092\u53d6\u308a\u4e0a\u3052\u305f\u91cd\u8981\u306a\u7814\u7a76\u8ad6\u6587\u3092\u7d39\u4ecb\u3059\u308b\u3002\u8ad6\u6587\u306e\u30bf\u30a4\u30c8\u30eb\u306f\"<a rel=\"noopener noreferrer\" href=\"https:\/\/arxiv.org\/pdf\/2310.18344\">ChainPoll\uff1aLLM\u5e7b\u899a\u691c\u51fa\u306e\u305f\u3081\u306e\u6709\u52b9\u6027\u306e\u9ad8\u3044\u65b9\u6cd5<\/a>AI\u304c\u751f\u307f\u51fa\u3059\u4e0d\u6b63\u78ba\u3055\u3092\u7279\u5b9a\u3057\u3001\u8efd\u6e1b\u3059\u308b\u305f\u3081\u306e\u65ac\u65b0\u306a\u30a2\u30d7\u30ed\u30fc\u30c1\u3092\u7d39\u4ecb\u3059\u308b\u3002<\/p>\n\n\n<p>Galileo Technologies Inc.\u306e\u7814\u7a76\u8005\u304c\u57f7\u7b46\u3057\u305fChainPoll\u8ad6\u6587\u306f\u3001LLM\u51fa\u529b\u306e\u5e7b\u899a\u3092\u691c\u51fa\u3059\u308b\u305f\u3081\u306e\u65b0\u3057\u3044\u624b\u6cd5\u3092\u63d0\u793a\u3057\u3066\u3044\u308b\u3002ChainPoll\u3068\u540d\u4ed8\u3051\u3089\u308c\u305f\u3053\u306e\u624b\u6cd5\u306f\u3001\u7cbe\u5ea6\u3068\u52b9\u7387\u306e\u4e21\u65b9\u3067\u65e2\u5b58\u306e\u4ee3\u66ff\u624b\u6cd5\u3092\u51cc\u99d5\u3057\u3066\u3044\u308b\u3002\u3055\u3089\u306b\u3001\u3053\u306e\u8ad6\u6587\u3067\u306f\u3001\u5f93\u6765\u306e\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u3088\u308a\u3082\u52b9\u679c\u7684\u306b\u5e7b\u899a\u691c\u51fa\u30e1\u30c8\u30ea\u30af\u30b9\u3092\u8a55\u4fa1\u3059\u308b\u305f\u3081\u306b\u8a2d\u8a08\u3055\u308c\u305f\u3001\u614e\u91cd\u306b\u30ad\u30e5\u30ec\u30fc\u30c8\u3055\u308c\u305f\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u7fa4\u3067\u3042\u308bRealHall\u3092\u7d39\u4ecb\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n<p>LLM\u306b\u304a\u3051\u308b\u5e7b\u899a\u3068\u306f\u3001\u3053\u308c\u3089\u306eAI\u30e2\u30c7\u30eb\u304c\u3001\u4e8b\u5b9f\u3068\u7570\u306a\u308b\u3001\u7121\u610f\u5473\u306a\u3001\u3042\u308b\u3044\u306f\u5165\u529b\u30c7\u30fc\u30bf\u3068\u7121\u95a2\u4fc2\u306a\u30c6\u30ad\u30b9\u30c8\u3092\u751f\u6210\u3059\u308b\u4e8b\u4f8b\u3092\u6307\u3059\u3002\u30c1\u30e3\u30c3\u30c8\u30dc\u30c3\u30c8\u304b\u3089\u30b3\u30f3\u30c6\u30f3\u30c4\u4f5c\u6210\u30c4\u30fc\u30eb\u306b\u81f3\u308b\u307e\u3067\u3001LLM\u304c\u3055\u307e\u3056\u307e\u306a\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306b\u307e\u3059\u307e\u3059\u7d71\u5408\u3055\u308c\u308b\u306b\u3064\u308c\u3001\u3053\u3046\u3057\u305f\u5e7b\u899a\u306b\u3088\u3063\u3066\u8aa4\u3063\u305f\u60c5\u5831\u304c\u4f1d\u64ad\u3059\u308b\u30ea\u30b9\u30af\u306f\u6307\u6570\u95a2\u6570\u7684\u306b\u9ad8\u307e\u3063\u3066\u3044\u308b\u3002\u3053\u306e\u554f\u984c\u306f\u3001AI\u304c\u751f\u6210\u3059\u308b\u30b3\u30f3\u30c6\u30f3\u30c4\u306e\u4fe1\u983c\u6027\u3068\u4fe1\u7528\u6027\u306b\u5927\u304d\u306a\u8ab2\u984c\u3092\u7a81\u304d\u3064\u3051\u3066\u3044\u308b\u3002<\/p>\n\n\n<p>AI\u30b7\u30b9\u30c6\u30e0\u306e\u8cac\u4efb\u3042\u308b\u5c0e\u5165\u306b\u306f\u3001\u5e7b\u899a\u3092\u6b63\u78ba\u306b\u691c\u51fa\u3057\u8efd\u6e1b\u3059\u308b\u80fd\u529b\u304c\u4e0d\u53ef\u6b20\u3067\u3042\u308b\u3002\u672c\u7814\u7a76\u306f\u3001\u3053\u306e\u3088\u3046\u306a\u30a8\u30e9\u30fc\u3092\u7279\u5b9a\u3059\u308b\u305f\u3081\u306e\u3088\u308a\u5f37\u56fa\u306a\u65b9\u6cd5\u3092\u63d0\u4f9b\u3057\u3001AI\u304c\u751f\u6210\u3059\u308b\u30b3\u30f3\u30c6\u30f3\u30c4\u306e\u4fe1\u983c\u6027\u3092\u5411\u4e0a\u3055\u305b\u3001AI\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306b\u5bfe\u3059\u308b\u30e6\u30fc\u30b6\u30fc\u306e\u4fe1\u983c\u3092\u9ad8\u3081\u3001AI\u30b7\u30b9\u30c6\u30e0\u3092\u901a\u3058\u3066\u8aa4\u3063\u305f\u60c5\u5831\u304c\u5e83\u307e\u308b\u30ea\u30b9\u30af\u3092\u4f4e\u6e1b\u3059\u308b\u3053\u3068\u306b\u3064\u306a\u304c\u308b\u3002\u5e7b\u899a\u554f\u984c\u306b\u53d6\u308a\u7d44\u3080\u3053\u3068\u3067\u3001\u672c\u7814\u7a76\u306f\u3001\u69d8\u3005\u306a\u696d\u754c\u306b\u304a\u3044\u3066\u3001\u3088\u308a\u4fe1\u983c\u6027\u306e\u9ad8\u3044\u3001\u4fe1\u983c\u3067\u304d\u308bAI\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3078\u306e\u9053\u3092\u958b\u304f\u3002<\/p>\n\n\n<figure class=\"wp-block-image\">\n<img decoding=\"async\" src=\"http:\/\/skimai.com\/wp-content\/uploads\/2024\/07\/e4b27304-6439-401c-b8c4-ebe2ac84037b.png\" \/>\n<\/figure>\n\n\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_1 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">\u76ee\u6b21<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"\u30c8\u30b0\u30eb\u76ee\u6b21\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">\u30c8\u30b0\u30eb<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewbox=\"0 0 24 24\" version=\"1.2\" baseprofile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/skimai.com\/ja\/ai-research-paper-breakdown-for-chainpoll-a-high-efficacy-method-for-llm-hallucination-detection\/#Background_and_Problem_Statement\" >\u80cc\u666f\u3068\u554f\u984c\u63d0\u8d77<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/skimai.com\/ja\/ai-research-paper-breakdown-for-chainpoll-a-high-efficacy-method-for-llm-hallucination-detection\/#Key_Contributions_of_the_Paper\" >\u8ad6\u6587\u306e\u4e3b\u306a\u8ca2\u732e<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/skimai.com\/ja\/ai-research-paper-breakdown-for-chainpoll-a-high-efficacy-method-for-llm-hallucination-detection\/#Looking_Into_the_ChainPoll_Methodology\" >ChainPoll\u306e\u624b\u6cd5\u3092\u63a2\u308b<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/skimai.com\/ja\/ai-research-paper-breakdown-for-chainpoll-a-high-efficacy-method-for-llm-hallucination-detection\/#How_ChainPoll_works\" >ChainPoll\u306e\u4ed5\u7d44\u307f<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/skimai.com\/ja\/ai-research-paper-breakdown-for-chainpoll-a-high-efficacy-method-for-llm-hallucination-detection\/#The_role_of_chain-of-thought_prompting\" >\u601d\u8003\u306e\u9023\u9396\u3092\u4fc3\u3059\u5f79\u5272<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/skimai.com\/ja\/ai-research-paper-breakdown-for-chainpoll-a-high-efficacy-method-for-llm-hallucination-detection\/#Differentiating_between_open-domain_and_closed-domain_hallucinations\" >\u958b\u9818\u57df\u5e7b\u899a\u3068\u9589\u9818\u57df\u5e7b\u899a\u306e\u533a\u5225<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/skimai.com\/ja\/ai-research-paper-breakdown-for-chainpoll-a-high-efficacy-method-for-llm-hallucination-detection\/#The_RealHall_Benchmark_Suite\" >\u30ea\u30a2\u30eb\u30db\u30fc\u30eb \u30d9\u30f3\u30c1\u30de\u30fc\u30af\u30fb\u30b9\u30a4\u30fc\u30c8<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/skimai.com\/ja\/ai-research-paper-breakdown-for-chainpoll-a-high-efficacy-method-for-llm-hallucination-detection\/#Criteria_for_dataset_selection_Challenge_Realism_Task_Diversity\" >\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u9078\u629e\u306e\u57fa\u6e96\uff08\u30c1\u30e3\u30ec\u30f3\u30b8\u3001\u30ea\u30a2\u30ea\u30ba\u30e0\u3001\u30bf\u30b9\u30af\u306e\u591a\u69d8\u6027\uff09<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/skimai.com\/ja\/ai-research-paper-breakdown-for-chainpoll-a-high-efficacy-method-for-llm-hallucination-detection\/#Overview_of_the_four_datasets_in_RealHall\" >RealHall\u306e4\u3064\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u6982\u8981<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/skimai.com\/ja\/ai-research-paper-breakdown-for-chainpoll-a-high-efficacy-method-for-llm-hallucination-detection\/#How_RealHall_addresses_limitations_of_previous_benchmarks\" >RealHall\u306f\u3069\u306e\u3088\u3046\u306b\u4ee5\u524d\u306e\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u306e\u9650\u754c\u306b\u5bfe\u51e6\u3057\u3066\u3044\u308b\u304b<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/skimai.com\/ja\/ai-research-paper-breakdown-for-chainpoll-a-high-efficacy-method-for-llm-hallucination-detection\/#Experimental_Results_and_Analysis\" >\u5b9f\u9a13\u7d50\u679c\u3068\u5206\u6790<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/skimai.com\/ja\/ai-research-paper-breakdown-for-chainpoll-a-high-efficacy-method-for-llm-hallucination-detection\/#Implications_and_Future_Work\" >\u610f\u5473\u5408\u3044\u3068\u4eca\u5f8c\u306e\u8ab2\u984c<\/a><\/li><\/ul><\/nav><\/div>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Background_and_Problem_Statement\"><\/span>\u80cc\u666f\u3068\u554f\u984c\u63d0\u8d77<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n<p>LLM\u306e\u51fa\u529b\u304b\u3089\u5e7b\u899a\u3092\u691c\u51fa\u3059\u308b\u306e\u306f\u3001\u3044\u304f\u3064\u304b\u306e\u8981\u56e0\u304b\u3089\u8907\u96d1\u306a\u4f5c\u696d\u3067\u3042\u308b\u3002LLM\u304c\u751f\u6210\u3059\u308b\u30c6\u30ad\u30b9\u30c8\u306e\u91cf\u306f\u81a8\u5927\u3067\u3042\u308a\u3001\u5e7b\u899a\u306f\u3057\u3070\u3057\u3070\u5fae\u5999\u306a\u6027\u8cea\u3092\u6301\u3064\u305f\u3081\u3001\u6b63\u78ba\u306a\u60c5\u5831\u3068\u533a\u5225\u3059\u308b\u3053\u3068\u304c\u96e3\u3057\u3044\u3002\u3055\u3089\u306b\u3001\u591a\u304f\u306e\u5e7b\u899a\u306f\u6587\u8108\u306b\u4f9d\u5b58\u3059\u308b\u6027\u8cea\u304c\u3042\u308a\u3001\u751f\u6210\u3055\u308c\u305f\u3059\u3079\u3066\u306e\u30b3\u30f3\u30c6\u30f3\u30c4\u3092\u30c1\u30a7\u30c3\u30af\u3059\u308b\u305f\u3081\u306e\u5305\u62ec\u7684\u306a\u300c\u30b0\u30e9\u30f3\u30c9\u30c8\u30a5\u30eb\u30fc\u30b9\u300d\u304c\u306a\u3044\u3053\u3068\u304c\u3001\u691c\u51fa\u30d7\u30ed\u30bb\u30b9\u3092\u3055\u3089\u306b\u8907\u96d1\u306b\u3057\u3066\u3044\u308b\u3002<\/p>\n\n\n<p>ChainPoll\u306e\u8ad6\u6587\u304c\u767a\u8868\u3055\u308c\u308b\u4ee5\u524d\u3001\u65e2\u5b58\u306e\u5e7b\u899a\u691c\u51fa\u624b\u6cd5\u306f\u3044\u304f\u3064\u304b\u306e\u9650\u754c\u306b\u76f4\u9762\u3057\u3066\u3044\u305f\u3002\u305d\u306e\u591a\u304f\u306f\u3001\u591a\u69d8\u306a\u30bf\u30b9\u30af\u3084\u9818\u57df\u306b\u304a\u3044\u3066\u6709\u52b9\u6027\u306b\u6b20\u3051\u3001\u307e\u305f\u3001\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u3067\u306e\u5fdc\u7528\u306b\u306f\u8a08\u7b97\u30b3\u30b9\u30c8\u304c\u304b\u304b\u308a\u3059\u304e\u308b\u3082\u306e\u3082\u3042\u3063\u305f\u3002\u307e\u305f\u3001\u7279\u5b9a\u306e\u30e2\u30c7\u30eb\u30fb\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u3084\u5b66\u7fd2\u30c7\u30fc\u30bf\u306b\u4f9d\u5b58\u3059\u308b\u624b\u6cd5\u3082\u3042\u308a\u3001\u4e8b\u5b9f\u8aa4\u8a8d\u3068\u6587\u8108\u8aa4\u8a8d\u306a\u3069\u3001\u7570\u306a\u308b\u30bf\u30a4\u30d7\u306e\u5e7b\u899a\u3092\u533a\u5225\u3059\u308b\u306e\u306b\u82e6\u52b4\u3059\u308b\u3082\u306e\u304c\u307b\u3068\u3093\u3069\u3060\u3063\u305f\u3002<\/p>\n\n\n<p>\u3055\u3089\u306b\u3001\u3053\u308c\u3089\u306e\u624b\u6cd5\u3092\u8a55\u4fa1\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u308b\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u306f\u3001\u5b9f\u4e16\u754c\u306e\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306b\u304a\u3044\u3066\u6700\u5148\u7aef\u306eLLM\u304c\u3082\u305f\u3089\u3059\u771f\u306e\u8ab2\u984c\u3092\u53cd\u6620\u3057\u3066\u3044\u306a\u3044\u3053\u3068\u304c\u591a\u304b\u3063\u305f\u3002\u305d\u306e\u591a\u304f\u306f\u3001\u53e4\u304f\u3066\u5f31\u3044\u30e2\u30c7\u30eb\u306b\u57fa\u3065\u3044\u3066\u3044\u305f\u308a\u3001LLM\u306e\u80fd\u529b\u3084\u6f5c\u5728\u7684\u306a\u5e7b\u899a\u306e\u5168\u5bb9\u3092\u8868\u3057\u3066\u3044\u306a\u3044\u3001\u72ed\u304f\u7279\u5b9a\u306e\u30bf\u30b9\u30af\u306b\u7126\u70b9\u3092\u5f53\u3066\u3066\u3044\u305f\u308a\u3057\u305f\u3002<\/p>\n\n\n<p><strong><u>\u3053\u3046\u3057\u305f\u554f\u984c\u306b\u5bfe\u51e6\u3059\u308b\u305f\u3081\u3001ChainPoll\u8ad6\u6587\u306e\u7814\u7a76\u8005\u305f\u3061\u306f2\u3064\u306e\u30a2\u30d7\u30ed\u30fc\u30c1\u3092\u3068\u3063\u305f\uff1a<\/u><\/strong><\/p>\n\n\n<ol class=\"wp-block-list\">\n<li><p>\u3088\u308a\u52b9\u679c\u7684\u306a\u65b0\u3057\u3044\u5e7b\u899a\u691c\u51fa\u6cd5\u3092\u958b\u767a\uff08ChainPoll\uff09<\/p><\/li><li><p>\u3088\u308a\u9069\u5207\u3067\u6311\u6226\u7684\u306a\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u30fb\u30b9\u30a4\u30fc\u30c8\u306e\u4f5c\u6210\uff08\u30ea\u30a2\u30eb\u30db\u30fc\u30eb\u793e\uff09<\/p><\/li>\n<\/ol>\n\n\n<p>\u3053\u306e\u5305\u62ec\u7684\u306a\u30a2\u30d7\u30ed\u30fc\u30c1\u306f\u3001\u5e7b\u899a\u306e\u691c\u51fa\u3092\u6539\u5584\u3059\u308b\u3060\u3051\u3067\u306a\u304f\u3001\u7570\u306a\u308b\u691c\u51fa\u65b9\u6cd5\u3092\u8a55\u4fa1\u30fb\u6bd4\u8f03\u3059\u308b\u305f\u3081\u306e\u3001\u3088\u308a\u5f37\u56fa\u306a\u67a0\u7d44\u307f\u3092\u78ba\u7acb\u3059\u308b\u3053\u3068\u3092\u76ee\u7684\u3068\u3057\u3066\u3044\u308b\u3002<\/p>\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Key_Contributions_of_the_Paper\"><\/span>\u8ad6\u6587\u306e\u4e3b\u306a\u8ca2\u732e<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n<p>ChainPoll\u306e\u8ad6\u6587\u306f\u3001AI\u306e\u7814\u7a76\u958b\u767a\u5206\u91ce\u306b3\u3064\u306e\u4e3b\u8981\u306a\u8ca2\u732e\u3092\u3057\u3066\u304a\u308a\u3001\u305d\u308c\u305e\u308c\u304c\u5e7b\u899a\u691c\u51fa\u306e\u8ab2\u984c\u306e\u91cd\u8981\u306a\u5074\u9762\u306b\u53d6\u308a\u7d44\u3093\u3067\u3044\u308b\u3002<\/p>\n\n\n<p><strong><u>\u307e\u305a\u3001ChainPoll\u3092\u7d39\u4ecb\u3059\u308b\u3002<\/u><\/strong>ChainPoll\u306f\u3001\u65b0\u3057\u3044\u5e7b\u899a\u691c\u51fa\u65b9\u6cd5\u8ad6\u3067\u3042\u308b\u3002ChainPoll\u306f\u3001\u5e7b\u899a\u3092\u8b58\u5225\u3059\u308b\u305f\u3081\u306bLLM\u81ea\u4f53\u306e\u529b\u3092\u6d3b\u7528\u3057\u3001\u7cbe\u5ea6\u3068\u4fe1\u983c\u6027\u3092\u5411\u4e0a\u3055\u305b\u308b\u305f\u3081\u306b\u6ce8\u610f\u6df1\u304f\u8a2d\u8a08\u3055\u308c\u305f\u30d7\u30ed\u30f3\u30d7\u30c8\u6280\u8853\u3068\u96c6\u8a08\u65b9\u6cd5\u3092\u4f7f\u7528\u3059\u308b\u3002\u3088\u308a\u8a73\u7d30\u3067\u4f53\u7cfb\u7684\u306a\u8aac\u660e\u3092\u5f15\u304d\u51fa\u3059\u305f\u3081\u306b\u601d\u8003\u9023\u9396\u30d7\u30ed\u30f3\u30d7\u30c8\u3092\u63a1\u7528\u3057\u3001\u4fe1\u983c\u6027\u3092\u9ad8\u3081\u308b\u305f\u3081\u306b\u691c\u51fa\u30d7\u30ed\u30bb\u30b9\u3092\u8907\u6570\u56de\u7e70\u308a\u8fd4\u3057\u3001\u30aa\u30fc\u30d7\u30f3\u30c9\u30e1\u30a4\u30f3\u3068\u30af\u30ed\u30fc\u30ba\u30c9\u30c9\u30e1\u30a4\u30f3\u306e\u4e21\u65b9\u306e\u5e7b\u899a\u691c\u51fa\u30b7\u30ca\u30ea\u30aa\u306b\u9069\u5fdc\u3059\u308b\u3002<\/p>\n\n\n<p><strong><u>\u7b2c\u4e8c\u306b\u3001\u65e2\u5b58\u306e\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u306e\u9650\u754c\u3092\u8a8d\u8b58\u3057\u3001\u8457\u8005\u3089\u306fRealHall\u3092\u958b\u767a\u3057\u305f\u3002<\/u><\/strong>RealHall\u306f\u3001\u65b0\u3057\u3044\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u30fb\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u7fa4\u3067\u3042\u308b\u3002RealHall\u306f\u3001\u5e7b\u899a\u691c\u51fa\u624b\u6cd5\u306e\u3088\u308a\u73fe\u5b9f\u7684\u3067\u6311\u6226\u7684\u306a\u8a55\u4fa1\u3092\u63d0\u4f9b\u3059\u308b\u3088\u3046\u306b\u8a2d\u8a08\u3055\u308c\u3066\u3044\u308b\u3002\u6700\u5148\u7aef\u306eLLM\u306b\u3068\u3063\u3066\u3082\u6311\u6226\u7684\u306a4\u3064\u306e\u53b3\u9078\u3055\u308c\u305f\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3067\u69cb\u6210\u3055\u308c\u3001\u5b9f\u4e16\u754c\u306eLLM\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306b\u95a2\u9023\u3059\u308b\u30bf\u30b9\u30af\u306b\u7126\u70b9\u3092\u5f53\u3066\u3001\u30aa\u30fc\u30d7\u30f3\u30c9\u30e1\u30a4\u30f3\u3068\u30af\u30ed\u30fc\u30ba\u30c9\u30c9\u30e1\u30a4\u30f3\u306e\u4e21\u65b9\u306e\u5e7b\u899a\u30b7\u30ca\u30ea\u30aa\u3092\u30ab\u30d0\u30fc\u3057\u3066\u3044\u308b\u3002<\/p>\n\n\n<p><strong><u>\u6700\u5f8c\u306b\u3001ChainPoll\u3092\u65e2\u5b58\u306e\u3055\u307e\u3056\u307e\u306a\u5e7b\u899a\u691c\u51fa\u65b9\u6cd5\u3068\u5fb9\u5e95\u7684\u306b\u6bd4\u8f03\u3059\u308b\u3002<\/u><\/strong> \u3053\u306e\u5305\u62ec\u7684\u306a\u8a55\u4fa1\u3067\u306f\u3001\u65b0\u3057\u304f\u958b\u767a\u3055\u308c\u305fRealHall\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u30fb\u30b9\u30a4\u30fc\u30c8\u3092\u4f7f\u7528\u3057\u3001\u3053\u306e\u5206\u91ce\u3067\u78ba\u7acb\u3055\u308c\u305f\u6307\u6a19\u3068\u6700\u8fd1\u306e\u9769\u65b0\u7684\u306a\u6280\u8853\u306e\u4e21\u65b9\u3092\u542b\u307f\u3001\u7cbe\u5ea6\u3001\u52b9\u7387\u3001\u8cbb\u7528\u5bfe\u52b9\u679c\u306a\u3069\u306e\u8981\u7d20\u3092\u8003\u616e\u3057\u3066\u3044\u308b\u3002\u3053\u306e\u8a55\u4fa1\u3092\u901a\u3058\u3066\u3001\u69d8\u3005\u306a\u30bf\u30b9\u30af\u3084\u5e7b\u899a\u306e\u30bf\u30a4\u30d7\u306b\u308f\u305f\u3063\u3066\u30c1\u30a7\u30fc\u30f3\u30dd\u30fc\u30eb\u306e\u512a\u308c\u305f\u6027\u80fd\u3092\u5b9f\u8a3c\u3057\u3066\u3044\u308b\u3002<\/p>\n\n\n<p>\u3053\u308c\u30893\u3064\u306e\u91cd\u8981\u306a\u8ca2\u732e\u3092\u63d0\u4f9b\u3059\u308b\u3053\u3068\u3067\u3001ChainPoll\u8ad6\u6587\u306f\u5e7b\u899a\u691c\u51fa\u306e\u6280\u8853\u7684\u306a\u73fe\u72b6\u3092\u524d\u9032\u3055\u305b\u308b\u3060\u3051\u3067\u306a\u304f\u3001AI\u306e\u5b89\u5168\u6027\u3068\u4fe1\u983c\u6027\u306e\u91cd\u8981\u306a\u9818\u57df\u3067\u3042\u308b\u3053\u306e\u5206\u91ce\u306b\u304a\u3051\u308b\u5c06\u6765\u306e\u7814\u7a76\u958b\u767a\u306b\u3088\u308a\u5f37\u56fa\u306a\u67a0\u7d44\u307f\u3092\u63d0\u4f9b\u3059\u308b\u3002<\/p>\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Looking_Into_the_ChainPoll_Methodology\"><\/span>ChainPoll\u306e\u624b\u6cd5\u3092\u63a2\u308b<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n<p>ChainPoll\u306e\u6838\u5fc3\u306f\u3001AI\u304c\u751f\u6210\u3057\u305f\u30c6\u30ad\u30b9\u30c8\u306e\u5e7b\u899a\u3092\u8b58\u5225\u3059\u308b\u305f\u3081\u306b\u3001\u5927\u898f\u6a21\u306a\u8a00\u8a9e\u30e2\u30c7\u30eb\u81ea\u4f53\u306e\u80fd\u529b\u3092\u6d3b\u7528\u3059\u308b\u3053\u3068\u3067\u3042\u308b\u3002\u3053\u306e\u30a2\u30d7\u30ed\u30fc\u30c1\u306f\u3001\u305d\u306e\u30b7\u30f3\u30d7\u30eb\u3055\u3001\u6709\u52b9\u6027\u3001\u3055\u307e\u3056\u307e\u306a\u30bf\u30a4\u30d7\u306e\u5e7b\u899a\u306b\u5bfe\u3059\u308b\u9069\u5fdc\u6027\u3067\u969b\u7acb\u3063\u3066\u3044\u308b\u3002<\/p>\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"How_ChainPoll_works\"><\/span>ChainPoll\u306e\u4ed5\u7d44\u307f<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n<p>ChainPoll\u30e1\u30bd\u30c3\u30c9\u306f\u3001\u7c21\u5358\u304b\u3064\u5f37\u529b\u306a\u539f\u7406\u3067\u52d5\u4f5c\u3059\u308b\u3002LLM\uff08\u5177\u4f53\u7684\u306b\u306f\u3001\u8ad6\u6587\u306e\u5b9f\u9a13\u3067\u306fGPT-3.5-turbo\uff09\u3092\u4f7f\u3063\u3066\u3001\u4e0e\u3048\u3089\u308c\u305f\u30c6\u30ad\u30b9\u30c8\u88dc\u5b8c\u306b\u5e7b\u899a\u304c\u542b\u307e\u308c\u3066\u3044\u308b\u304b\u3069\u3046\u304b\u3092\u8a55\u4fa1\u3059\u308b\u3002 <\/p>\n\n\n<p>\u3053\u306e\u30d7\u30ed\u30bb\u30b9\u306b\u306f3\u3064\u306e\u91cd\u8981\u306a\u30b9\u30c6\u30c3\u30d7\u304c\u3042\u308b\uff1a<\/p>\n\n\n<ul class=\"wp-block-list\">\n<li><p>\u307e\u305a\u3001\u30b7\u30b9\u30c6\u30e0\u306fLLM\u306b\u3001\u6ce8\u610f\u6df1\u304f\u64cd\u4f5c\u3055\u308c\u305f\u300c\u5e7b\u899a\u300d\u3092\u4f7f\u3063\u3066\u3001\u5bfe\u8c61\u30c6\u30ad\u30b9\u30c8\u306b\u5e7b\u899a\u304c\u3042\u308b\u304b\u3069\u3046\u304b\u3092\u8a55\u4fa1\u3059\u308b\u3088\u3046\u4fc3\u3059\u3002 <a rel=\"noopener noreferrer\" href=\"http:\/\/skimai.com\/ja\/%e3%83%97%e3%83%ad%e3%83%b3%e3%83%97%e3%83%88%e3%82%a8%e3%83%b3%e3%82%b8%e3%83%8b%e3%82%a2%e3%83%aa%e3%83%b3%e3%82%b0%e3%81%a8%e3%81%af\/\">\u8fc5\u901f<\/a>. <\/p><\/li><li><p>\u6b21\u306b\u3001\u3053\u306e\u30d7\u30ed\u30bb\u30b9\u3092\u8907\u6570\u56de\u3001\u901a\u5e38\u306f5\u56de\u7e70\u308a\u8fd4\u3057\u3001\u4fe1\u983c\u6027\u3092\u78ba\u4fdd\u3059\u308b\u3002 <\/p><\/li><li><p>\u6700\u5f8c\u306b\u3001\u30b7\u30b9\u30c6\u30e0\u306f\u300c\u306f\u3044\u300d\u306e\u56de\u7b54\u6570\uff08\u5e7b\u899a\u306e\u5b58\u5728\u3092\u793a\u3059\uff09\u3092\u56de\u7b54\u7dcf\u6570\u3067\u5272\u3063\u3066\u30b9\u30b3\u30a2\u3092\u7b97\u51fa\u3059\u308b\u3002<\/p><\/li>\n<\/ul>\n\n\n<p>\u3053\u306e\u30a2\u30d7\u30ed\u30fc\u30c1\u306b\u3088\u308a\u3001ChainPoll\u306fLLM\u306e\u8a00\u8a9e\u7406\u89e3\u80fd\u529b\u3092\u6d3b\u7528\u3057\u306a\u304c\u3089\u3001\u96c6\u8a08\u306b\u3088\u3063\u3066\u500b\u3005\u306e\u8a55\u4fa1\u30a8\u30e9\u30fc\u3092\u8efd\u6e1b\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3002<\/p>\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"The_role_of_chain-of-thought_prompting\"><\/span>\u601d\u8003\u306e\u9023\u9396\u3092\u4fc3\u3059\u5f79\u5272<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n<p>ChainPoll\u306e\u91cd\u8981\u306a\u9769\u65b0\u70b9\u306f\u3001\u601d\u8003\u9023\u9396\uff08CoT\uff09\u30d7\u30ed\u30f3\u30d7\u30c8\u306e\u4f7f\u7528\u3067\u3042\u308b\u3002\u3053\u306e\u6280\u6cd5\u306f\u3001\u3042\u308b\u6587\u7ae0\u306b\u5e7b\u899a\u304c\u542b\u307e\u308c\u3066\u3044\u308b\u304b\u3069\u3046\u304b\u3092\u5224\u65ad\u3059\u308b\u969b\u306b\u3001LLM\u306b\u305d\u306e\u63a8\u8ad6\u3092\u6bb5\u968e\u7684\u306b\u8aac\u660e\u3059\u308b\u3088\u3046\u4fc3\u3059\u3082\u306e\u3067\u3042\u308b\u3002\u8457\u8005\u3089\u306f\u3001\u614e\u91cd\u306b\u8a2d\u8a08\u3055\u308c\u305f\u300c\u8a73\u7d30\u306aCoT\u300d\u30d7\u30ed\u30f3\u30d7\u30c8\u304c\u3001\u3088\u308a\u4f53\u7cfb\u7684\u3067\u4fe1\u983c\u3067\u304d\u308b\u8aac\u660e\u3092\u30e2\u30c7\u30eb\u304b\u3089\u4e00\u8cab\u3057\u3066\u5f15\u304d\u51fa\u3059\u3053\u3068\u3092\u767a\u898b\u3057\u305f\u3002<\/p>\n\n\n<p>CoT\u3092\u7d44\u307f\u8fbc\u3080\u3053\u3068\u3067\u3001ChainPoll\u306f\u5e7b\u899a\u691c\u51fa\u306e\u7cbe\u5ea6\u3092\u5411\u4e0a\u3055\u305b\u308b\u3060\u3051\u3067\u306a\u304f\u3001\u30e2\u30c7\u30eb\u306e\u610f\u601d\u6c7a\u5b9a\u30d7\u30ed\u30bb\u30b9\u306b\u5bfe\u3059\u308b\u8cb4\u91cd\u306a\u6d1e\u5bdf\u3092\u63d0\u4f9b\u3059\u308b\u3002\u3053\u306e\u900f\u660e\u6027\u306f\u3001\u7279\u5b9a\u306e\u30c6\u30ad\u30b9\u30c8\u306b\u5e7b\u899a\u304c\u542b\u307e\u308c\u3066\u3044\u308b\u3068\u30d5\u30e9\u30b0\u304c\u7acb\u3066\u3089\u308c\u308b\u7406\u7531\u3092\u7406\u89e3\u3059\u308b\u4e0a\u3067\u6975\u3081\u3066\u91cd\u8981\u3067\u3042\u308a\u3001\u5c06\u6765\u7684\u306b\u306f\u3088\u308a\u30ed\u30d0\u30b9\u30c8\u306aLLM\u306e\u958b\u767a\u306b\u5f79\u7acb\u3064\u53ef\u80fd\u6027\u304c\u3042\u308b\u3002<\/p>\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Differentiating_between_open-domain_and_closed-domain_hallucinations\"><\/span>\u958b\u9818\u57df\u5e7b\u899a\u3068\u9589\u9818\u57df\u5e7b\u899a\u306e\u533a\u5225<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n<p>ChainPoll\u306e\u5f37\u307f\u306e\u4e00\u3064\u306f\u3001\u30aa\u30fc\u30d7\u30f3\u30c9\u30e1\u30a4\u30f3\u306e\u5e7b\u899a\u3068\u30af\u30ed\u30fc\u30ba\u30c9\u30c9\u30e1\u30a4\u30f3\u306e\u5e7b\u899a\u306e\u4e21\u65b9\u306b\u5bfe\u5fdc\u3067\u304d\u308b\u3053\u3068\u3067\u3042\u308b\u3002\u30aa\u30fc\u30d7\u30f3\u30c9\u30e1\u30a4\u30f3\u306e\u5e7b\u899a\u306f\u3001\u4e16\u754c\u4e00\u822c\u306b\u3064\u3044\u3066\u306e\u8aa4\u3063\u305f\u4e3b\u5f35\u3092\u6307\u3057\u3001\u30af\u30ed\u30fc\u30ba\u30c9\u30c9\u30e1\u30a4\u30f3\u306e\u5e7b\u899a\u306f\u3001\u7279\u5b9a\u306e\u53c2\u7167\u30c6\u30ad\u30b9\u30c8\u3084\u6587\u8108\u3068\u306e\u77db\u76fe\u3092\u542b\u3080\u3002<\/p>\n\n\n<p>\u3053\u308c\u3089\u306e\u7570\u306a\u308b\u30bf\u30a4\u30d7\u306e\u5e7b\u899a\u3092\u6271\u3046\u305f\u3081\u306b\u3001\u8457\u8005\u3089\u306fChainPoll\u306e2\u3064\u306e\u5909\u7a2e\u3092\u958b\u767a\u3057\u305f\uff1a <strong>\u30aa\u30fc\u30d7\u30f3\u30c9\u30e1\u30a4\u30f3\u306e\u5e7b\u899a\u306b\u5bfe\u3059\u308b\u30c1\u30a7\u30fc\u30f3\u30dd\u30fc\u30eb\u6b63\u3057\u3055 <\/strong>\u305d\u3057\u3066 <strong>\u30af\u30ed\u30fc\u30ba\u30c9\u30c9\u30e1\u30a4\u30f3\u306e\u5e7b\u899a\u306b\u5bfe\u3059\u308b\u30c1\u30a7\u30fc\u30f3\u30dd\u30fc\u30eb\u30fb\u30a2\u30c9\u30d2\u30a2\u30e9\u30f3\u30b9<\/strong>.\u3053\u308c\u3089\u306e\u30d0\u30ea\u30a8\u30fc\u30b7\u30e7\u30f3\u306f\u3001\u4e3b\u306b\u30d7\u30ed\u30f3\u30d7\u30c8\u6226\u7565\u304c\u7570\u306a\u308a\u3001ChainPoll\u306e\u4e2d\u6838\u3068\u306a\u308b\u624b\u6cd5\u3092\u7dad\u6301\u3057\u306a\u304c\u3089\u3001\u7570\u306a\u308b\u8a55\u4fa1\u30b3\u30f3\u30c6\u30ad\u30b9\u30c8\u306b\u9069\u5fdc\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u3063\u3066\u3044\u308b\u3002<\/p>\n\n\n<figure class=\"wp-block-image\">\n<img decoding=\"async\" src=\"http:\/\/skimai.com\/wp-content\/uploads\/2024\/07\/15b184a9-ee10-4b91-b94c-223c7c3e4fcc.png\" alt=\"\u30c1\u30a7\u30fc\u30f3\u30dd\u30fc\u30eb AUROC\" \/>\n<\/figure>\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"The_RealHall_Benchmark_Suite\"><\/span>\u30ea\u30a2\u30eb\u30db\u30fc\u30eb \u30d9\u30f3\u30c1\u30de\u30fc\u30af\u30fb\u30b9\u30a4\u30fc\u30c8<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n<p>\u8457\u8005\u3089\u306f\u3001\u65e2\u5b58\u306e\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u306e\u9650\u754c\u3092\u8a8d\u8b58\u3057\u3001\u3088\u308a\u73fe\u5b9f\u7684\u3067\u56f0\u96e3\u306a\u5e7b\u899a\u691c\u51fa\u6cd5\u306e\u8a55\u4fa1\u3092\u63d0\u4f9b\u3059\u308b\u305f\u3081\u306b\u8a2d\u8a08\u3055\u308c\u305f\u65b0\u3057\u3044\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u30fb\u30b9\u30a4\u30fc\u30c8\u3001RealHall\u3082\u958b\u767a\u3057\u305f\u3002<\/p>\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Criteria_for_dataset_selection_Challenge_Realism_Task_Diversity\"><\/span>\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u9078\u629e\u306e\u57fa\u6e96\uff08\u30c1\u30e3\u30ec\u30f3\u30b8\u3001\u30ea\u30a2\u30ea\u30ba\u30e0\u3001\u30bf\u30b9\u30af\u306e\u591a\u69d8\u6027\uff09<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n<p>\u30ea\u30a2\u30eb\u30db\u30fc\u30eb\u306e\u8a2d\u7acb\u306f\u30013\u3064\u306e\u91cd\u8981\u306a\u539f\u5247\u306b\u3088\u3063\u3066\u5c0e\u304b\u308c\u305f\uff1a<\/p>\n\n\n<ol class=\"wp-block-list\">\n<li><p><strong>\u30c1\u30e3\u30ec\u30f3\u30b8\u3060\uff1a <\/strong>\u3053\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306f\u3001\u6700\u5148\u7aef\u306eLLM\u306b\u3068\u3063\u3066\u3082\u5927\u304d\u306a\u56f0\u96e3\u3092\u3082\u305f\u3089\u3059\u306f\u305a\u3067\u3042\u308a\u3001\u30e2\u30c7\u30eb\u306e\u6539\u826f\u304c\u9032\u3093\u3067\u3082\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u304c\u9069\u5207\u3067\u3042\u308a\u7d9a\u3051\u308b\u3053\u3068\u3092\u4fdd\u8a3c\u3059\u308b\u3002<\/p><\/li><li><p><strong>\u30ea\u30a2\u30ea\u30ba\u30e0\uff1a <\/strong>\u30bf\u30b9\u30af\u306f\u3001LLM\u306e\u5b9f\u4e16\u754c\u3067\u306e\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3092\u5fe0\u5b9f\u306b\u53cd\u6620\u3057\u305f\u3082\u306e\u3067\u3042\u308b\u3079\u304d\u3067\u3001\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u306e\u7d50\u679c\u3092\u3088\u308a\u5b9f\u7528\u7684\u306a\u30b7\u30ca\u30ea\u30aa\u306b\u9069\u7528\u3067\u304d\u308b\u3088\u3046\u306b\u3059\u308b\u3002<\/p><\/li><li><p><strong>\u30bf\u30b9\u30af\u306e\u591a\u69d8\u6027\uff1a<\/strong> \u3053\u306e\u30b9\u30a4\u30fc\u30c8\u306f\u3001LLM\u306e\u5e45\u5e83\u3044\u80fd\u529b\u3092\u30ab\u30d0\u30fc\u3057\u3001\u5e7b\u899a\u691c\u51fa\u6cd5\u306e\u5305\u62ec\u7684\u306a\u8a55\u4fa1\u3092\u63d0\u4f9b\u3059\u308b\u3082\u306e\u3067\u306a\u3051\u308c\u3070\u306a\u3089\u306a\u3044\u3002<\/p><\/li>\n<\/ol>\n\n\n<p>\u3053\u308c\u3089\u306e\u57fa\u6e96\u304b\u3089\u3001\u5e7b\u899a\u691c\u51fa\u624b\u6cd5\u306e\u78ba\u304b\u306a\u5b9f\u9a13\u5834\u3068\u306a\u308b4\u3064\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u304c\u9078\u3070\u308c\u305f\u3002<\/p>\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Overview_of_the_four_datasets_in_RealHall\"><\/span>RealHall\u306e4\u3064\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u6982\u8981<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n<p>RealHall\u306f2\u7d44\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3067\u69cb\u6210\u3055\u308c\u3001\u305d\u308c\u305e\u308c\u304c\u5e7b\u899a\u691c\u51fa\u306e\u7570\u306a\u308b\u5074\u9762\u3092\u6271\u3063\u3066\u3044\u308b\uff1a<\/p>\n\n\n<ol class=\"wp-block-list\">\n<li><p><strong>\u30ea\u30a2\u30eb\u30db\u30fc\u30eb\u9589\u5e97\uff1a<\/strong> \u3053\u306e\u30da\u30a2\u306b\u306f\u3001COVID-QA with retrieval\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3068DROP\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u304c\u542b\u307e\u308c\u308b\u3002\u3053\u308c\u3089\u306f\u30af\u30ed\u30fc\u30ba\u30c9\u30c9\u30e1\u30a4\u30f3\u306e\u5e7b\u899a\u306b\u7126\u70b9\u3092\u5f53\u3066\u3001\u63d0\u4f9b\u3055\u308c\u305f\u53c2\u7167\u30c6\u30ad\u30b9\u30c8\u3068\u306e\u6574\u5408\u6027\u3092\u4fdd\u3064\u30e2\u30c7\u30eb\u306e\u80fd\u529b\u3092\u30c6\u30b9\u30c8\u3059\u308b\u3002<\/p><\/li><li><p><strong>\u30ea\u30a2\u30eb\u30db\u30fc\u30eb\u30fb\u30aa\u30fc\u30d7\u30f3 <\/strong>\u3053\u306e\u30da\u30a2\u306f\u3001Open Assistant prompts\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3068TriviaQA\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u304b\u3089\u306a\u308b\u3002\u3053\u308c\u3089\u306f\u30aa\u30fc\u30d7\u30f3\u30c9\u30e1\u30a4\u30f3\u306e\u5e7b\u899a\u3092\u5bfe\u8c61\u3068\u3057\u3066\u304a\u308a\u3001\u30e2\u30c7\u30eb\u304c\u4e16\u754c\u306b\u3064\u3044\u3066\u8aa4\u3063\u305f\u4e3b\u5f35\u3092\u3059\u308b\u306e\u3092\u907f\u3051\u308b\u80fd\u529b\u3092\u8a55\u4fa1\u3059\u308b\u3002<\/p><\/li>\n<\/ol>\n\n\n<p>RealHall\u306e\u5404\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306f\u3001\u305d\u306e\u30e6\u30cb\u30fc\u30af\u306a\u8ab2\u984c\u3068\u5b9f\u4e16\u754c\u306eLLM\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3068\u306e\u95a2\u9023\u6027\u304b\u3089\u9078\u3070\u308c\u305f\u3002\u4f8b\u3048\u3070\u3001COVID-QA\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306f\u3001\u691c\u7d22\u306b\u3088\u308b\u751f\u6210\u30b7\u30ca\u30ea\u30aa\u3092\u6a21\u5023\u3057\u3001DROP\u306f\u96e2\u6563\u63a8\u8ad6\u80fd\u529b\u3092\u30c6\u30b9\u30c8\u3059\u308b\u3002<\/p>\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"How_RealHall_addresses_limitations_of_previous_benchmarks\"><\/span>RealHall\u306f\u3069\u306e\u3088\u3046\u306b\u4ee5\u524d\u306e\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u306e\u9650\u754c\u306b\u5bfe\u51e6\u3057\u3066\u3044\u308b\u304b<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n<p>RealHall\u306f\u3001\u3044\u304f\u3064\u304b\u306e\u70b9\u3067\u3001\u4ee5\u524d\u306e\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u3088\u308a\u5927\u5e45\u306b\u6539\u5584\u3055\u308c\u3066\u3044\u308b\u3002\u7b2c\u4e00\u306b\u3001\u3088\u308a\u65b0\u3057\u304f\u5f37\u529b\u306aLLM\u3092\u4f7f\u7528\u3057\u3066\u5fdc\u7b54\u3092\u751f\u6210\u3059\u308b\u305f\u3081\u3001\u691c\u51fa\u3055\u308c\u308b\u5e7b\u899a\u304c\u73fe\u5728\u306e\u6700\u65b0\u30e2\u30c7\u30eb\u306b\u3088\u3063\u3066\u751f\u6210\u3055\u308c\u305f\u3082\u306e\u3092\u4ee3\u8868\u3059\u308b\u3053\u3068\u304c\u4fdd\u8a3c\u3055\u308c\u308b\u3002\u3053\u308c\u306f\u3001\u7c21\u5358\u306b\u691c\u51fa\u53ef\u80fd\u306a\u5e7b\u899a\u3092\u751f\u6210\u3059\u308b\u6642\u4ee3\u9045\u308c\u306e\u30e2\u30c7\u30eb\u3092\u4f7f\u7528\u3057\u305f\u53e4\u3044\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u306b\u3088\u304f\u898b\u3089\u308c\u308b\u554f\u984c\u306b\u5bfe\u51e6\u3059\u308b\u3082\u306e\u3067\u3042\u308b\u3002<\/p>\n\n\n<p>\u7b2c\u4e8c\u306b\u3001RealHall\u306f\u30bf\u30b9\u30af\u306e\u591a\u69d8\u6027\u3068\u30ea\u30a2\u30ea\u30ba\u30e0\u306b\u91cd\u70b9\u3092\u7f6e\u3044\u3066\u3044\u308b\u305f\u3081\u3001\u5e7b\u899a\u691c\u51fa\u624b\u6cd5\u306e\u3088\u308a\u5305\u62ec\u7684\u3067\u5b9f\u7528\u7684\u306a\u8a55\u4fa1\u304c\u53ef\u80fd\u3067\u3042\u308b\u3002\u3053\u308c\u306f\u3001\u72ed\u304f\u7279\u5b9a\u306e\u30bf\u30b9\u30af\u3084\u4eba\u5de5\u7684\u306a\u30b7\u30ca\u30ea\u30aa\u306b\u7126\u70b9\u3092\u5f53\u3066\u305f\u3001\u3053\u308c\u307e\u3067\u306e\u591a\u304f\u306e\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u3068\u306f\u5bfe\u7167\u7684\u3067\u3042\u308b\u3002<\/p>\n\n\n<p>\u6700\u5f8c\u306b\u3001\u30aa\u30fc\u30d7\u30f3\u30fb\u30c9\u30e1\u30a4\u30f3\u3068\u30af\u30ed\u30fc\u30ba\u30c9\u30fb\u30c9\u30e1\u30a4\u30f3\u306e\u4e21\u65b9\u306e\u30bf\u30b9\u30af\u3092\u542b\u3080\u3053\u3068\u3067\u3001RealHall\u306f\u5e7b\u899a\u691c\u51fa\u65b9\u6cd5\u306e\u3088\u308a\u5fae\u5999\u306a\u8a55\u4fa1\u3092\u53ef\u80fd\u306b\u3059\u308b\u3002\u3053\u308c\u306f\u3001\u5b9f\u4e16\u754c\u306eLLM\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306e\u591a\u304f\u304c\u3001\u4e21\u65b9\u306e\u30bf\u30a4\u30d7\u306e\u5e7b\u899a\u691c\u51fa\u3092\u5fc5\u8981\u3068\u3059\u308b\u305f\u3081\u3001\u7279\u306b\u91cd\u8981\u3067\u3042\u308b\u3002<\/p>\n\n\n<p>\u3053\u308c\u3089\u306e\u6539\u5584\u306b\u3088\u308a\u3001RealHall\u306f\u5e7b\u899a\u691c\u51fa\u6cd5\u3092\u8a55\u4fa1\u3059\u308b\u305f\u3081\u306e\u3001\u3088\u308a\u53b3\u5bc6\u3067\u9069\u5207\u306a\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u3092\u63d0\u4f9b\u3057\u3001\u3053\u306e\u5206\u91ce\u306b\u304a\u3051\u308b\u65b0\u305f\u306a\u57fa\u6e96\u3092\u6253\u3061\u7acb\u3066\u305f\u3002<\/p>\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Experimental_Results_and_Analysis\"><\/span>\u5b9f\u9a13\u7d50\u679c\u3068\u5206\u6790<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n<p>ChainPoll\u306f\u3001RealHall\u30b9\u30a4\u30fc\u30c8\u306e\u5168\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u3067\u512a\u308c\u305f\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u793a\u3057\u305f\u3002ChainPoll\u306fAUROC\uff08Receiver Operating Characteristic\u66f2\u7dda\u4e0b\u9762\u7a4d\uff090.781\u3092\u9054\u6210\u3057\u3001\u6b21\u70b9\u306eSelfCheck-BertScore\u306e0.673\u3092\u5927\u304d\u304f\u4e0a\u56de\u3063\u305f\u300210%\u3092\u4e0a\u56de\u308b\u3053\u306e\u5927\u5e45\u306a\u6539\u5584\u306f\u3001\u5e7b\u899a\u691c\u51fa\u80fd\u529b\u306e\u5927\u304d\u306a\u98db\u8e8d\u3092\u610f\u5473\u3059\u308b\u3002<\/p>\n\n\n<p>\u30c6\u30b9\u30c8\u3055\u308c\u305f\u4ed6\u306e\u624b\u6cd5\u306b\u306f\u3001SelfCheck-NGram\u3001G-Eval\u3001GPTScore\u304c\u542b\u307e\u308c\u308b\u304c\u3001\u3044\u305a\u308c\u3082ChainPoll\u3088\u308a\u9855\u8457\u306b\u6210\u7e3e\u304c\u60aa\u304b\u3063\u305f\u3002\u8208\u5473\u6df1\u3044\u3053\u3068\u306b\u3001GPTScore\u306e\u3088\u3046\u306a\u4ee5\u524d\u306e\u7814\u7a76\u3067\u6709\u671b\u8996\u3055\u308c\u3066\u3044\u305f\u3044\u304f\u3064\u304b\u306e\u624b\u6cd5\u306f\u3001\u3088\u308a\u56f0\u96e3\u3067\u591a\u69d8\u306aRealHall\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u3067\u306f\u4f4e\u8abf\u306a\u7d50\u679c\u3068\u306a\u3063\u305f\u3002<\/p>\n\n\n<figure class=\"wp-block-image\">\n<img decoding=\"async\" src=\"http:\/\/skimai.com\/wp-content\/uploads\/2024\/07\/7d7936bf-08f1-487b-8def-a6cde378a45b.png\" alt=\"\u30c1\u30a7\u30fc\u30f3\u30dd\u30fc\u30eb AUROC\" \/>\n<\/figure>\n\n\n<p>ChainPoll\u306e\u6027\u80fd\u306f\u3001\u30aa\u30fc\u30d7\u30f3\u30c9\u30e1\u30a4\u30f3\u306e\u5e7b\u899a\u691c\u51fa\u30bf\u30b9\u30af\u3068\u30af\u30ed\u30fc\u30ba\u30c9\u30c9\u30e1\u30a4\u30f3\u306e\u5e7b\u899a\u691c\u51fa\u30bf\u30b9\u30af\u306e\u4e21\u65b9\u3067\u4e00\u8cab\u3057\u3066\u5f37\u529b\u3067\u3042\u3063\u305f\u3002\u30aa\u30fc\u30d7\u30f3\u30c9\u30e1\u30a4\u30f3\u306e\u30bf\u30b9\u30af\uff08ChainPoll-Correctness\u3092\u4f7f\u7528\uff09\u3067\u306f\u3001\u5e73\u5747AUROC 0.772\u3092\u9054\u6210\u3057\u3001\u30af\u30ed\u30fc\u30ba\u30c9\u30c9\u30e1\u30a4\u30f3\u306e\u30bf\u30b9\u30af\uff08ChainPoll-Adherence\u3092\u4f7f\u7528\uff09\u3067\u306f\u30010.789\u3092\u8a18\u9332\u3057\u305f\u3002<\/p>\n\n\n<p>\u3053\u306e\u65b9\u6cd5\u306f\u3001\u96e2\u6563\u63a8\u8ad6\u3092\u5fc5\u8981\u3068\u3059\u308bDROP\u306e\u3088\u3046\u306a\u56f0\u96e3\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3067\u7279\u306b\u5f37\u3055\u3092\u767a\u63ee\u3057\u305f\u3002 <\/p>\n\n\n<p>ChainPoll\u306f\u3001\u305d\u306e\u512a\u308c\u305f\u7cbe\u5ea6\u3060\u3051\u3067\u306a\u304f\u3001\u591a\u304f\u306e\u7af6\u5408\u624b\u6cd5\u3088\u308a\u3082\u52b9\u7387\u7684\u3067\u8cbb\u7528\u5bfe\u52b9\u679c\u304c\u9ad8\u3044\u3053\u3068\u3082\u8a3c\u660e\u3057\u305f\u3002ChainPoll\u306f\u3001\u6b21\u5584\u306e\u65b9\u6cd5\u3067\u3042\u308bSelfCheck-BertScore\u306e1\/4\u306eLLM\u63a8\u8ad6\u91cf\u3057\u304b\u4f7f\u7528\u305b\u305a\u306b\u7d50\u679c\u3092\u9054\u6210\u3057\u305f\u3002\u3055\u3089\u306b\u3001ChainPoll\u306fBERT\u306e\u3088\u3046\u306a\u8ffd\u52a0\u30e2\u30c7\u30eb\u3092\u4f7f\u7528\u3059\u308b\u5fc5\u8981\u304c\u306a\u3044\u305f\u3081\u3001\u8a08\u7b97\u30aa\u30fc\u30d0\u30fc\u30d8\u30c3\u30c9\u3092\u3055\u3089\u306b\u524a\u6e1b\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n<p>\u3053\u306e\u52b9\u7387\u306f\u3001\u5b9f\u7528\u7684\u306a\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306b\u3068\u3063\u3066\u6975\u3081\u3066\u91cd\u8981\u3067\u3042\u308b\u3002\u306a\u305c\u306a\u3089\u3001\u6cd5\u5916\u306a\u30b3\u30b9\u30c8\u3084\u5f85\u3061\u6642\u9593\u3092\u767a\u751f\u3055\u305b\u308b\u3053\u3068\u306a\u304f\u3001\u751f\u7523\u74b0\u5883\u306b\u304a\u3051\u308b\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u306e\u5e7b\u899a\u691c\u51fa\u3092\u53ef\u80fd\u306b\u3059\u308b\u304b\u3089\u3067\u3042\u308b\u3002<\/p>\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Implications_and_Future_Work\"><\/span>\u610f\u5473\u5408\u3044\u3068\u4eca\u5f8c\u306e\u8ab2\u984c<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n<p>ChainPoll\u306f\u3001LLM\u306e\u5e7b\u899a\u691c\u51fa\u306e\u5206\u91ce\u306b\u304a\u3051\u308b\u5927\u304d\u306a\u9032\u6b69\u3092\u610f\u5473\u3059\u308b\u3002\u3053\u306e\u6210\u529f\u306f\u3001AI\u306e\u5b89\u5168\u6027\u3068\u4fe1\u983c\u6027\u3092\u5411\u4e0a\u3055\u305b\u308b\u30c4\u30fc\u30eb\u3068\u3057\u3066LLM\u305d\u306e\u3082\u306e\u3092\u5229\u7528\u3059\u308b\u53ef\u80fd\u6027\u3092\u793a\u3057\u3066\u3044\u308b\u3002\u3053\u306e\u30a2\u30d7\u30ed\u30fc\u30c1\u306f\u3001\u81ea\u5df1\u6539\u5584\u30fb\u81ea\u5df1\u30c1\u30a7\u30c3\u30afAI\u30b7\u30b9\u30c6\u30e0\u306e\u7814\u7a76\u306b\u65b0\u305f\u306a\u9053\u3092\u958b\u304f\u3082\u306e\u3067\u3042\u308b\u3002<\/p>\n\n\n<p>ChainPoll\u306e\u52b9\u7387\u6027\u3068\u6b63\u78ba\u6027\u306f\u3001\u5e45\u5e83\u3044AI\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3078\u306e\u7d71\u5408\u306b\u9069\u3057\u3066\u3044\u308b\u3002\u30c1\u30e3\u30c3\u30c8\u30dc\u30c3\u30c8\u306e\u4fe1\u983c\u6027\u3092\u9ad8\u3081\u305f\u308a\u3001\u30b8\u30e3\u30fc\u30ca\u30ea\u30ba\u30e0\u3084\u30c6\u30af\u30cb\u30ab\u30eb\u30e9\u30a4\u30c6\u30a3\u30f3\u30b0\u306e\u3088\u3046\u306a\u5206\u91ce\u3067AI\u304c\u751f\u6210\u3059\u308b\u30b3\u30f3\u30c6\u30f3\u30c4\u306e\u7cbe\u5ea6\u3092\u9ad8\u3081\u305f\u308a\u3001\u30d8\u30eb\u30b9\u30b1\u30a2\u3084\u91d1\u878d\u306e\u3088\u3046\u306a\u91cd\u8981\u306a\u9818\u57df\u3067AI\u30a2\u30b7\u30b9\u30bf\u30f3\u30c8\u306e\u4fe1\u983c\u6027\u3092\u9ad8\u3081\u305f\u308a\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3067\u304d\u308b\u3060\u308d\u3046\u3002<\/p>\n\n\n<p>ChainPoll\u306f\u5370\u8c61\u7684\u306a\u7d50\u679c\u3092\u793a\u3057\u3066\u3044\u308b\u304c\u3001\u3055\u3089\u306a\u308b\u7814\u7a76\u3068\u6539\u5584\u306e\u4f59\u5730\u306f\u307e\u3060\u3042\u308b\u3002\u4eca\u5f8c\u306e\u8ab2\u984c\u3068\u3057\u3066\u306f<\/p>\n\n\n<ol 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this article, we are going to break down an important research paper that addresses one of the most pressing challenges facing large language models (LLMs): hallucinations. The paper, titled &#8220;ChainPoll: A High Efficacy Method for LLM Hallucination Detection,&#8221; introduces a novel approach to identifying and mitigating these AI-generated inaccuracies. The ChainPoll paper, authored by researchers at Galileo Technologies Inc., presents a new methodology for detecting hallucinations in LLM outputs. This method, named ChainPoll, outperforms existing alternatives in both accuracy and efficiency. Additionally, the paper introduces RealHall, a carefully curated suite of benchmark datasets designed to evaluate hallucination detection metrics more effectively than previous benchmarks. Hallucinations in LLMs refer to [&hellip;]<\/p>\n","protected":false},"author":1003,"featured_media":12910,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"single-custom-post-template.php","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-12648","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>AI Research Paper Breakdown for ChainPoll: A High Efficacy Method for LLM Hallucination Detection - Skim AI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/skimai.com\/ja\/ai\u7814\u7a76\u8ad6\u6587\uff1a\u5e7b\u899a\u691c\u51fa\u306e\u305f\u3081\u306e\u6709\u52b9\u6027\u306e\u9ad8\u3044\u30c1\u30a7\u30fc\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI Research Paper Breakdown for ChainPoll: A High Efficacy Method for LLM Hallucination Detection - Skim AI\" \/>\n<meta property=\"og:description\" content=\"In this article, we are going to break down an important research paper that addresses one of the most pressing challenges facing large language models (LLMs): hallucinations. The paper, titled &#8220;ChainPoll: A High Efficacy Method for LLM Hallucination Detection,&#8221; introduces a novel approach to identifying and mitigating these AI-generated inaccuracies. The ChainPoll paper, authored by researchers at Galileo Technologies Inc., presents a new methodology for detecting hallucinations in LLM outputs. This method, named ChainPoll, outperforms existing alternatives in both accuracy and efficiency. Additionally, the paper introduces RealHall, a carefully curated suite of benchmark datasets designed to evaluate hallucination detection metrics more effectively than previous benchmarks. Hallucinations in LLMs refer to [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/skimai.com\/ja\/ai\u7814\u7a76\u8ad6\u6587\uff1a\u5e7b\u899a\u691c\u51fa\u306e\u305f\u3081\u306e\u6709\u52b9\u6027\u306e\u9ad8\u3044\u30c1\u30a7\u30fc\/\" \/>\n<meta property=\"og:site_name\" content=\"Skim AI\" \/>\n<meta property=\"article:published_time\" content=\"2024-08-03T04:50:48+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/skimai.com\/wp-content\/uploads\/2024\/08\/chainpoll-for-llm-hallucination-detection.png\" \/>\n\t<meta property=\"og:image:width\" content=\"2000\" \/>\n\t<meta property=\"og:image:height\" content=\"1609\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Greggory Elias\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u57f7\u7b46\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"Greggory Elias\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u63a8\u5b9a\u8aad\u307f\u53d6\u308a\u6642\u9593\" \/>\n\t<meta name=\"twitter:data2\" content=\"10\u5206\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/skimai.com\/ai-research-paper-breakdown-for-chainpoll-a-high-efficacy-method-for-llm-hallucination-detection\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/skimai.com\/ai-research-paper-breakdown-for-chainpoll-a-high-efficacy-method-for-llm-hallucination-detection\/\"},\"author\":{\"name\":\"Greggory Elias\",\"@id\":\"https:\/\/skimai.com\/uk\/#\/schema\/person\/7a883b4a2d2ea22040f42a7975eb86c6\"},\"headline\":\"AI Research Paper Breakdown for ChainPoll: A High Efficacy Method for LLM Hallucination Detection\",\"datePublished\":\"2024-08-03T04:50:48+00:00\",\"dateModified\":\"2024-08-03T04:50:48+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/skimai.com\/ai-research-paper-breakdown-for-chainpoll-a-high-efficacy-method-for-llm-hallucination-detection\/\"},\"wordCount\":1972,\"publisher\":{\"@id\":\"https:\/\/skimai.com\/uk\/#organization\"},\"image\":{\"@id\":\"https:\/\/skimai.com\/ai-research-paper-breakdown-for-chainpoll-a-high-efficacy-method-for-llm-hallucination-detection\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/skimai.com\/wp-content\/uploads\/2024\/08\/chainpoll-for-llm-hallucination-detection.png\",\"articleSection\":[\"Uncategorized\"],\"inLanguage\":\"ja\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/skimai.com\/ai-research-paper-breakdown-for-chainpoll-a-high-efficacy-method-for-llm-hallucination-detection\/\",\"url\":\"https:\/\/skimai.com\/ai-research-paper-breakdown-for-chainpoll-a-high-efficacy-method-for-llm-hallucination-detection\/\",\"name\":\"AI Research Paper Breakdown for ChainPoll: A High Efficacy Method for LLM Hallucination Detection - 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The paper, titled &#8220;ChainPoll: A High Efficacy Method for LLM Hallucination Detection,&#8221; introduces a novel approach to identifying and mitigating these AI-generated inaccuracies. The ChainPoll paper, authored by researchers at Galileo Technologies Inc., presents a new methodology for detecting hallucinations in LLM outputs. This method, named ChainPoll, outperforms existing alternatives in both accuracy and efficiency. Additionally, the paper introduces RealHall, a carefully curated suite of benchmark datasets designed to evaluate hallucination detection metrics more effectively than previous benchmarks. Hallucinations in LLMs refer to [&hellip;]","og_url":"https:\/\/skimai.com\/ja\/ai\u7814\u7a76\u8ad6\u6587\uff1a\u5e7b\u899a\u691c\u51fa\u306e\u305f\u3081\u306e\u6709\u52b9\u6027\u306e\u9ad8\u3044\u30c1\u30a7\u30fc\/","og_site_name":"Skim AI","article_published_time":"2024-08-03T04:50:48+00:00","og_image":[{"width":2000,"height":1609,"url":"https:\/\/skimai.com\/wp-content\/uploads\/2024\/08\/chainpoll-for-llm-hallucination-detection.png","type":"image\/png"}],"author":"Greggory Elias","twitter_card":"summary_large_image","twitter_misc":{"\u57f7\u7b46\u8005":"Greggory Elias","\u63a8\u5b9a\u8aad\u307f\u53d6\u308a\u6642\u9593":"10\u5206"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/skimai.com\/ai-research-paper-breakdown-for-chainpoll-a-high-efficacy-method-for-llm-hallucination-detection\/#article","isPartOf":{"@id":"https:\/\/skimai.com\/ai-research-paper-breakdown-for-chainpoll-a-high-efficacy-method-for-llm-hallucination-detection\/"},"author":{"name":"Greggory Elias","@id":"https:\/\/skimai.com\/uk\/#\/schema\/person\/7a883b4a2d2ea22040f42a7975eb86c6"},"headline":"AI Research Paper Breakdown for ChainPoll: A High Efficacy Method for LLM Hallucination Detection","datePublished":"2024-08-03T04:50:48+00:00","dateModified":"2024-08-03T04:50:48+00:00","mainEntityOfPage":{"@id":"https:\/\/skimai.com\/ai-research-paper-breakdown-for-chainpoll-a-high-efficacy-method-for-llm-hallucination-detection\/"},"wordCount":1972,"publisher":{"@id":"https:\/\/skimai.com\/uk\/#organization"},"image":{"@id":"https:\/\/skimai.com\/ai-research-paper-breakdown-for-chainpoll-a-high-efficacy-method-for-llm-hallucination-detection\/#primaryimage"},"thumbnailUrl":"https:\/\/skimai.com\/wp-content\/uploads\/2024\/08\/chainpoll-for-llm-hallucination-detection.png","articleSection":["Uncategorized"],"inLanguage":"ja"},{"@type":"WebPage","@id":"https:\/\/skimai.com\/ai-research-paper-breakdown-for-chainpoll-a-high-efficacy-method-for-llm-hallucination-detection\/","url":"https:\/\/skimai.com\/ai-research-paper-breakdown-for-chainpoll-a-high-efficacy-method-for-llm-hallucination-detection\/","name":"ChainPoll\u306eAI\u7814\u7a76\u8ad6\u6587\u5185\u8a33\uff1aLLM\u5e7b\u899a\u691c\u51fa\u306e\u305f\u3081\u306e\u6709\u52b9\u6027\u306e\u9ad8\u3044\u624b\u6cd5 - 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