Large language model (LLM) systems, such as ChatGPT1or Gemini2, can show impressive reasoning and question-answering capabilities but often ‘hallucinate’ false outputs and unsubstantiated answers3,4. Answering unreliably or without the necessary information prevents adoption in diverse fields, with p...
At Vectara, we call this concept “Grounded Generation,” but it’s also commonly known as “Retrieval Augmented Generation” (RAG) in academic literature. This has been shown in a number of studies to reduce the rates of hallucinations in LLMs (Benchmarking Large Language Models in Retrieval...
Researchers need a general method for detecting hallucinations in LLMs that works even with new and unseen questions to which humans might not know the answer. Here we develop new methods grounded in statistics, proposing entropy-based uncertainty estimators for LLMs to detect a subset of ...
Researchers need a general method for detecting hallucinations in LLMs that works even with new and unseen questions to which humans might not know the answer. Here we develop new methods grounded in statistics, proposing entropy-based uncertainty estimators for LLMs to detect a subset of ...
DelucionQA: Detecting Hallucinations in Domain-specific Question Answering Mobashir Sadat, Zhengyu Zhou, Lukas Lange, Jun Araki, Arsalan Gundroo, Bingqing Wang, Rakesh R Menon, Md. Rizwan Parvez, Zhe Feng 2023 A New Benchmark and Reverse Validation Method f...
论文提炼-FACTCHECKMATE: PREEMPTIVELY DETECTING AND MITIGATING HALLUCINATIONS IN LMS MIT EI seminar, Hyung Won Chung from OpenAI. "Don't teach. Incentivize."这个视频里面提到了一种幻觉消除的方法,但不是用探针,而是直接用强化学习训练模型去分辨自己会不会。思路非常先进,想象力极强。
【幻觉探测】The Hallurag Dataset: Detecting Closed-Domain Hallucinations in RAG ... Abstract: 文章关注重点是训练中未使用的信息的幻觉,通过使用再现性来确保信息是在训练数据截止日期之后出现的。本研究通过使用各种 LLM 的不同内部状态在句子层面检测这些幻觉,同时引入了HalluRAG,这是一个旨在对这些幻觉进行分类...
Detecting hallucinations in Zero Context setting is challenging due to the lack of references. To ease the problem, our benchmark collects questions from Closed Book QA dataset that have human annotated references; we believe these data would have already been included in LLM’s training corpus. ...
Prospective longitudinal assessment of hallucinations in Parkinson's disease. To monitor the evolution of hallucinations over 4 years in a stratified sample of patients with PD.Using a modified version of the Unified PD Rating Scale ... C G,Goetz,Leurgans,... - 《Neurology》 被引量: 256发表...
Detecting hallucinations in Zero Context setting is challenging due to the lack of references. To ease the problem, our benchmark collects questions from Closed Book QA dataset that have human annotated references; we believe these data would have already been included in LLM’s training corpus. ...