amazon-science / RefCheckerLinks
RefChecker provides automatic checking pipeline and benchmark dataset for detecting fine-grained hallucinations generated by Large Language Models.
☆398Updated 5 months ago
Alternatives and similar repositories for RefChecker
Users that are interested in RefChecker are comparing it to the libraries listed below
Sorting:
- Code for paper "G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment"☆391Updated last year
- SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models☆572Updated last year
- RankLLM is a Python toolkit for reproducible information retrieval research using rerankers, with a focus on listwise reranking.☆547Updated this week
- [EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627☆498Updated last year
- Automated Evaluation of RAG Systems☆667Updated 7 months ago
- ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels …☆282Updated 2 years ago
- Comprehensive benchmark for RAG☆232Updated 4 months ago
- Forward-Looking Active REtrieval-augmented generation (FLARE)☆655Updated last year
- Repository for "MultiHop-RAG: A Dataset for Evaluating Retrieval-Augmented Generation Across Documents" (COLM 2024)☆382Updated 7 months ago
- Is ChatGPT Good at Search? LLMs as Re-Ranking Agent [EMNLP 2023 Outstanding Paper Award]☆640Updated last year
- Github repository for "RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models"☆206Updated 11 months ago
- Code repo for the ICML 2024 paper "Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam Generation"☆83Updated last year
- This is the repository of HaluEval, a large-scale hallucination evaluation benchmark for Large Language Models.☆520Updated last year
- Data and code for FreshLLMs (https://arxiv.org/abs/2310.03214)☆377Updated 2 weeks ago
- Dense X Retrieval: What Retrieval Granularity Should We Use?☆163Updated last year
- Generative Representational Instruction Tuning☆677Updated 4 months ago
- Corrective Retrieval Augmented Generation☆418Updated last year
- HyDE: Precise Zero-Shot Dense Retrieval without Relevance Labels☆556Updated 11 months ago
- Train and Infer Powerful Sentence Embeddings with AnglE | 🔥 SOTA on STS and MTEB Leaderboard☆558Updated 3 weeks ago
- Official Implementation of "Multi-Head RAG: Solving Multi-Aspect Problems with LLMs"☆230Updated last month
- Multilingual/multidomain question generation datasets, models, and python library for question generation.☆364Updated last year
- MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents [EMNLP 2024]☆187Updated 2 months ago
- Contriever: Unsupervised Dense Information Retrieval with Contrastive Learning☆760Updated 2 years ago
- This is the repository for our paper "INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning"☆204Updated 10 months ago
- Guideline following Large Language Model for Information Extraction☆408Updated last year
- Evaluate your LLM's response with Prometheus and GPT4 💯☆1,007Updated 6 months ago
- Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs☆295Updated last year
- Repository for Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions, ACL23☆237Updated last year
- A package to evaluate factuality of long-form generation. Original implementation of our EMNLP 2023 paper "FActScore: Fine-grained Atomic…☆398Updated 6 months ago
- RAGChecker: A Fine-grained Framework For Diagnosing RAG☆1,011Updated 10 months ago