amazon-science / RefCheckerLinks
RefChecker provides automatic checking pipeline and benchmark dataset for detecting fine-grained hallucinations generated by Large Language Models.
☆408Updated 7 months ago
Alternatives and similar repositories for RefChecker
Users that are interested in RefChecker are comparing it to the libraries listed below
Sorting:
- SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models☆590Updated last year
- Code for paper "G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment"☆401Updated last year
- Github repository for "RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models"☆215Updated last year
- Comprehensive benchmark for RAG☆253Updated 6 months ago
- [EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627☆505Updated last year
- Automated Evaluation of RAG Systems☆683Updated 9 months ago
- Repository for "MultiHop-RAG: A Dataset for Evaluating Retrieval-Augmented Generation Across Documents" (COLM 2024)☆412Updated 9 months ago
- This is the repository of HaluEval, a large-scale hallucination evaluation benchmark for Large Language Models.☆544Updated last year
- Code repo for the ICML 2024 paper "Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam Generation"☆85Updated last year
- RankLLM is a Python toolkit for reproducible information retrieval research using rerankers, with a focus on listwise reranking.☆568Updated 2 weeks ago
- Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs☆302Updated last year
- ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels …☆284Updated 2 years ago
- Is ChatGPT Good at Search? LLMs as Re-Ranking Agent [EMNLP 2023 Outstanding Paper Award]☆649Updated last year
- Data and code for FreshLLMs (https://arxiv.org/abs/2310.03214)☆383Updated last month
- Forward-Looking Active REtrieval-augmented generation (FLARE)☆662Updated 2 years ago
- Corrective Retrieval Augmented Generation☆437Updated last year
- ACL2023 - AlignScore, a metric for factual consistency evaluation.☆148Updated last year
- Dense X Retrieval: What Retrieval Granularity Should We Use?☆167Updated 2 years ago
- Evaluate your LLM's response with Prometheus and GPT4 💯☆1,029Updated 8 months ago
- Generative Representational Instruction Tuning☆681Updated 6 months ago
- This is the repository for our paper "INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning"☆207Updated last year
- MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents [EMNLP 2024]☆194Updated 4 months ago
- Multilingual/multidomain question generation datasets, models, and python library for question generation.☆372Updated last year
- ☆294Updated 2 years ago
- Code and data for "Lost in the Middle: How Language Models Use Long Contexts"☆373Updated 2 years ago
- Source code for the paper "Active Prompting with Chain-of-Thought for Large Language Models"☆248Updated last year
- A package to evaluate factuality of long-form generation. Original implementation of our EMNLP 2023 paper "FActScore: Fine-grained Atomic…☆414Updated 8 months ago
- RAGChecker: A Fine-grained Framework For Diagnosing RAG☆1,039Updated last year
- Benchmarking library for RAG☆252Updated 3 months ago
- ☆229Updated 2 months ago