yuxiaw / Factcheck-GPTLinks
Fact-Checking the Output of Generative Large Language Models in both Annotation and Evaluation.
☆106Updated last year
Alternatives and similar repositories for Factcheck-GPT
Users that are interested in Factcheck-GPT are comparing it to the libraries listed below
Sorting:
- [Data + code] ExpertQA : Expert-Curated Questions and Attributed Answers☆135Updated last year
- ☆189Updated 3 months ago
- ☆52Updated last year
- Github repository for "RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models"☆205Updated 10 months ago
- [IJCAI 2024] FactCHD: Benchmarking Fact-Conflicting Hallucination Detection☆89Updated last year
- RARR: Researching and Revising What Language Models Say, Using Language Models☆49Updated 2 years ago
- ☆74Updated last year
- ☆79Updated last year
- ACL2023 - AlignScore, a metric for factual consistency evaluation.☆138Updated last year
- [Preprint] Learning to Filter Context for Retrieval-Augmented Generaton☆198Updated last year
- Code, datasets, models for the paper "Automatic Evaluation of Attribution by Large Language Models"☆56Updated 2 years ago
- [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"☆77Updated last year
- Companion code for FanOutQA: Multi-Hop, Multi-Document Question Answering for Large Language Models (ACL 2024)☆55Updated last month
- Dense X Retrieval: What Retrieval Granularity Should We Use?☆163Updated last year
- Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024]☆148Updated last year
- Token-level Reference-free Hallucination Detection☆96Updated 2 years ago
- Code for Search-in-the-Chain: Towards Accurate, Credible and Traceable Large Language Models for Knowledge-intensive Tasks☆58Updated last year
- Code and data for the FACTOR paper☆52Updated last year
- Implementation of the paper: "Answering Questions by Meta-Reasoning over Multiple Chains of Thought"☆96Updated last year
- Code for the arXiv paper: "LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond"☆60Updated 9 months ago
- Repository for MuSiQue: Multi-hop Questions via Single-hop Question Composition, TACL 2022☆173Updated last year
- Code and Data for "Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering"☆86Updated last year
- [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…☆124Updated last year
- This is the repository for our paper "INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning"☆204Updated 10 months ago
- This repository contains the dataset and code for "WiCE: Real-World Entailment for Claims in Wikipedia" in EMNLP 2023.☆41Updated last year
- Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)☆59Updated last year
- Code and data for paper "Context-faithful Prompting for Large Language Models".☆41Updated 2 years ago
- An open-source library for contamination detection in NLP datasets and Large Language Models (LLMs).☆56Updated last year
- Code and data accompanying the paper "TRUE: Re-evaluating Factual Consistency Evaluation".☆81Updated this week
- [NAACL 2024] End-to-End Beam Retrieval for Multi-Hop Question Answering☆116Updated last year