Alternatives and similar repositories for OpenFactCheck

Users that are interested in OpenFactCheck are comparing it to the libraries listed below

• yuxiaw / Factcheck-GPT
  Fact-Checking the Output of Generative Large Language Models in both Annotation and Evaluation.
  ☆105Updated last year
• chaitanyamalaviya / ExpertQA
  [Data + code] ExpertQA : Expert-Curated Questions and Attributed Answers
  ☆133Updated last year
• abhika-m / FAVA
  ☆74Updated last year
• OSU-NLP-Group / AttrScore
  Code, datasets, models for the paper "Automatic Evaluation of Attribution by Large Language Models"
  ☆56Updated 2 years ago
• McGill-NLP / instruct-qa
  Code and Data for "Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering"
  ☆86Updated last year
• microsoft / HaDes
  Token-level Reference-free Hallucination Detection
  ☆96Updated 2 years ago
• qhjqhj00 / WebBrain
  ☆68Updated 2 years ago
• orionw / rank1
  Test-time compute in information retrieval
  ☆44Updated 3 months ago
• jakespringer / echo-embeddings
  ☆155Updated last year
• awslabs / rag-qa-arena
  ☆48Updated last year
• DAMO-NLP-SG / contrastive-cot
  Contrastive Chain-of-Thought Prompting
  ☆68Updated last year
• salesforce / factualNLG
  Code for the arXiv paper: "LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond"
  ☆59Updated 8 months ago
• orionw / FollowIR
  FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions
  ☆47Updated last year
• TIGER-AI-Lab / MAmmoTH2
  Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024]
  ☆148Updated 11 months ago
• Hannibal046 / SelfMemory
  [Neurips2023] Source code for Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory
  ☆62Updated 2 years ago
• zjunlp / FactCHD
  [IJCAI 2024] FactCHD: Benchmarking Fact-Conflicting Hallucination Detection
  ☆89Updated last year
• kaistAI / Janus
  [NeurIPS 2024] Train LLMs with diverse system messages reflecting individualized preferences to generalize to unseen system messages
  ☆50Updated 2 months ago
• oriyor / reasoning-on-cots
  Implementation of the paper: "Answering Questions by Meta-Reasoning over Multiple Chains of Thought"
  ☆96Updated last year
• princeton-nlp / LLMBar
  [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following
  ☆131Updated last year
• neulab / data-agora
  [ACL 2025 Main] Official Repository for "Evaluating Language Models as Synthetic Data Generators"
  ☆38Updated 9 months ago
• ParticleMedia / RAGTruth
  Github repository for "RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models"
  ☆203Updated 10 months ago
• wzhouad / context-faithful-llm
  Code and data for paper "Context-faithful Prompting for Large Language Models".
  ☆41Updated 2 years ago
• WadeYin9712 / Dynosaur
  Code and data for "Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation" (EMNLP 2023)
  ☆64Updated last year
• SALT-NLP / demonstrated-feedback
  ☆128Updated last year
• hyintell / RetrievalQA
  Source code of the paper: RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering [F…
  ☆68Updated last year
• OSU-NLP-Group / llm-planning-eval
  [ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"
  ☆54Updated last year
• anthonywchen / RARR
  RARR: Researching and Revising What Language Models Say, Using Language Models
  ☆48Updated 2 years ago
• DaoD / INTERS
  This is the repository for our paper "INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning"
  ☆204Updated 9 months ago
• shizhediao / R-Tuning
  [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…
  ☆121Updated last year
• xsc1234 / Search-in-the-Chain
  Code for Search-in-the-Chain: Towards Accurate, Credible and Traceable Large Language Models for Knowledge-intensive Tasks
  ☆58Updated last year