Alternatives and similar repositories for FairEval

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

• FranxYao / FlanT5-CoT-Specialization
  Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.
  ☆133Updated 2 years ago
• yinzhangyue / SelfAware
  Do Large Language Models Know What They Don’t Know?
  ☆99Updated 11 months ago
• Spico197 / Humpback
  🐋 An unofficial implementation of Self-Alignment with Instruction Backtranslation.
  ☆139Updated 5 months ago
• princeton-nlp / QuRating
  [ICML 2024] Selecting High-Quality Data for Training Language Models
  ☆188Updated last year
• JetRunner / SuperICL
  Code for "Small Models are Valuable Plug-ins for Large Language Models"
  ☆131Updated 2 years ago
• hongbinye / Cognitive-Mirage-Hallucinations-in-LLMs
  Repository for the paper "Cognitive Mirage: A Review of Hallucinations in Large Language Models"
  ☆47Updated last year
• princeton-nlp / LLMBar
  [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following
  ☆131Updated last year
• Junjie-Ye / ToolEyes
  [COLING 2025] ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios
  ☆69Updated 4 months ago
• BenfengXu / KNNPrompting
  Released code for our ICLR23 paper.
  ☆66Updated 2 years ago
• GAIR-NLP / auto-j
  Generative Judge for Evaluating Alignment
  ☆246Updated last year
• thu-coai / PICL
  Code for ACL2023 paper: Pre-Training to Learn in Context
  ☆107Updated last year
• OpenMOSS / Say-I-Dont-Know
  [ICML'2024] Can AI Assistants Know What They Don't Know?
  ☆83Updated last year
• 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
• thu-coai / ComplexBench
  Benchmarking Complex Instruction-Following with Multiple Constraints Composition (NeurIPS 2024 Datasets and Benchmarks Track)
  ☆95Updated 7 months ago
• hkust-nlp / felm
  Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)
  ☆59Updated last year
• orhonovich / instruction-induction
  ☆67Updated 3 years ago
• OhadRubin / EPR
  ☆64Updated 2 years ago
• yegcjs / mixinglaws
  ☆105Updated 2 months ago
• allenai / FineGrainedRLHF
  ☆280Updated 9 months ago
• HKUNLP / icl-ceil
  [ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.
  ☆102Updated 2 years ago
• TIGER-AI-Lab / TIGERScore
  "TIGERScore: Towards Building Explainable Metric for All Text Generation Tasks" [TMLR 2024]
  ☆31Updated 9 months ago
• YuxiXie / SelfEval-Guided-Decoding
  ☆103Updated last year
• AI21Labs / in-context-ralm
  ☆291Updated last year
• DAMO-NLP-SG / M3Exam
  Data and code for paper "M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models"
  ☆102Updated 2 years ago
• THU-KEG / KoLA
  [ICLR24] The open-source repo of THU-KEG's KoLA benchmark.
  ☆51Updated 2 years ago
• jinlanfu / GPTScore
  Source Code of Paper "GPTScore: Evaluate as You Desire"
  ☆257Updated 2 years ago
• OFA-Sys / gsm8k-ScRel
  Codes and Data for Scaling Relationship on Learning Mathematical Reasoning with Large Language Models
  ☆266Updated last year
• HillZhang1999 / ICD
  Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"
  ☆69Updated last year
• YJiangcm / FollowBench
  [ACL 2024] FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models
  ☆114Updated 3 months ago
• IBM / SALMON
  Self-Alignment with Principle-Following Reward Models
  ☆165Updated 3 weeks ago