Alternatives and similar repositories for just-eval

Users that are interested in just-eval are comparing it to the libraries listed below

• wwxu21 / CUT
  Source code of "Reasons to Reject? Aligning Language Models with Judgments"
  ☆58Updated last year
• liyucheng09 / Contamination_Detector
  Lightweight tool to identify Data Contamination in LLMs evaluation
  ☆53Updated last year
• abhika-m / FAVA
  ☆75Updated last year
• TIGER-AI-Lab / MAmmoTH2
  Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024]
  ☆148Updated last year
• google / sycophancy-intervention
  Scripts for generating synthetic finetuning data for reducing sycophancy.
  ☆119Updated 2 years ago
• chujiezheng / LLM-Extrapolation
  Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"
  ☆75Updated 8 months ago
• GAIR-NLP / scaleeval
  Scalable Meta-Evaluation of LLMs as Evaluators
  ☆43Updated last year
• GAIR-NLP / OPO
  ☆51Updated last year
• IBM / SALMON
  Self-Alignment with Principle-Following Reward Models
  ☆169Updated 4 months ago
• GAIR-NLP / ReAlign
  Reformatted Alignment
  ☆111Updated last year
• DAMO-NLP-SG / contrastive-cot
  Contrastive Chain-of-Thought Prompting
  ☆68Updated 2 years ago
• WHGTyen / BIG-Bench-Mistake
  A dataset of LLM-generated chain-of-thought steps annotated with mistake location.
  ☆85Updated last year
• ernie-research / Tool-Augmented-Reward-Model
  [ICLR'24 spotlight] Tool-Augmented Reward Modeling
  ☆53Updated 8 months ago
• WadeYin9712 / Dynosaur
  Code and data for "Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation" (EMNLP 2023)
  ☆64Updated 2 years ago
• GAIR-NLP / OlympicArena
  [NeurIPS 2024] OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI
  ☆107Updated 11 months ago
• TIGER-AI-Lab / LongICLBench
  Code and Data for "Long-context LLMs Struggle with Long In-context Learning" [TMLR2025]
  ☆111Updated 11 months ago
• GasolSun36 / Iter-CoT
  [NAACL 2024] Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models
  ☆86Updated last year
• RUCAIBox / BAMBOO
  ☆35Updated last year
• allenai / easy-to-hard-generalization
  Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"
  ☆48Updated 2 years ago
• yinzhangyue / SelfAware
  Do Large Language Models Know What They Don’t Know?
  ☆102Updated 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
• princeton-nlp / LLMBar
  [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following
  ☆136Updated last year
• GAIR-NLP / Entropy-ABF
  Official implementation for 'Extending LLMs’ Context Window with 100 Samples'
  ☆81Updated 2 years ago
• lifan-yuan / CRAFT
  Code for ICLR 2024 paper "CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets"
  ☆60Updated last year
• gpt4life / alpagasus
  Unofficial implementation of AlpaGasus
  ☆94Updated 2 years ago
• LuLuLuyi / LongHeads
  [EMNLP'24] LongHeads: Multi-Head Attention is Secretly a Long Context Processor
  ☆31Updated last year
• thu-coai / PICL
  Code for ACL2023 paper: Pre-Training to Learn in Context
  ☆106Updated last year
• Junjie-Ye / ToolEyes
  [COLING 2025] ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios
  ☆73Updated 8 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…
  ☆129Updated last year
• clinicalml / co-llm
  Co-LLM: Learning to Decode Collaboratively with Multiple Language Models
  ☆126Updated last year