Alternatives and similar repositories for scaleeval:

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

• TIGER-AI-Lab / MAmmoTH2
  Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024]
  ☆139Updated 6 months ago
• WHGTyen / BIG-Bench-Mistake
  A dataset of LLM-generated chain-of-thought steps annotated with mistake location.
  ☆81Updated 8 months ago
• 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
• ScalerLab / JudgeBench
  ☆72Updated 6 months ago
• abhika-m / FAVA
  ☆69Updated last year
• princeton-nlp / LLMBar
  [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following
  ☆124Updated 10 months ago
• Zayne-sprague / MuSR
  ☆43Updated 8 months ago
• GAIR-NLP / MetaCritique
  Evaluate the Quality of Critique
  ☆34Updated 11 months ago
• zankner / CLoud
  Critique-out-Loud Reward Models
  ☆64Updated 6 months ago
• GAIR-NLP / AIME-Preview
  ☆62Updated last month
• neulab / data-agora
  [arXiv preprint] Official Repository for "Evaluating Language Models as Synthetic Data Generators"
  ☆33Updated 4 months ago
• architsharma97 / dpo-rlaif
  ☆97Updated 10 months ago
• chujiezheng / LLM-Extrapolation
  Official repository for paper "Weak-to-Strong Extrapolation Expedites Alignment"
  ☆74Updated 11 months ago
• wwxu21 / CUT
  Source code of "Reasons to Reject? Aligning Language Models with Judgments"
  ☆58Updated last year
• SynthLabsAI / big-math
  A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models
  ☆51Updated 2 months ago
• csitfun / LogiCoT
  the instructions and demonstrations for building a formal logical reasoning capable GLM
  ☆53Updated 8 months ago
• THUDM / T1
  Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling
  ☆101Updated 3 months ago
• abertsch72 / long-context-icl
  Data and code for the preprint "In-Context Learning with Long-Context Models: An In-Depth Exploration"
  ☆35Updated 8 months ago
• kaistAI / Janus
  [NeurIPS 2024] Train LLMs with diverse system messages reflecting individualized preferences to generalize to unseen system messages
  ☆45Updated 5 months ago
• voidism / SelfCite
  Implementation of "SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models"
  ☆27Updated 2 months ago
• Re-Align / just-eval
  A simple GPT-based evaluation tool for multi-aspect, interpretable assessment of LLMs.
  ☆85Updated last year
• ernie-research / Tool-Augmented-Reward-Model
  [ICLR'24 spotlight] Tool-Augmented Reward Modeling
  ☆47Updated 4 months ago
• cambridgeltl / PairS
  Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators (Liu et al.; COLM 2024)
  ☆47Updated 3 months ago
• TIGER-AI-Lab / LongICLBench
  Code and Data for "Long-context LLMs Struggle with Long In-context Learning" [TMLR2025]
  ☆105Updated 2 months ago
• ars22 / scaling-LLM-math-synthetic-data
  Code and data used in the paper: "Training on Incorrect Synthetic Data via RL Scales LLM Math Reasoning Eight-Fold"
  ☆30Updated 10 months ago
• HKUNLP / critic-rl
  Code for Paper: Teaching Language Models to Critique via Reinforcement Learning
  ☆94Updated 3 weeks ago
• orionw / FollowIR
  FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions
  ☆44Updated 10 months ago
• martin-wey / CodeUltraFeedback
  CodeUltraFeedback: aligning large language models to coding preferences
  ☆71Updated 10 months ago
• Yu-Fangxu / FoR
  [ICML 2025] Flow of Reasoning: Training LLMs for Divergent Problem Solving with Minimal Examples
  ☆85Updated last month
• GAIR-NLP / weak-to-strong-reasoning
  ☆59Updated 8 months ago