Alternatives and similar repositories for llm-cross-capabilities

Users that are interested in llm-cross-capabilities are comparing it to the libraries listed below

• kaistAI / Janus
  [NeurIPS 2024] Train LLMs with diverse system messages reflecting individualized preferences to generalize to unseen system messages
  ☆48Updated 6 months ago
• chujiezheng / LLM-Extrapolation
  Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"
  ☆73Updated last month
• DAMO-NLP-SG / LongPO
  [ICLR 2025] LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization
  ☆37Updated 3 months ago
• GAIR-NLP / OlympicArena
  [NeurIPS 2024] OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI
  ☆102Updated 3 months ago
• hbin0701 / Self-Explore
  [𝐄𝐌𝐍𝐋𝐏 𝐅𝐢𝐧𝐝𝐢𝐧𝐠𝐬 𝟐𝟎𝟐𝟒 & 𝐀𝐂𝐋 𝟐𝟎𝟐𝟒 𝐍𝐋𝐑𝐒𝐄 𝐎𝐫𝐚𝐥] 𝘌𝘯𝘩𝘢𝘯𝘤𝘪𝘯𝘨 𝘔𝘢𝘵𝘩𝘦𝘮𝘢𝘵𝘪𝘤𝘢𝘭 𝘙𝘦𝘢𝘴𝘰𝘯𝘪𝘯…
  ☆51Updated last year
• ernie-research / Tool-Augmented-Reward-Model
  [ICLR'24 spotlight] Tool-Augmented Reward Modeling
  ☆50Updated 2 weeks ago
• Raibows / Learn-to-Reason
  Code for "Democratizing Reasoning Ability: Tailored Learning from Large Language Model", EMNLP 2023
  ☆35Updated last year
• mukhal / GRACE
  Discriminator-Guided Chain-of-Thought Reasoning
  ☆48Updated 8 months ago
• HKUNLP / critic-rl
  [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning
  ☆99Updated last month
• zankner / CLoud
  Critique-out-Loud Reward Models
  ☆66Updated 8 months ago
• open-compass / CriticEval
  [NeurIPS 2024] A comprehensive benchmark for evaluating critique ability of LLMs
  ☆39Updated 6 months ago
• GAIR-NLP / weak-to-strong-reasoning
  ☆59Updated 9 months ago
• GAIR-NLP / OctoThinker
  Revisiting Mid-training in the Era of RL Scaling
  ☆62Updated 2 months ago
• SynthLabsAI / big-math
  A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models
  ☆57Updated 4 months ago
• hamishivi / automated-instruction-selection
  Exploration of automated dataset selection approaches at large scales.
  ☆45Updated 3 months ago
• hkust-nlp / llm-compression-intelligence
  Official github repo for the paper "Compression Represents Intelligence Linearly" [COLM 2024]
  ☆138Updated 9 months ago
• WHGTyen / BIG-Bench-Mistake
  A dataset of LLM-generated chain-of-thought steps annotated with mistake location.
  ☆81Updated 10 months ago
• GAIR-NLP / AIME-Preview
  ☆68Updated 3 months ago
• SihengLi99 / SEALONG
  Large Language Models Can Self-Improve in Long-context Reasoning
  ☆70Updated 7 months ago
• fangyuan-ksgk / CoT-Reasoning-without-Prompting
  Unofficial Implementation of Chain-of-Thought Reasoning Without Prompting
  ☆32Updated last year
• wwxu21 / CUT
  Source code of "Reasons to Reject? Aligning Language Models with Judgments"
  ☆58Updated last year
• DAMO-NLP-SG / CLEX
  [ICLR 2024] CLEX: Continuous Length Extrapolation for Large Language Models
  ☆78Updated last year
• ChengpengLi1003 / DotaMath
  ☆30Updated 5 months ago
• snu-mllab / Context-Memory
  Pytorch implementation for "Compressed Context Memory For Online Language Model Interaction" (ICLR'24)
  ☆61Updated last year
• RUCAIBox / RLMEC
  The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"
  ☆38Updated last year
• joeljang / RLPHF
  Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging
  ☆107Updated last year
• Leooyii / LCEG
  Long Context Extension and Generalization in LLMs
  ☆57Updated 9 months ago
• TIGER-AI-Lab / MAmmoTH2
  Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024]
  ☆144Updated 7 months ago
• yyDing1 / ScaleQuest
  [ACL-25] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.
  ☆63Updated 7 months ago
• GAIR-NLP / MetaCritique
  Evaluate the Quality of Critique
  ☆35Updated last year