Alternatives and similar repositories for llm-cross-capabilities

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

• GAIR-NLP / OlympicArena
  [NeurIPS 2024] OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI
  ☆102Updated 5 months ago
• kaistAI / Janus
  [NeurIPS 2024] Train LLMs with diverse system messages reflecting individualized preferences to generalize to unseen system messages
  ☆49Updated 8 months ago
• TIGER-AI-Lab / MAmmoTH2
  Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024]
  ☆146Updated 9 months ago
• SihengLi99 / SEALONG
  Large Language Models Can Self-Improve in Long-context Reasoning
  ☆72Updated 8 months ago
• chujiezheng / LLM-Extrapolation
  Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"
  ☆75Updated 2 months ago
• WHGTyen / BIG-Bench-Mistake
  A dataset of LLM-generated chain-of-thought steps annotated with mistake location.
  ☆81Updated 11 months ago
• wwxu21 / CUT
  Source code of "Reasons to Reject? Aligning Language Models with Judgments"
  ☆58Updated last year
• sail-sg / scaling-with-vocab
  [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623
  ☆86Updated 10 months ago
• DAMO-NLP-SG / LongPO
  [ICLR 2025] LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization
  ☆38Updated 5 months ago
• hkust-nlp / llm-compression-intelligence
  Official github repo for the paper "Compression Represents Intelligence Linearly" [COLM 2024]
  ☆139Updated 10 months ago
• allenai / easy-to-hard-generalization
  Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"
  ☆48Updated last year
• Raibows / Learn-to-Reason
  Code for "Democratizing Reasoning Ability: Tailored Learning from Large Language Model", EMNLP 2023
  ☆36Updated last year
• SalesforceAIResearch / FoFo
  ☆26Updated 6 months ago
• ernie-research / Tool-Augmented-Reward-Model
  [ICLR'24 spotlight] Tool-Augmented Reward Modeling
  ☆51Updated 2 months ago
• hamishivi / automated-instruction-selection
  Exploration of automated dataset selection approaches at large scales.
  ☆47Updated 5 months ago
• clinicalml / co-llm
  Co-LLM: Learning to Decode Collaboratively with Multiple Language Models
  ☆116Updated last year
• qhjqhj00 / WebBrain
  ☆68Updated 2 years ago
• mukhal / GRACE
  [EMNLP '23] Discriminator-Guided Chain-of-Thought Reasoning
  ☆48Updated 9 months ago
• IBM / SALMON
  Self-Alignment with Principle-Following Reward Models
  ☆162Updated 2 months ago
• Re-Align / just-eval
  A simple GPT-based evaluation tool for multi-aspect, interpretable assessment of LLMs.
  ☆85Updated last year
• r-three / RAD
  Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model
  ☆44Updated last year
• LAMDASZ-ML / Self-Backtracking
  ☆47Updated 5 months ago
• HypherX / Evolution-Analysis
  ☆22Updated 7 months ago
• GAIR-NLP / benbench
  Benchmarking Benchmark Leakage in Large Language Models
  ☆55Updated last year
• WadeYin9712 / Dynosaur
  Code and data for "Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation" (EMNLP 2023)
  ☆64Updated last year
• microsoft / LEMA
  official repo for the paper "Learning From Mistakes Makes LLM Better Reasoner"
  ☆59Updated last year
• open-compass / GPassK
  [ACL 2025] Are Your LLMs Capable of Stable Reasoning?
  ☆28Updated 4 months ago
• abacusai / smaug
  ☆75Updated last year
• Quehry / HelloBench
  HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models
  ☆46Updated 8 months ago
• TIGER-AI-Lab / General-Reasoner
  General Reasoner: Advancing LLM Reasoning Across All Domains
  ☆156Updated last month