hkust-nlp / llm-compression-intelligenceLinks
Official github repo for the paper "Compression Represents Intelligence Linearly" [COLM 2024]
☆144Updated last year
Alternatives and similar repositories for llm-compression-intelligence
Users that are interested in llm-compression-intelligence are comparing it to the libraries listed below
Sorting:
- Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision☆125Updated last year
- RL Scaling and Test-Time Scaling (ICML'25)☆112Updated 11 months ago
- [NeurIPS'24] Official code for *🎯DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving*☆119Updated last year
- [NeurIPS 2024] OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI☆108Updated 9 months ago
- A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models☆70Updated 10 months ago
- Self-Alignment with Principle-Following Reward Models☆169Updated 3 months ago
- ☆60Updated 7 months ago
- [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following☆134Updated last year
- Code and Data for "Long-context LLMs Struggle with Long In-context Learning" [TMLR2025]☆110Updated 10 months ago
- [NeurIPS'24 Spotlight] Observational Scaling Laws☆59Updated last year
- Code for "Reasoning to Learn from Latent Thoughts"☆123Updated 8 months ago
- [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning☆118Updated 7 months ago
- Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"☆76Updated 7 months ago
- Homepage for ProLong (Princeton long-context language models) and paper "How to Train Long-Context Language Models (Effectively)"☆241Updated 3 months ago
- GenRM-CoT: Data release for verification rationales☆67Updated last year
- Repo of paper "Free Process Rewards without Process Labels"☆168Updated 9 months ago
- A curated list of awesome resources dedicated to Scaling Laws for LLMs☆80Updated 2 years ago
- ☆109Updated 5 months ago
- Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024]☆149Updated last year
- [ACL 2024 Findings] MathBench: A Comprehensive Multi-Level Difficulty Mathematics Evaluation Dataset☆109Updated 7 months ago
- [ICML 2025] Predictive Data Selection: The Data That Predicts Is the Data That Teaches☆59Updated 9 months ago
- Official repository for ACL 2025 paper "ProcessBench: Identifying Process Errors in Mathematical Reasoning"☆181Updated 7 months ago
- ☆108Updated 7 months ago
- ☆102Updated 2 years ago
- ☆79Updated 9 months ago
- The official repository of the Omni-MATH benchmark.☆89Updated last year
- Interpretable Contrastive Monte Carlo Tree Search Reasoning☆48Updated last year
- Code for ICLR 2025 Paper "What is Wrong with Perplexity for Long-context Language Modeling?"☆107Updated 2 months ago
- PASTA: Post-hoc Attention Steering for LLMs☆132Updated last year
- Language models scale reliably with over-training and on downstream tasks☆100Updated last year