allenai / easy-to-hard-generalizationLinks
Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"
☆48Updated last year
Alternatives and similar repositories for easy-to-hard-generalization
Users that are interested in easy-to-hard-generalization are comparing it to the libraries listed below
Sorting:
- Codebase for Instruction Following without Instruction Tuning☆36Updated last year
- ☆65Updated last year
- The repository contains code for Adaptive Data Optimization☆26Updated 10 months ago
- Exploration of automated dataset selection approaches at large scales.☆47Updated 7 months ago
- Repository for NPHardEval, a quantified-dynamic benchmark of LLMs☆59Updated last year
- CodeUltraFeedback: aligning large language models to coding preferences (TOSEM 2025)☆71Updated last year
- The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling☆35Updated last week
- Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model☆43Updated 3 weeks ago
- Source code of "Reasons to Reject? Aligning Language Models with Judgments"☆58Updated last year
- This is the oficial repository for "Safer-Instruct: Aligning Language Models with Automated Preference Data"☆17Updated last year
- B-STAR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners☆85Updated 5 months ago
- Repository for Skill Set Optimization☆14Updated last year
- ☆33Updated 9 months ago
- A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models☆65Updated 7 months ago
- Sotopia-RL: Reward Design for Social Intelligence☆43Updated 2 months ago
- Syntax Error-Free and Generalizable Tool Use for LLMs via Finite-State Decoding☆27Updated last year
- Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"☆75Updated 5 months ago
- [ACL 2025] Are Your LLMs Capable of Stable Reasoning?☆30Updated 2 months ago
- ☆72Updated last year
- [ICML 2025] Predictive Data Selection: The Data That Predicts Is the Data That Teaches☆56Updated 7 months ago
- [NeurIPS 2024] OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI☆105Updated 7 months ago
- Official implementation of Bootstrapping Language Models via DPO Implicit Rewards☆44Updated 6 months ago
- ☆86Updated last year
- Language models scale reliably with over-training and on downstream tasks☆100Updated last year
- Directional Preference Alignment☆57Updated last year
- Improving Language Understanding from Screenshots. Paper: https://arxiv.org/abs/2402.14073☆30Updated last year
- Self-Alignment with Principle-Following Reward Models☆168Updated last month
- Long Context Extension and Generalization in LLMs☆62Updated last year
- Official github repo for the paper "Compression Represents Intelligence Linearly" [COLM 2024]☆142Updated last year
- Benchmarking Benchmark Leakage in Large Language Models☆55Updated last year