casmlab / NPHardEvalLinks
Repository for NPHardEval, a quantified-dynamic benchmark of LLMs
☆61Updated last year
Alternatives and similar repositories for NPHardEval
Users that are interested in NPHardEval are comparing it to the libraries listed below
Sorting:
- Replicating O1 inference-time scaling laws☆90Updated last year
- Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"☆48Updated last year
- Official github repo for the paper "Compression Represents Intelligence Linearly" [COLM 2024]☆143Updated last year
- ☆75Updated last year
- The repository contains code for Adaptive Data Optimization☆28Updated 11 months ago
- A dataset of LLM-generated chain-of-thought steps annotated with mistake location.☆84Updated last year
- Codebase for Instruction Following without Instruction Tuning☆36Updated last year
- PASTA: Post-hoc Attention Steering for LLMs☆129Updated last year
- Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model☆45Updated 2 months ago
- Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"☆76Updated 6 months ago
- CodeUltraFeedback: aligning large language models to coding preferences (TOSEM 2025)☆72Updated last year
- Unofficial Implementation of Chain-of-Thought Reasoning Without Prompting☆34Updated last year
- Scalable Meta-Evaluation of LLMs as Evaluators☆43Updated last year
- Source code of "Reasons to Reject? Aligning Language Models with Judgments"☆58Updated last year
- RL Scaling and Test-Time Scaling (ICML'25)☆112Updated 10 months ago
- ☆28Updated 3 weeks ago
- Code and Data for "Long-context LLMs Struggle with Long In-context Learning" [TMLR2025]☆110Updated 9 months ago
- ☆100Updated last year
- Code for the ICLR 2024 paper "How to catch an AI liar: Lie detection in black-box LLMs by asking unrelated questions"☆71Updated last year
- B-STAR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners☆86Updated 6 months ago
- Language models scale reliably with over-training and on downstream tasks☆100Updated last year
- Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators (Liu et al.; COLM 2024)☆48Updated 10 months ago
- Long Context Extension and Generalization in LLMs☆62Updated last year
- Code for PHATGOOSE introduced in "Learning to Route Among Specialized Experts for Zero-Shot Generalization"☆91Updated last year
- Exploration of automated dataset selection approaches at large scales.☆50Updated 9 months ago
- ☆129Updated last year
- Directional Preference Alignment☆58Updated last year
- [ICML 2025] Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples☆112Updated 4 months ago
- [ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"☆54Updated last year
- ☆105Updated 6 months ago