hkgc-1 / GHPOLinks
☆59Updated 6 months ago
Alternatives and similar repositories for GHPO
Users that are interested in GHPO are comparing it to the libraries listed below
Sorting:
- [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models☆65Updated last year
- RM-R1: Unleashing the Reasoning Potential of Reward Models☆156Updated 7 months ago
- Official code of *Virgo: A Preliminary Exploration on Reproducing o1-like MLLM*☆109Updated 8 months ago
- A comrephensive collection of learning from rewards in the post-training and test-time scaling of LLMs, with a focus on both reward model…☆60Updated 7 months ago
- A unified suite for generating elite reasoning problems and training high-performance LLMs, including pioneering attention-free architect…☆132Updated 3 months ago
- [ICLR 2025] LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization☆43Updated 11 months ago
- RewardAnything: Generalizable Principle-Following Reward Models☆45Updated 7 months ago
- [AAAI 2026] Official codebase for "GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning".☆95Updated 2 months ago
- PSFT is a trust-region–inspired fine-tuning objective that views SFT as a policy gradient method with constant advantages, constraining p…☆34Updated 4 months ago
- ☆43Updated 5 months ago
- ☆111Updated 7 months ago
- ☆177Updated last month
- R1-Searcher++: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement Learning☆71Updated 8 months ago
- ☆39Updated 6 months ago
- Test-time preferenece optimization (ICML 2025).☆178Updated 8 months ago
- Code for Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models☆92Updated last year
- [EMNLP 2025] LightThinker: Thinking Step-by-Step Compression☆131Updated 9 months ago
- Official completion of “Training on the Benchmark Is Not All You Need”.☆38Updated last year
- Large Language Models Can Self-Improve in Long-context Reasoning☆72Updated last year
- Pre-trained, Scalable, High-performance Reward Models via Policy Discriminative Learning.☆164Updated 4 months ago
- Revisiting Mid-training in the Era of Reinforcement Learning Scaling☆182Updated 6 months ago
- [ACL'25] We propose a novel fine-tuning method, Separate Memory and Reasoning, which combines prompt tuning with LoRA.☆83Updated 2 months ago
- CoT-Valve: Length-Compressible Chain-of-Thought Tuning☆89Updated 11 months ago
- A set of examples based on verl for end-to-end RL training recipes.☆139Updated last week
- xVerify: Efficient Answer Verifier for Reasoning Model Evaluations☆143Updated 2 months ago
- [EMNLP'25 Industry] Repo for "Z1: Efficient Test-time Scaling with Code"☆68Updated 9 months ago
- [ACL 2025] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLM…☆68Updated last year
- [NeurIPS 2024] A Novel Rank-Based Metric for Evaluating Large Language Models☆57Updated 8 months ago
- General Reasoner: Advancing LLM Reasoning Across All Domains [NeurIPS25]☆213Updated 2 months ago
- ☆87Updated 5 months ago