maple-research-lab / SLOTLinks
☆112Updated 5 months ago
Alternatives and similar repositories for SLOT
Users that are interested in SLOT are comparing it to the libraries listed below
Sorting:
- [ACL'25] We propose a novel fine-tuning method, Separate Memory and Reasoning, which combines prompt tuning with LoRA.☆79Updated last month
- xVerify: Efficient Answer Verifier for Reasoning Model Evaluations☆140Updated 3 weeks ago
- CPPO: Accelerating the Training of Group Relative Policy Optimization-Based Reasoning Models (NeurIPS 2025)☆167Updated last month
- Pre-trained, Scalable, High-performance Reward Models via Policy Discriminative Learning.☆161Updated 2 months ago
- Extrapolating RLVR to General Domains without Verifiers☆180Updated 3 months ago
- ☆169Updated 2 months ago
- [AAAI 2026] Official codebase for "GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning".☆91Updated last month
- Our code for ICLR'25 paper "DataMan: Data Manager for Pre-training Large Language Models".☆108Updated 3 months ago
- CoT-Valve: Length-Compressible Chain-of-Thought Tuning☆88Updated 9 months ago
- OpenRFT: Adapting Reasoning Foundation Model for Domain-specific Tasks with Reinforcement Fine-Tuning☆154Updated 11 months ago
- One-shot Entropy Minimization☆187Updated 5 months ago
- [ACL 2024] The official codebase for the paper "Self-Distillation Bridges Distribution Gap in Language Model Fine-tuning".☆138Updated last year
- Official code of *Virgo: A Preliminary Exploration on Reproducing o1-like MLLM*☆109Updated 6 months ago
- 🔧Tool-Star: Empowering LLM-brained Multi-Tool Reasoner via Reinforcement Learning☆293Updated last month
- ☆213Updated 9 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…☆58Updated 5 months ago
- ☆46Updated 8 months ago
- ☆52Updated 9 months ago
- "what, how, where, and how well? a survey on test-time scaling in large language models" repository☆79Updated this week
- Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning☆190Updated 8 months ago
- Test-time preferenece optimization (ICML 2025).☆172Updated 7 months ago
- Towards a Unified View of Large Language Model Post-Training☆191Updated 3 months ago
- PSFT is a trust-region–inspired fine-tuning objective that views SFT as a policy gradient method with constant advantages, constraining p…☆33Updated 3 months ago
- [NeurIPS'25 Spotlight] ARM: Adaptive Reasoning Model☆60Updated last month
- A unified suite for generating elite reasoning problems and training high-performance LLMs, including pioneering attention-free architect…☆130Updated last month
- 🚀 LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training☆89Updated last year
- Scaling Preference Data Curation via Human-AI Synergy☆132Updated 5 months ago
- RM-R1: Unleashing the Reasoning Potential of Reward Models☆152Updated 5 months ago
- ☆26Updated last year
- MMSearch-R1 is an end-to-end RL framework that enables LMMs to perform on-demand, multi-turn search with real-world multimodal search too…☆360Updated 3 months ago