sastpg / RFTTLinks
RFTT: Reasoning with Reinforced Functional Token Tuning
☆29Updated 6 months ago
Alternatives and similar repositories for RFTT
Users that are interested in RFTT are comparing it to the libraries listed below
Sorting:
- [AAAI 2026] Official codebase for "GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning".☆94Updated 2 months ago
- This is the official implementation of the paper "S²R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning"☆72Updated 8 months ago
- Pre-trained, Scalable, High-performance Reward Models via Policy Discriminative Learning.☆163Updated 3 months ago
- A Sober Look at Language Model Reasoning☆92Updated last month
- [ACL'25] We propose a novel fine-tuning method, Separate Memory and Reasoning, which combines prompt tuning with LoRA.☆82Updated 2 months ago
- Code for "CREAM: Consistency Regularized Self-Rewarding Language Models", ICLR 2025.☆28Updated 10 months ago
- CoT-Valve: Length-Compressible Chain-of-Thought Tuning☆88Updated 10 months ago
- ACL'2025: SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMs. and preprint: SoftCoT++: Test-Time Scaling with Soft Chain-of…☆74Updated 7 months ago
- Test-time preferenece optimization (ICML 2025).☆177Updated 8 months ago
- Implementation for the research paper "Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision".☆55Updated last year
- ☆176Updated last month
- [ICLR 2025] SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction☆86Updated 9 months ago
- MemGen: Weaving Generative Latent Memory for Self-Evolving Agents☆263Updated last month
- Official repository for paper "DeepCritic: Deliberate Critique with Large Language Models"☆40Updated 6 months ago
- Optimizing Anytime Reasoning via Budget Relative Policy Optimization☆51Updated 5 months ago
- CPPO: Accelerating the Training of Group Relative Policy Optimization-Based Reasoning Models (NeurIPS 2025)☆171Updated 2 months ago
- ☆51Updated last year
- L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning☆257Updated 7 months ago
- SIFT: Grounding LLM Reasoning in Contexts via Stickers☆57Updated 10 months ago
- RM-R1: Unleashing the Reasoning Potential of Reward Models☆156Updated 6 months ago
- TreeRL: LLM Reinforcement Learning with On-Policy Tree Search in ACL'25☆86Updated 6 months ago
- xVerify: Efficient Answer Verifier for Reasoning Model Evaluations☆142Updated last month
- End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning☆348Updated 3 months ago
- Research Code for preprint "Optimizing Test-Time Compute via Meta Reinforcement Finetuning".☆114Updated 5 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 6 months ago
- Towards a Unified View of Large Language Model Post-Training☆199Updated 4 months ago
- ☆41Updated 4 months ago
- "what, how, where, and how well? a survey on test-time scaling in large language models" repository☆83Updated last week
- [EMNLP 2025] LightThinker: Thinking Step-by-Step Compression☆127Updated 8 months ago
- [ICML'25] Our study systematically investigates massive values in LLMs' attention mechanisms. First, we observe massive values are concen…☆85Updated 6 months ago