bobxwu / learning-from-rewards-llm-papersLinks
A comrephensive collection of learning from rewards in the post-training and test-time scaling of LLMs, with a focus on both reward models and learning strategies across training, inference, and post-inference stages.
☆62Updated 7 months ago
Alternatives and similar repositories for learning-from-rewards-llm-papers
Users that are interested in learning-from-rewards-llm-papers are comparing it to the libraries listed below
Sorting:
- RM-R1: Unleashing the Reasoning Potential of Reward Models☆156Updated 7 months ago
- [EMNLP 2025] WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning☆70Updated 3 months ago
- The official repo of "WebExplorer: Explore and Evolve for Training Long-Horizon Web Agents"☆100Updated 4 months ago
- Official code for paper "SPA-RL: Reinforcing LLM Agent via Stepwise Progress Attribution"☆62Updated 4 months ago
- [AAAI 2026] Official codebase for "GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning".☆95Updated 2 months ago
- ☆54Updated 10 months ago
- [ICLR 2026] Adaptive Thinking via Mode Policy Optimization for Social Language Agents☆47Updated 7 months ago
- [ICLR'24 spotlight] Tool-Augmented Reward Modeling☆53Updated 7 months ago
- [NeurIPS 2025] Implementation for the paper "The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning"☆157Updated 3 months ago
- ☆70Updated 7 months ago
- This the implementation of LeCo☆31Updated last year
- [ACL 2025] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLM…☆68Updated last year
- [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning☆120Updated 8 months ago
- [ACL'25] We propose a novel fine-tuning method, Separate Memory and Reasoning, which combines prompt tuning with LoRA.☆84Updated 3 months ago
- SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory Synthesis☆118Updated 8 months ago
- ☆51Updated last year
- IKEA: Reinforced Internal-External Knowledge Synergistic Reasoning for Efficient Adaptive Search Agent☆68Updated 8 months ago
- ☆43Updated 5 months ago
- Scaling Agentic Reinforcement Learning with a Multi-Turn, Multi-Task Framework☆205Updated 2 weeks ago
- TreeRL: LLM Reinforcement Learning with On-Policy Tree Search in ACL'25☆88Updated 7 months ago
- WideSearch: Benchmarking Agentic Broad Info-Seeking☆114Updated 3 months ago
- [EMNLP 2025] LightThinker: Thinking Step-by-Step Compression☆132Updated 9 months ago
- Revisiting Mid-training in the Era of Reinforcement Learning Scaling☆182Updated 6 months ago
- [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models☆65Updated last year
- [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.☆134Updated 10 months ago
- [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy☆77Updated 3 months ago
- ☆87Updated 5 months ago
- [ICML 2025] M-STAR (Multimodal Self-Evolving TrAining for Reasoning) Project. Diving into Self-Evolving Training for Multimodal Reasoning☆70Updated 6 months ago
- The official repo for "AceCoder: Acing Coder RL via Automated Test-Case Synthesis" [ACL25]☆95Updated 9 months ago
- Implementation for the research paper "Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision".☆55Updated last year