Flow-DPO: Improving LLM Mathematical Reasoning through Online Multi-Agent Learning
Paper
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2410.22304
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Published
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18
Self-Improving Agents
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OpenWebVoyager: Building Multimodal Web Agents via Iterative Real-World Exploration, Feedback and Optimization
Paper • 2410.19609 • Published • 18 -
Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation
Paper • 2411.00412 • Published • 10 -
Improving Autonomous AI Agents with Reflective Tree Search and Self-Learning
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VinePPO: Unlocking RL Potential For LLM Reasoning Through Refined Credit Assignment
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DOTS: Learning to Reason Dynamically in LLMs via Optimal Reasoning Trajectories Search
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AFlow: Automating Agentic Workflow Generation
Paper • 2410.10762 • Published • 1 -
Boundless Socratic Learning with Language Games
Paper • 2411.16905 • Published • 2 -
Enabling Scalable Oversight via Self-Evolving Critic
Paper • 2501.05727 • Published • 72 -
Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains
Paper • 2501.05707 • Published • 20 -
Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training
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Towards General-Purpose Model-Free Reinforcement Learning
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AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs
Paper • 2508.16153 • Published • 160 -
SIM-CoT: Supervised Implicit Chain-of-Thought
Paper • 2509.20317 • Published • 41 -
TTRL: Test-Time Reinforcement Learning
Paper • 2504.16084 • Published • 120 -
Toward Training Superintelligent Software Agents through Self-Play SWE-RL
Paper • 2512.18552 • Published • 1