Flow-DPO: Improving LLM Mathematical Reasoning through Online Multi-Agent Learning
Paper
• 2410.22304 • Published
• 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
Paper • 2410.02052 • Published • 9 -
VinePPO: Unlocking RL Potential For LLM Reasoning Through Refined Credit Assignment
Paper • 2410.01679 • Published • 27 -
DOTS: Learning to Reason Dynamically in LLMs via Optimal Reasoning Trajectories Search
Paper • 2410.03864 • Published • 12 -
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
Paper • 2501.11425 • Published • 109 -
Towards General-Purpose Model-Free Reinforcement Learning
Paper • 2501.16142 • Published • 31 -
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 • 42 -
TTRL: Test-Time Reinforcement Learning
Paper • 2504.16084 • Published • 120 -
Toward Training Superintelligent Software Agents through Self-Play SWE-RL
Paper • 2512.18552 • Published • 2