Reinforcement Pre-Training
Paper
• 2506.08007 • Published
• 263
papers
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Confidence Is All You Need: Few-Shot RL Fine-Tuning of Language Models
Paper • 2506.06395 • Published • 133 -
Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
Paper • 2506.05176 • Published • 79 -
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning
Paper • 2505.24726 • Published • 277 -
GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents
Paper • 2506.03143 • Published • 53 -
Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning
Paper • 2506.01939 • Published • 188 -
SRPO: Enhancing Multimodal LLM Reasoning via Reflection-Aware Reinforcement Learning
Paper • 2506.01713 • Published • 48 -
Large Language Models for Data Synthesis
Paper • 2505.14752 • Published • 49 -
ZeroGUI: Automating Online GUI Learning at Zero Human Cost
Paper • 2505.23762 • Published • 45 -
The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models
Paper • 2505.22617 • Published • 131 -
Unsupervised Post-Training for Multi-Modal LLM Reasoning via GRPO
Paper • 2505.22453 • Published • 46 -
UI-Genie: A Self-Improving Approach for Iteratively Boosting MLLM-based Mobile GUI Agents
Paper • 2505.21496 • Published • 38 -
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning
Paper • 2505.17667 • Published • 88 -
Synthetic Data RL: Task Definition Is All You Need
Paper • 2505.17063 • Published • 11 -
Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning
Paper • 2505.16410 • Published • 58 -
WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning
Paper • 2505.16421 • Published • 19 -
Web-Shepherd: Advancing PRMs for Reinforcing Web Agents
Paper • 2505.15277 • Published • 105 -
Efficient Agent Training for Computer Use
Paper • 2505.13909 • Published • 44 -
MMSearch-R1: Incentivizing LMMs to Search
Paper • 2506.20670 • Published • 64 -
A Survey of Context Engineering for Large Language Models
Paper • 2507.13334 • Published • 261 -
GUI-G^2: Gaussian Reward Modeling for GUI Grounding
Paper • 2507.15846 • Published • 133 -
Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs
Paper • 2507.09477 • Published • 88 -
VeriGUI: Verifiable Long-Chain GUI Dataset
Paper • 2508.04026 • Published • 162 -
Phi-Ground Tech Report: Advancing Perception in GUI Grounding
Paper • 2507.23779 • Published • 45 -
SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience
Paper • 2508.04700 • Published • 52 -
A Survey of Self-Evolving Agents: On Path to Artificial Super Intelligence
Paper • 2507.21046 • Published • 84 -
Web-CogReasoner: Towards Knowledge-Induced Cognitive Reasoning for Web Agents
Paper • 2508.01858 • Published • 20 -
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
Paper • 2508.07407 • Published • 98 -
OpenCUA: Open Foundations for Computer-Use Agents
Paper • 2508.09123 • Published • 32 -
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Paper • 2509.02544 • Published • 125 -
Why Language Models Hallucinate
Paper • 2509.04664 • Published • 196 -
Sharing is Caring: Efficient LM Post-Training with Collective RL Experience Sharing
Paper • 2509.08721 • Published • 662 -
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 509 -
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper • 2509.02547 • Published • 233