Agentic Reasoning for Large Language Models
Paper • 2601.12538 • Published • 202
Agentic
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From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence
Paper • 2511.18538 • Published • 303 -
Agent Learning via Early Experience
Paper • 2510.08558 • Published • 275 -
Weak-Driven Learning: How Weak Agents make Strong Agents Stronger
Paper • 2602.08222 • Published • 283 -
AOrchestra: Automating Sub-Agent Creation for Agentic Orchestration
Paper • 2602.03786 • Published • 89 -
SkillOrchestra: Learning to Route Agents via Skill Transfer
Paper • 2602.19672 • Published • 56 -
MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents
Paper • 2602.02474 • Published • 60 -
Youtu-Agent: Scaling Agent Productivity with Automated Generation and Hybrid Policy Optimization
Paper • 2512.24615 • Published • 119 -
MAXS: Meta-Adaptive Exploration with LLM Agents
Paper • 2601.09259 • Published • 96 -
SWE-Pruner: Self-Adaptive Context Pruning for Coding Agents
Paper • 2601.16746 • Published • 91 -
Toward Efficient Agents: Memory, Tool learning, and Planning
Paper • 2601.14192 • Published • 57 -
Memory in the Age of AI Agents
Paper • 2512.13564 • Published • 156 -
Adaptation of Agentic AI
Paper • 2512.16301 • Published • 108 -
QwenLong-L1.5: Post-Training Recipe for Long-Context Reasoning and Memory Management
Paper • 2512.12967 • Published • 109 -
MiroThinker-1.7 & H1: Towards Heavy-Duty Research Agents via Verification
Paper • 2603.15726 • Published • 165 -
OpenClaw-RL: Train Any Agent Simply by Talking
Paper • 2603.10165 • Published • 132 -
LMEB: Long-horizon Memory Embedding Benchmark
Paper • 2603.12572 • Published • 66