Imagine-then-Plan: Agent Learning from Adaptive Lookahead with World Models
Paper
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2601.08955
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Published
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13
Agents
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EvoFSM: Controllable Self-Evolution for Deep Research with Finite State Machines
Paper • 2601.09465 • Published • 41 -
MAXS: Meta-Adaptive Exploration with LLM Agents
Paper • 2601.09259 • Published • 95 -
Toward Efficient Agents: Memory, Tool learning, and Planning
Paper • 2601.14192 • Published • 54 -
Towards Automated Kernel Generation in the Era of LLMs
Paper • 2601.15727 • Published • 18 -
LLM-in-Sandbox Elicits General Agentic Intelligence
Paper • 2601.16206 • Published • 84 -
LongCat-Flash-Thinking-2601 Technical Report
Paper • 2601.16725 • Published • 175 -
Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification
Paper • 2601.15808 • Published • 20 -
DRPG (Decompose, Retrieve, Plan, Generate): An Agentic Framework for Academic Rebuttal
Paper • 2601.18081 • Published • 7 -
SERA: Soft-Verified Efficient Repository Agents
Paper • 2601.20789 • Published • 11 -
SWE-Universe: Scale Real-World Verifiable Environments to Millions
Paper • 2602.02361 • Published • 60 -
InternAgent-1.5: A Unified Agentic Framework for Long-Horizon Autonomous Scientific Discovery
Paper • 2602.08990 • Published • 68 -
Agent Skills: A Data-Driven Analysis of Claude Skills for Extending Large Language Model Functionality
Paper • 2602.08004 • Published • 3