Collections
Discover the best community collections!
Collections including paper arxiv:2602.08990
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Imagine-then-Plan: Agent Learning from Adaptive Lookahead with World Models
Paper • 2601.08955 • Published • 13 -
EvoFSM: Controllable Self-Evolution for Deep Research with Finite State Machines
Paper • 2601.09465 • Published • 42 -
MAXS: Meta-Adaptive Exploration with LLM Agents
Paper • 2601.09259 • Published • 96 -
Toward Efficient Agents: Memory, Tool learning, and Planning
Paper • 2601.14192 • Published • 57
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BitNet: Scaling 1-bit Transformers for Large Language Models
Paper • 2310.11453 • Published • 107 -
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Paper • 2310.11511 • Published • 80 -
In-Context Learning Creates Task Vectors
Paper • 2310.15916 • Published • 43 -
Matryoshka Diffusion Models
Paper • 2310.15111 • Published • 45
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SWE-Universe: Scale Real-World Verifiable Environments to Millions
Paper • 2602.02361 • Published • 60 -
LongCodeZip: Compress Long Context for Code Language Models
Paper • 2510.00446 • Published • 108 -
Code2World: A GUI World Model via Renderable Code Generation
Paper • 2602.09856 • Published • 202 -
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Paper • 2601.11868 • Published • 35
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InternAgent-1.5: A Unified Agentic Framework for Long-Horizon Autonomous Scientific Discovery
Paper • 2602.08990 • Published • 77 -
InternScience/OmniCaptioner
8B • Updated • 7 • 18 -
InternScience/StructTable-base
Image-to-Text • 0.3B • Updated • 39 • 9 -
InternScience/MME-Reasoning
Preview • Updated • 171 • 8
-
SWE-Universe: Scale Real-World Verifiable Environments to Millions
Paper • 2602.02361 • Published • 60 -
LongCodeZip: Compress Long Context for Code Language Models
Paper • 2510.00446 • Published • 108 -
Code2World: A GUI World Model via Renderable Code Generation
Paper • 2602.09856 • Published • 202 -
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Paper • 2601.11868 • Published • 35
-
Imagine-then-Plan: Agent Learning from Adaptive Lookahead with World Models
Paper • 2601.08955 • Published • 13 -
EvoFSM: Controllable Self-Evolution for Deep Research with Finite State Machines
Paper • 2601.09465 • Published • 42 -
MAXS: Meta-Adaptive Exploration with LLM Agents
Paper • 2601.09259 • Published • 96 -
Toward Efficient Agents: Memory, Tool learning, and Planning
Paper • 2601.14192 • Published • 57
-
InternAgent-1.5: A Unified Agentic Framework for Long-Horizon Autonomous Scientific Discovery
Paper • 2602.08990 • Published • 77 -
InternScience/OmniCaptioner
8B • Updated • 7 • 18 -
InternScience/StructTable-base
Image-to-Text • 0.3B • Updated • 39 • 9 -
InternScience/MME-Reasoning
Preview • Updated • 171 • 8
-
BitNet: Scaling 1-bit Transformers for Large Language Models
Paper • 2310.11453 • Published • 107 -
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Paper • 2310.11511 • Published • 80 -
In-Context Learning Creates Task Vectors
Paper • 2310.15916 • Published • 43 -
Matryoshka Diffusion Models
Paper • 2310.15111 • Published • 45