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Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training
Paper • 2508.00414 • Published • 96 -
S2 Chunking: A Hybrid Framework for Document Segmentation Through Integrated Spatial and Semantic Analysis
Paper • 2501.05485 • Published • 1 -
MemGPT: Towards LLMs as Operating Systems
Paper • 2310.08560 • Published • 9 -
Cognitive Architectures for Language Agents
Paper • 2309.02427 • Published • 8
Collections
Discover the best community collections!
Collections including paper arxiv:2309.02427
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Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders
Paper • 2408.15998 • Published • 89 -
General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model
Paper • 2409.01704 • Published • 82 -
Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers
Paper • 2408.06195 • Published • 73 -
Self-Reflection in LLM Agents: Effects on Problem-Solving Performance
Paper • 2405.06682 • Published • 3
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JetMoE: Reaching Llama2 Performance with 0.1M Dollars
Paper • 2404.07413 • Published • 38 -
Allowing humans to interactively guide machines where to look does not always improve a human-AI team's classification accuracy
Paper • 2404.05238 • Published • 3 -
Cognitive Architectures for Language Agents
Paper • 2309.02427 • Published • 8 -
Latent Positional Information is in the Self-Attention Variance of Transformer Language Models Without Positional Embeddings
Paper • 2305.13571 • Published • 2
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Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training
Paper • 2508.00414 • Published • 96 -
S2 Chunking: A Hybrid Framework for Document Segmentation Through Integrated Spatial and Semantic Analysis
Paper • 2501.05485 • Published • 1 -
MemGPT: Towards LLMs as Operating Systems
Paper • 2310.08560 • Published • 9 -
Cognitive Architectures for Language Agents
Paper • 2309.02427 • Published • 8
-
Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders
Paper • 2408.15998 • Published • 89 -
General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model
Paper • 2409.01704 • Published • 82 -
Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers
Paper • 2408.06195 • Published • 73 -
Self-Reflection in LLM Agents: Effects on Problem-Solving Performance
Paper • 2405.06682 • Published • 3
-
JetMoE: Reaching Llama2 Performance with 0.1M Dollars
Paper • 2404.07413 • Published • 38 -
Allowing humans to interactively guide machines where to look does not always improve a human-AI team's classification accuracy
Paper • 2404.05238 • Published • 3 -
Cognitive Architectures for Language Agents
Paper • 2309.02427 • Published • 8 -
Latent Positional Information is in the Self-Attention Variance of Transformer Language Models Without Positional Embeddings
Paper • 2305.13571 • Published • 2