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Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification
Paper • 2509.15591 • Published • 45 -
A Survey on Latent Reasoning
Paper • 2507.06203 • Published • 93 -
Quantized Evolution Strategies: High-precision Fine-tuning of Quantized LLMs at Low-precision Cost
Paper • 2602.03120 • Published • 1 -
TADA! Tuning Audio Diffusion Models through Activation Steering
Paper • 2602.11910 • Published • 2
Collections
Discover the best community collections!
Collections including paper arxiv:2510.26697
-
MADD: Multi-Agent Drug Discovery Orchestra
Paper • 2511.08217 • Published • 56 -
The Station: An Open-World Environment for AI-Driven Discovery
Paper • 2511.06309 • Published • 37 -
An AI system to help scientists write expert-level empirical software
Paper • 2509.06503 • Published • 6 -
The Era of Agentic Organization: Learning to Organize with Language Models
Paper • 2510.26658 • Published • 29
-
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 509 -
Cache-to-Cache: Direct Semantic Communication Between Large Language Models
Paper • 2510.03215 • Published • 98 -
When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMs
Paper • 2510.07499 • Published • 48 -
StreamingVLM: Real-Time Understanding for Infinite Video Streams
Paper • 2510.09608 • Published • 51
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Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations
Paper • 2508.09789 • Published • 5 -
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents
Paper • 2508.13186 • Published • 19 -
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents
Paper • 2508.04038 • Published • 1 -
Prompt Orchestration Markup Language
Paper • 2508.13948 • Published • 48
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lusxvr/nanoVLM-222M
Image-Text-to-Text • 0.2B • Updated • 468 • 98 -
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Paper • 2503.09516 • Published • 38 -
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time
Paper • 2505.24863 • Published • 97 -
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning
Paper • 2505.17667 • Published • 88
-
The Era of Agentic Organization: Learning to Organize with Language Models
Paper • 2510.26658 • Published • 29 -
Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning
Paper • 2510.25992 • Published • 48 -
The End of Manual Decoding: Towards Truly End-to-End Language Models
Paper • 2510.26697 • Published • 117
-
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 509 -
The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain
Paper • 2509.26507 • Published • 547 -
LightMem: Lightweight and Efficient Memory-Augmented Generation
Paper • 2510.18866 • Published • 114 -
The End of Manual Decoding: Towards Truly End-to-End Language Models
Paper • 2510.26697 • Published • 117
-
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 509 -
SpikingBrain Technical Report: Spiking Brain-inspired Large Models
Paper • 2509.05276 • Published • 4 -
Self-Adapting Language Models
Paper • 2506.10943 • Published • 7 -
The Art of Scaling Reinforcement Learning Compute for LLMs
Paper • 2510.13786 • Published • 32
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Treasure Hunt: Real-time Targeting of the Long Tail using Training-Time Markers
Paper • 2506.14702 • Published • 3 -
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention
Paper • 2506.13585 • Published • 273 -
Scaling Test-time Compute for LLM Agents
Paper • 2506.12928 • Published • 63 -
A Survey on Latent Reasoning
Paper • 2507.06203 • Published • 93
-
Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification
Paper • 2509.15591 • Published • 45 -
A Survey on Latent Reasoning
Paper • 2507.06203 • Published • 93 -
Quantized Evolution Strategies: High-precision Fine-tuning of Quantized LLMs at Low-precision Cost
Paper • 2602.03120 • Published • 1 -
TADA! Tuning Audio Diffusion Models through Activation Steering
Paper • 2602.11910 • Published • 2
-
lusxvr/nanoVLM-222M
Image-Text-to-Text • 0.2B • Updated • 468 • 98 -
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Paper • 2503.09516 • Published • 38 -
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time
Paper • 2505.24863 • Published • 97 -
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning
Paper • 2505.17667 • Published • 88
-
MADD: Multi-Agent Drug Discovery Orchestra
Paper • 2511.08217 • Published • 56 -
The Station: An Open-World Environment for AI-Driven Discovery
Paper • 2511.06309 • Published • 37 -
An AI system to help scientists write expert-level empirical software
Paper • 2509.06503 • Published • 6 -
The Era of Agentic Organization: Learning to Organize with Language Models
Paper • 2510.26658 • Published • 29
-
The Era of Agentic Organization: Learning to Organize with Language Models
Paper • 2510.26658 • Published • 29 -
Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning
Paper • 2510.25992 • Published • 48 -
The End of Manual Decoding: Towards Truly End-to-End Language Models
Paper • 2510.26697 • Published • 117
-
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 509 -
The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain
Paper • 2509.26507 • Published • 547 -
LightMem: Lightweight and Efficient Memory-Augmented Generation
Paper • 2510.18866 • Published • 114 -
The End of Manual Decoding: Towards Truly End-to-End Language Models
Paper • 2510.26697 • Published • 117
-
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 509 -
Cache-to-Cache: Direct Semantic Communication Between Large Language Models
Paper • 2510.03215 • Published • 98 -
When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMs
Paper • 2510.07499 • Published • 48 -
StreamingVLM: Real-Time Understanding for Infinite Video Streams
Paper • 2510.09608 • Published • 51
-
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 509 -
SpikingBrain Technical Report: Spiking Brain-inspired Large Models
Paper • 2509.05276 • Published • 4 -
Self-Adapting Language Models
Paper • 2506.10943 • Published • 7 -
The Art of Scaling Reinforcement Learning Compute for LLMs
Paper • 2510.13786 • Published • 32
-
Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations
Paper • 2508.09789 • Published • 5 -
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents
Paper • 2508.13186 • Published • 19 -
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents
Paper • 2508.04038 • Published • 1 -
Prompt Orchestration Markup Language
Paper • 2508.13948 • Published • 48
-
Treasure Hunt: Real-time Targeting of the Long Tail using Training-Time Markers
Paper • 2506.14702 • Published • 3 -
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention
Paper • 2506.13585 • Published • 273 -
Scaling Test-time Compute for LLM Agents
Paper • 2506.12928 • Published • 63 -
A Survey on Latent Reasoning
Paper • 2507.06203 • Published • 93