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Collections including paper arxiv:2510.26697

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8, 2025 • 189 • 98
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12, 2025 • 36
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30, 2025 • 97
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23, 2025 • 88

MADD: Multi-Agent Drug Discovery Orchestra

Paper • 2511.08217 • Published Nov 11, 2025 • 55
The Station: An Open-World Environment for AI-Driven Discovery

Paper • 2511.06309 • Published Nov 9, 2025 • 36
An AI system to help scientists write expert-level empirical software

Paper • 2509.06503 • Published Sep 8, 2025 • 6
The Era of Agentic Organization: Learning to Organize with Language Models

Paper • 2510.26658 • Published Oct 30, 2025 • 27

Chat with truly end-to-end LLMs with AutoDeco heads

zacks917/AutoDeco-Llama-Nemotron-8B

Updated Nov 4, 2025 • 10
zacks917/AutoDeco-R1-Distill-Qwen-7B

1.84M • Updated Nov 4, 2025 • 12 • 1
zacks917/AutoDeco-Qwen3-30B-A3B-Instruct-2507

1.05M • Updated Nov 4, 2025 • 12 • 1
zacks917/AutoDeco-Qwen3-235B-A22B-Thinking-2507

Updated Nov 4, 2025 • 6

Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6, 2025 • 501
Cache-to-Cache: Direct Semantic Communication Between Large Language Models

Paper • 2510.03215 • Published Oct 3, 2025 • 97
When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMs

Paper • 2510.07499 • Published Oct 8, 2025 • 48
StreamingVLM: Real-Time Understanding for Infinite Video Streams

Paper • 2510.09608 • Published Oct 10, 2025 • 50

Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations

Paper • 2508.09789 • Published Aug 13, 2025 • 5
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents

Paper • 2508.13186 • Published Aug 14, 2025 • 19
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents

Paper • 2508.04038 • Published Aug 6, 2025 • 1
Prompt Orchestration Markup Language

Paper • 2508.13948 • Published Aug 19, 2025 • 48

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

The Era of Agentic Organization: Learning to Organize with Language Models

Paper • 2510.26658 • Published Oct 30, 2025 • 27
Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning

Paper • 2510.25992 • Published Oct 29, 2025 • 45
The End of Manual Decoding: Towards Truly End-to-End Language Models

Paper • 2510.26697 • Published Oct 30, 2025 • 116

Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6, 2025 • 501
The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain

Paper • 2509.26507 • Published Sep 30, 2025 • 538
LightMem: Lightweight and Efficient Memory-Augmented Generation

Paper • 2510.18866 • Published Oct 21, 2025 • 111
The End of Manual Decoding: Towards Truly End-to-End Language Models

Paper • 2510.26697 • Published Oct 30, 2025 • 116

Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6, 2025 • 501
SpikingBrain Technical Report: Spiking Brain-inspired Large Models

Paper • 2509.05276 • Published Sep 5, 2025 • 4
Self-Adapting Language Models

Paper • 2506.10943 • Published Jun 12, 2025 • 7
The Art of Scaling Reinforcement Learning Compute for LLMs

Paper • 2510.13786 • Published Oct 15, 2025 • 31

Large Language Models

Treasure Hunt: Real-time Targeting of the Long Tail using Training-Time Markers

Paper • 2506.14702 • Published Jun 17, 2025 • 3
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

Paper • 2506.13585 • Published Jun 16, 2025 • 273
Scaling Test-time Compute for LLM Agents

Paper • 2506.12928 • Published Jun 15, 2025 • 63
A Survey on Latent Reasoning

Paper • 2507.06203 • Published Jul 8, 2025 • 93

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8, 2025 • 189 • 98
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12, 2025 • 36
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30, 2025 • 97
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23, 2025 • 88

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

MADD: Multi-Agent Drug Discovery Orchestra

Paper • 2511.08217 • Published Nov 11, 2025 • 55
The Station: An Open-World Environment for AI-Driven Discovery

Paper • 2511.06309 • Published Nov 9, 2025 • 36
An AI system to help scientists write expert-level empirical software

Paper • 2509.06503 • Published Sep 8, 2025 • 6
The Era of Agentic Organization: Learning to Organize with Language Models

Paper • 2510.26658 • Published Oct 30, 2025 • 27

The Era of Agentic Organization: Learning to Organize with Language Models

Paper • 2510.26658 • Published Oct 30, 2025 • 27
Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning

Paper • 2510.25992 • Published Oct 29, 2025 • 45
The End of Manual Decoding: Towards Truly End-to-End Language Models

Paper • 2510.26697 • Published Oct 30, 2025 • 116

Chat with truly end-to-end LLMs with AutoDeco heads

zacks917/AutoDeco-Llama-Nemotron-8B

Updated Nov 4, 2025 • 10
zacks917/AutoDeco-R1-Distill-Qwen-7B

1.84M • Updated Nov 4, 2025 • 12 • 1
zacks917/AutoDeco-Qwen3-30B-A3B-Instruct-2507

1.05M • Updated Nov 4, 2025 • 12 • 1
zacks917/AutoDeco-Qwen3-235B-A22B-Thinking-2507

Updated Nov 4, 2025 • 6

Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6, 2025 • 501
The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain

Paper • 2509.26507 • Published Sep 30, 2025 • 538
LightMem: Lightweight and Efficient Memory-Augmented Generation

Paper • 2510.18866 • Published Oct 21, 2025 • 111
The End of Manual Decoding: Towards Truly End-to-End Language Models

Paper • 2510.26697 • Published Oct 30, 2025 • 116

Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6, 2025 • 501
Cache-to-Cache: Direct Semantic Communication Between Large Language Models

Paper • 2510.03215 • Published Oct 3, 2025 • 97
When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMs

Paper • 2510.07499 • Published Oct 8, 2025 • 48
StreamingVLM: Real-Time Understanding for Infinite Video Streams

Paper • 2510.09608 • Published Oct 10, 2025 • 50

Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6, 2025 • 501
SpikingBrain Technical Report: Spiking Brain-inspired Large Models

Paper • 2509.05276 • Published Sep 5, 2025 • 4
Self-Adapting Language Models

Paper • 2506.10943 • Published Jun 12, 2025 • 7
The Art of Scaling Reinforcement Learning Compute for LLMs

Paper • 2510.13786 • Published Oct 15, 2025 • 31

Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations

Paper • 2508.09789 • Published Aug 13, 2025 • 5
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents

Paper • 2508.13186 • Published Aug 14, 2025 • 19
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents

Paper • 2508.04038 • Published Aug 6, 2025 • 1
Prompt Orchestration Markup Language

Paper • 2508.13948 • Published Aug 19, 2025 • 48

Large Language Models

Treasure Hunt: Real-time Targeting of the Long Tail using Training-Time Markers

Paper • 2506.14702 • Published Jun 17, 2025 • 3
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

Paper • 2506.13585 • Published Jun 16, 2025 • 273
Scaling Test-time Compute for LLM Agents

Paper • 2506.12928 • Published Jun 15, 2025 • 63
A Survey on Latent Reasoning

Paper • 2507.06203 • Published Jul 8, 2025 • 93

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