Collection by 
Jun 30, 2025
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Discover the best community collections!
Collections including paper arxiv:2506.12928
Collection by 
Sep 17, 2025
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Scaling Test-time Compute for LLM Agents
Paper • 2506.12928 • Published • 63 -
AgentsNet: Coordination and Collaborative Reasoning in Multi-Agent LLMs
Paper • 2507.08616 • Published • 15 -
ChemDFM-R: An Chemical Reasoner LLM Enhanced with Atomized Chemical Knowledge
Paper • 2507.21990 • Published • 27 -
DuPO: Enabling Reliable LLM Self-Verification via Dual Preference Optimization
Paper • 2508.14460 • Published • 85
Collection by 
Jun 20, 2025
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Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities
Paper • 2505.02567 • Published • 80 -
TabSTAR: A Foundation Tabular Model With Semantically Target-Aware Representations
Paper • 2505.18125 • Published • 112 -
Distilling LLM Agent into Small Models with Retrieval and Code Tools
Paper • 2505.17612 • Published • 81 -
One RL to See Them All: Visual Triple Unified Reinforcement Learning
Paper • 2505.18129 • Published • 62
Collection by 
Jan 16
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Scaling Laws for Native Multimodal Models Scaling Laws for Native Multimodal Models
Paper • 2504.07951 • Published • 30 -
Have we unified image generation and understanding yet? An empirical study of GPT-4o's image generation ability
Paper • 2504.08003 • Published • 49 -
SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models
Paper • 2504.11468 • Published • 30 -
Towards Learning to Complete Anything in Lidar
Paper • 2504.12264 • Published • 9
Collection by 
Jun 26, 2025
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Phi-4 Technical Report
Paper • 2412.08905 • Published • 122 -
Evaluating and Aligning CodeLLMs on Human Preference
Paper • 2412.05210 • Published • 50 -
Evaluating Language Models as Synthetic Data Generators
Paper • 2412.03679 • Published • 47 -
Yi-Lightning Technical Report
Paper • 2412.01253 • Published • 28
Collection by 
9 days ago
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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
Collection by 
about 5 hours ago
-
lusxvr/nanoVLM-222M
Image-Text-to-Text • 0.2B • Updated • 106 • 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
Collection by 
Jun 28, 2025
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CoRAG: Collaborative Retrieval-Augmented Generation
Paper • 2504.01883 • Published • 9 -
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning
Paper • 2504.08837 • Published • 43 -
Mavors: Multi-granularity Video Representation for Multimodal Large Language Model
Paper • 2504.10068 • Published • 30 -
xVerify: Efficient Answer Verifier for Reasoning Model Evaluations
Paper • 2504.10481 • Published • 85
Collection by 
Dec 9, 2025
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Scaling LLM Inference with Optimized Sample Compute Allocation
Paper • 2410.22480 • Published -
Test-time Computing: from System-1 Thinking to System-2 Thinking
Paper • 2501.02497 • Published • 45 -
Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective
Paper • 2412.14135 • Published -
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though
Paper • 2501.04682 • Published • 99
Collection by Dec 11, 2025
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Agents Thinking Fast and Slow: A Talker-Reasoner Architecture
Paper • 2410.08328 • Published -
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks
Paper • 2305.17390 • Published • 4 -
SRMT: Shared Memory for Multi-agent Lifelong Pathfinding
Paper • 2501.13200 • Published • 69 -
Talk Structurally, Act Hierarchically: A Collaborative Framework for LLM Multi-Agent Systems
Paper • 2502.11098 • Published • 13
Collection by Jun 30, 2025
Collection by 9 days ago
-
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
Collection by Sep 17, 2025
-
Scaling Test-time Compute for LLM Agents
Paper • 2506.12928 • Published • 63 -
AgentsNet: Coordination and Collaborative Reasoning in Multi-Agent LLMs
Paper • 2507.08616 • Published • 15 -
ChemDFM-R: An Chemical Reasoner LLM Enhanced with Atomized Chemical Knowledge
Paper • 2507.21990 • Published • 27 -
DuPO: Enabling Reliable LLM Self-Verification via Dual Preference Optimization
Paper • 2508.14460 • Published • 85
Collection by about 5 hours ago
-
lusxvr/nanoVLM-222M
Image-Text-to-Text • 0.2B • Updated • 106 • 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
Collection by Jun 20, 2025
-
Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities
Paper • 2505.02567 • Published • 80 -
TabSTAR: A Foundation Tabular Model With Semantically Target-Aware Representations
Paper • 2505.18125 • Published • 112 -
Distilling LLM Agent into Small Models with Retrieval and Code Tools
Paper • 2505.17612 • Published • 81 -
One RL to See Them All: Visual Triple Unified Reinforcement Learning
Paper • 2505.18129 • Published • 62
Collection by Jun 28, 2025
-
CoRAG: Collaborative Retrieval-Augmented Generation
Paper • 2504.01883 • Published • 9 -
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning
Paper • 2504.08837 • Published • 43 -
Mavors: Multi-granularity Video Representation for Multimodal Large Language Model
Paper • 2504.10068 • Published • 30 -
xVerify: Efficient Answer Verifier for Reasoning Model Evaluations
Paper • 2504.10481 • Published • 85
Collection by Jan 16
-
Scaling Laws for Native Multimodal Models Scaling Laws for Native Multimodal Models
Paper • 2504.07951 • Published • 30 -
Have we unified image generation and understanding yet? An empirical study of GPT-4o's image generation ability
Paper • 2504.08003 • Published • 49 -
SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models
Paper • 2504.11468 • Published • 30 -
Towards Learning to Complete Anything in Lidar
Paper • 2504.12264 • Published • 9
Collection by Dec 9, 2025
-
Scaling LLM Inference with Optimized Sample Compute Allocation
Paper • 2410.22480 • Published -
Test-time Computing: from System-1 Thinking to System-2 Thinking
Paper • 2501.02497 • Published • 45 -
Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective
Paper • 2412.14135 • Published -
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though
Paper • 2501.04682 • Published • 99
Collection by Jun 26, 2025
-
Phi-4 Technical Report
Paper • 2412.08905 • Published • 122 -
Evaluating and Aligning CodeLLMs on Human Preference
Paper • 2412.05210 • Published • 50 -
Evaluating Language Models as Synthetic Data Generators
Paper • 2412.03679 • Published • 47 -
Yi-Lightning Technical Report
Paper • 2412.01253 • Published • 28
Collection by Dec 11, 2025
-
Agents Thinking Fast and Slow: A Talker-Reasoner Architecture
Paper • 2410.08328 • Published -
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks
Paper • 2305.17390 • Published • 4 -
SRMT: Shared Memory for Multi-agent Lifelong Pathfinding
Paper • 2501.13200 • Published • 69 -
Talk Structurally, Act Hierarchically: A Collaborative Framework for LLM Multi-Agent Systems
Paper • 2502.11098 • Published • 13