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Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level
Paper • 2411.03562 • Published • 69 -
Training Language Models for Social Deduction with Multi-Agent Reinforcement Learning
Paper • 2502.06060 • Published • 38 -
MLGym: A New Framework and Benchmark for Advancing AI Research Agents
Paper • 2502.14499 • Published • 195 -
SurveyX: Academic Survey Automation via Large Language Models
Paper • 2502.14776 • Published • 100
Collections
Discover the best community collections!
Collections including paper arxiv:2506.12928
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Scaling Test-time Compute for LLM Agents
Paper • 2506.12928 • Published • 64 -
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 • 86
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Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities
Paper • 2505.02567 • Published • 82 -
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
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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
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AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning
Paper • 2402.15506 • Published • 18 -
AutoWebGLM: Bootstrap And Reinforce A Large Language Model-based Web Navigating Agent
Paper • 2404.03648 • Published • 29 -
Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts
Paper • 2405.19893 • Published • 34 -
Parrot: Efficient Serving of LLM-based Applications with Semantic Variable
Paper • 2405.19888 • Published • 7
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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 • 275 -
Scaling Test-time Compute for LLM Agents
Paper • 2506.12928 • Published • 64 -
A Survey on Latent Reasoning
Paper • 2507.06203 • Published • 94
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lusxvr/nanoVLM-222M
Image-Text-to-Text • 0.2B • Updated • 269 • 99 -
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Paper • 2503.09516 • Published • 39 -
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
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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 • 44 -
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
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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
-
Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level
Paper • 2411.03562 • Published • 69 -
Training Language Models for Social Deduction with Multi-Agent Reinforcement Learning
Paper • 2502.06060 • Published • 38 -
MLGym: A New Framework and Benchmark for Advancing AI Research Agents
Paper • 2502.14499 • Published • 195 -
SurveyX: Academic Survey Automation via Large Language Models
Paper • 2502.14776 • Published • 100
-
AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning
Paper • 2402.15506 • Published • 18 -
AutoWebGLM: Bootstrap And Reinforce A Large Language Model-based Web Navigating Agent
Paper • 2404.03648 • Published • 29 -
Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts
Paper • 2405.19893 • Published • 34 -
Parrot: Efficient Serving of LLM-based Applications with Semantic Variable
Paper • 2405.19888 • Published • 7
-
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 • 275 -
Scaling Test-time Compute for LLM Agents
Paper • 2506.12928 • Published • 64 -
A Survey on Latent Reasoning
Paper • 2507.06203 • Published • 94
-
Scaling Test-time Compute for LLM Agents
Paper • 2506.12928 • Published • 64 -
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 • 86
-
lusxvr/nanoVLM-222M
Image-Text-to-Text • 0.2B • Updated • 269 • 99 -
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Paper • 2503.09516 • Published • 39 -
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
-
Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities
Paper • 2505.02567 • Published • 82 -
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
-
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 • 44 -
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
-
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
-
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