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InfiR : Crafting Effective Small Language Models and Multimodal Small Language Models in Reasoning
Paper • 2502.11573 • Published • 9 -
Boosting Multimodal Reasoning with MCTS-Automated Structured Thinking
Paper • 2502.02339 • Published • 23 -
video-SALMONN-o1: Reasoning-enhanced Audio-visual Large Language Model
Paper • 2502.11775 • Published • 9 -
Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search
Paper • 2412.18319 • Published • 39
Collections
Discover the best community collections!
Collections including paper arxiv:2508.21113
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Parallel-R1: Towards Parallel Thinking via Reinforcement Learning
Paper • 2509.07980 • Published • 103 -
ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute
Paper • 2509.04475 • Published • 3 -
Don't Overthink it. Preferring Shorter Thinking Chains for Improved LLM Reasoning
Paper • 2505.17813 • Published • 58 -
Deep Think with Confidence
Paper • 2508.15260 • Published • 90
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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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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 23 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 85 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
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Visual Representation Alignment for Multimodal Large Language Models
Paper • 2509.07979 • Published • 84 -
Parallel-R1: Towards Parallel Thinking via Reinforcement Learning
Paper • 2509.07980 • Published • 103 -
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth
Paper • 2509.03867 • Published • 211 -
Why Language Models Hallucinate
Paper • 2509.04664 • Published • 196
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R-4B: Incentivizing General-Purpose Auto-Thinking Capability in MLLMs via Bi-Mode Annealing and Reinforce Learning
Paper • 2508.21113 • Published • 110 -
Breaking the Exploration Bottleneck: Rubric-Scaffolded Reinforcement Learning for General LLM Reasoning
Paper • 2508.16949 • Published • 24 -
EmbodiedOneVision: Interleaved Vision-Text-Action Pretraining for General Robot Control
Paper • 2508.21112 • Published • 77 -
UItron: Foundational GUI Agent with Advanced Perception and Planning
Paper • 2508.21767 • Published • 12
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Agentic Reinforced Policy Optimization
Paper • 2507.19849 • Published • 158 -
Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance
Paper • 2507.22448 • Published • 70 -
InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
Paper • 2508.18265 • Published • 212 -
R-4B: Incentivizing General-Purpose Auto-Thinking Capability in MLLMs via Bi-Mode Annealing and Reinforce Learning
Paper • 2508.21113 • Published • 110
-
InfiR : Crafting Effective Small Language Models and Multimodal Small Language Models in Reasoning
Paper • 2502.11573 • Published • 9 -
Boosting Multimodal Reasoning with MCTS-Automated Structured Thinking
Paper • 2502.02339 • Published • 23 -
video-SALMONN-o1: Reasoning-enhanced Audio-visual Large Language Model
Paper • 2502.11775 • Published • 9 -
Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search
Paper • 2412.18319 • Published • 39
-
Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 23 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 85 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
-
Parallel-R1: Towards Parallel Thinking via Reinforcement Learning
Paper • 2509.07980 • Published • 103 -
ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute
Paper • 2509.04475 • Published • 3 -
Don't Overthink it. Preferring Shorter Thinking Chains for Improved LLM Reasoning
Paper • 2505.17813 • Published • 58 -
Deep Think with Confidence
Paper • 2508.15260 • Published • 90
-
Visual Representation Alignment for Multimodal Large Language Models
Paper • 2509.07979 • Published • 84 -
Parallel-R1: Towards Parallel Thinking via Reinforcement Learning
Paper • 2509.07980 • Published • 103 -
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth
Paper • 2509.03867 • Published • 211 -
Why Language Models Hallucinate
Paper • 2509.04664 • Published • 196
-
R-4B: Incentivizing General-Purpose Auto-Thinking Capability in MLLMs via Bi-Mode Annealing and Reinforce Learning
Paper • 2508.21113 • Published • 110 -
Breaking the Exploration Bottleneck: Rubric-Scaffolded Reinforcement Learning for General LLM Reasoning
Paper • 2508.16949 • Published • 24 -
EmbodiedOneVision: Interleaved Vision-Text-Action Pretraining for General Robot Control
Paper • 2508.21112 • Published • 77 -
UItron: Foundational GUI Agent with Advanced Perception and Planning
Paper • 2508.21767 • Published • 12
-
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
-
Agentic Reinforced Policy Optimization
Paper • 2507.19849 • Published • 158 -
Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance
Paper • 2507.22448 • Published • 70 -
InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
Paper • 2508.18265 • Published • 212 -
R-4B: Incentivizing General-Purpose Auto-Thinking Capability in MLLMs via Bi-Mode Annealing and Reinforce Learning
Paper • 2508.21113 • Published • 110