R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization
Paper
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2503.10615
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Published
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17
New Papers
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UniGoal: Towards Universal Zero-shot Goal-oriented Navigation
Paper • 2503.10630 • Published • 6 -
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Paper • 2503.09516 • Published • 30 -
LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL
Paper • 2503.07536 • Published • 86 -
Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning
Paper • 2503.07572 • Published • 44 -
SegAgent: Exploring Pixel Understanding Capabilities in MLLMs by Imitating Human Annotator Trajectories
Paper • 2503.08625 • Published • 26 -
OTTER: A Vision-Language-Action Model with Text-Aware Visual Feature Extraction
Paper • 2503.03734 • Published • 1 -
Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond
Paper • 2503.10460 • Published • 28 -
Embodied-Reasoner: Synergizing Visual Search, Reasoning, and Action for Embodied Interactive Tasks
Paper • 2503.21696 • Published • 22 -
ViLBench: A Suite for Vision-Language Process Reward Modeling
Paper • 2503.20271 • Published • 7 -
Gemini Robotics: Bringing AI into the Physical World
Paper • 2503.20020 • Published • 25 -
Qwen2.5-Omni Technical Report
Paper • 2503.20215 • Published • 150 -
Dita: Scaling Diffusion Transformer for Generalist Vision-Language-Action Policy
Paper • 2503.19757 • Published • 50 -
AppAgentX: Evolving GUI Agents as Proficient Smartphone Users
Paper • 2503.02268 • Published • 11 -
Unified Reward Model for Multimodal Understanding and Generation
Paper • 2503.05236 • Published • 123 -
R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning
Paper • 2503.05592 • Published • 27 -
VideoMind: A Chain-of-LoRA Agent for Long Video Reasoning
Paper • 2503.13444 • Published • 16 -
Vamba: Understanding Hour-Long Videos with Hybrid Mamba-Transformers
Paper • 2503.11579 • Published • 20 -
VisualPRM: An Effective Process Reward Model for Multimodal Reasoning
Paper • 2503.10291 • Published • 36 -
Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning
Paper • 2503.15558 • Published • 46 -
DeepPerception: Advancing R1-like Cognitive Visual Perception in MLLMs for Knowledge-Intensive Visual Grounding
Paper • 2503.12797 • Published • 30 -
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems
Paper • 2504.01990 • Published • 275 -
Chapter-Llama: Efficient Chaptering in Hour-Long Videos with LLMs
Paper • 2504.00072 • Published • 7 -
Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model
Paper • 2503.24290 • Published • 62 -
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Paper • 2503.01743 • Published • 87 -
VEM: Environment-Free Exploration for Training GUI Agent with Value Environment Model
Paper • 2502.18906 • Published • 12 -
Qwen2.5-VL Technical Report
Paper • 2502.13923 • Published • 186 -
Agentic Knowledgeable Self-awareness
Paper • 2504.03553 • Published • 28 -
Slow-Fast Architecture for Video Multi-Modal Large Language Models
Paper • 2504.01328 • Published • 8 -
Kimi-VL Technical Report
Paper • 2504.07491 • Published • 125 -
SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement
Paper • 2504.07934 • Published • 18 -
OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens
Paper • 2504.07096 • Published • 73 -
Caption Anything in Video: Fine-grained Object-centric Captioning via Spatiotemporal Multimodal Prompting
Paper • 2504.05541 • Published • 16 -
VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning
Paper • 2504.06958 • Published • 11 -
Efficient Reinforcement Finetuning via Adaptive Curriculum Learning
Paper • 2504.05520 • Published • 10 -
ShieldAgent: Shielding Agents via Verifiable Safety Policy Reasoning
Paper • 2503.22738 • Published • 16 -
APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay
Paper • 2504.03601 • Published • 16 -
SynWorld: Virtual Scenario Synthesis for Agentic Action Knowledge Refinement
Paper • 2504.03561 • Published • 18 -
Towards Trustworthy GUI Agents: A Survey
Paper • 2503.23434 • Published • 21 -
Sleep-time Compute: Beyond Inference Scaling at Test-time
Paper • 2504.13171 • Published • 15 -
BitNet b1.58 2B4T Technical Report
Paper • 2504.12285 • Published • 70 -
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
Paper • 2504.10479 • Published • 255 -
AgentRewardBench: Evaluating Automatic Evaluations of Web Agent Trajectories
Paper • 2504.08942 • Published • 27 -
TinyLLaVA-Video-R1: Towards Smaller LMMs for Video Reasoning
Paper • 2504.09641 • Published • 16 -
M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models
Paper • 2504.10449 • Published • 11 -
SpecReason: Fast and Accurate Inference-Time Compute via Speculative Reasoning
Paper • 2504.07891 • Published • 5 -
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
Paper • 2504.11536 • Published • 60 -
SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models
Paper • 2504.11468 • Published • 28 -
Skywork R1V2: Multimodal Hybrid Reinforcement Learning for Reasoning
Paper • 2504.16656 • Published • 54 -
Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning
Paper • 2504.17192 • Published • 106 -
Process Reward Models That Think
Paper • 2504.16828 • Published • 16 -
Describe Anything: Detailed Localized Image and Video Captioning
Paper • 2504.16072 • Published • 60 -
Progent: Programmable Privilege Control for LLM Agents
Paper • 2504.11703 • Published • 7 -
TTRL: Test-Time Reinforcement Learning
Paper • 2504.16084 • Published • 102 -
Learning to Reason under Off-Policy Guidance
Paper • 2504.14945 • Published • 80 -
ToolRL: Reward is All Tool Learning Needs
Paper • 2504.13958 • Published • 43 -
LearnAct: Few-Shot Mobile GUI Agent with a Unified Demonstration Benchmark
Paper • 2504.13805 • Published • 12