R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization
Paper
• 2503.10615 • Published
• 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 • 38 -
LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL
Paper • 2503.07536 • Published • 88 -
Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning
Paper • 2503.07572 • Published • 48 -
SegAgent: Exploring Pixel Understanding Capabilities in MLLMs by Imitating Human Annotator Trajectories
Paper • 2503.08625 • Published • 27 -
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 • 30 -
Embodied-Reasoner: Synergizing Visual Search, Reasoning, and Action for Embodied Interactive Tasks
Paper • 2503.21696 • Published • 23 -
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 • 31 -
Qwen2.5-Omni Technical Report
Paper • 2503.20215 • Published • 170 -
Dita: Scaling Diffusion Transformer for Generalist Vision-Language-Action Policy
Paper • 2503.19757 • Published • 51 -
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 • 17 -
Vamba: Understanding Hour-Long Videos with Hybrid Mamba-Transformers
Paper • 2503.11579 • Published • 21 -
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 • 50 -
DeepPerception: Advancing R1-like Cognitive Visual Perception in MLLMs for Knowledge-Intensive Visual Grounding
Paper • 2503.12797 • Published • 32 -
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems
Paper • 2504.01990 • Published • 303 -
Chapter-Llama: Efficient Chaptering in Hour-Long Videos with LLMs
Paper • 2504.00072 • Published • 6 -
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 • 89 -
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 • 214 -
Agentic Knowledgeable Self-awareness
Paper • 2504.03553 • Published • 27 -
Slow-Fast Architecture for Video Multi-Modal Large Language Models
Paper • 2504.01328 • Published • 7 -
Kimi-VL Technical Report
Paper • 2504.07491 • Published • 137 -
SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement
Paper • 2504.07934 • Published • 21 -
OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens
Paper • 2504.07096 • Published • 77 -
Caption Anything in Video: Fine-grained Object-centric Captioning via Spatiotemporal Multimodal Prompting
Paper • 2504.05541 • Published • 15 -
VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning
Paper • 2504.06958 • Published • 13 -
Efficient Reinforcement Finetuning via Adaptive Curriculum Learning
Paper • 2504.05520 • Published • 11 -
ShieldAgent: Shielding Agents via Verifiable Safety Policy Reasoning
Paper • 2503.22738 • Published • 17 -
APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay
Paper • 2504.03601 • Published • 17 -
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 • 83 -
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
Paper • 2504.10479 • Published • 306 -
AgentRewardBench: Evaluating Automatic Evaluations of Web Agent Trajectories
Paper • 2504.08942 • Published • 28 -
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 • 15 -
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 • 63 -
SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models
Paper • 2504.11468 • Published • 30 -
Skywork R1V2: Multimodal Hybrid Reinforcement Learning for Reasoning
Paper • 2504.16656 • Published • 57 -
Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning
Paper • 2504.17192 • Published • 123 -
Process Reward Models That Think
Paper • 2504.16828 • Published • 18 -
Describe Anything: Detailed Localized Image and Video Captioning
Paper • 2504.16072 • Published • 64 -
Progent: Programmable Privilege Control for LLM Agents
Paper • 2504.11703 • Published • 6 -
TTRL: Test-Time Reinforcement Learning
Paper • 2504.16084 • Published • 120 -
Learning to Reason under Off-Policy Guidance
Paper • 2504.14945 • Published • 88 -
ToolRL: Reward is All Tool Learning Needs
Paper • 2504.13958 • Published • 49 -
LearnAct: Few-Shot Mobile GUI Agent with a Unified Demonstration Benchmark
Paper • 2504.13805 • Published • 11 -
AM-Thinking-v1: Advancing the Frontier of Reasoning at 32B Scale
Paper • 2505.08311 • Published • 19 -
Skywork-VL Reward: An Effective Reward Model for Multimodal Understanding and Reasoning
Paper • 2505.07263 • Published • 30 -
StreamBridge: Turning Your Offline Video Large Language Model into a Proactive Streaming Assistant
Paper • 2505.05467 • Published • 13 -
Visual Planning: Let's Think Only with Images
Paper • 2505.11409 • Published • 57 -
Scaling Computer-Use Grounding via User Interface Decomposition and Synthesis
Paper • 2505.13227 • Published • 45 -
Efficient Agent Training for Computer Use
Paper • 2505.13909 • Published • 44 -
One RL to See Them All: Visual Triple Unified Reinforcement Learning
Paper • 2505.18129 • Published • 62 -
Trinity-RFT: A General-Purpose and Unified Framework for Reinforcement Fine-Tuning of Large Language Models
Paper • 2505.17826 • Published • 10 -
Interactive Post-Training for Vision-Language-Action Models
Paper • 2505.17016 • Published • 6 -
ARM: Adaptive Reasoning Model
Paper • 2505.20258 • Published • 45 -
Visual Embodied Brain: Let Multimodal Large Language Models See, Think, and Control in Spaces
Paper • 2506.00123 • Published • 35 -
ZeroGUI: Automating Online GUI Learning at Zero Human Cost
Paper • 2505.23762 • Published • 45 -
Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding
Paper • 2505.22618 • Published • 45 -
SWE-bench Goes Live!
Paper • 2505.23419 • Published • 21 -
ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models
Paper • 2505.24864 • Published • 144 -
ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL
Paper • 2505.24875 • Published • 10 -
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning
Paper • 2505.24726 • Published • 277 -
WebSailor: Navigating Super-human Reasoning for Web Agent
Paper • 2507.02592 • Published • 124 -
MemOS: A Memory OS for AI System
Paper • 2507.03724 • Published • 159 -
RoboBrain 2.0 Technical Report
Paper • 2507.02029 • Published • 35 -
DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents
Paper • 2506.11763 • Published • 74 -
AbstentionBench: Reasoning LLMs Fail on Unanswerable Questions
Paper • 2506.09038 • Published • 6 -
GTA1: GUI Test-time Scaling Agent
Paper • 2507.05791 • Published • 27 -
Budget-Aware Tool-Use Enables Effective Agent Scaling
Paper • 2511.17006 • Published • 33 -
Multi-Agent Deep Research: Training Multi-Agent Systems with M-GRPO
Paper • 2511.13288 • Published • 19 -
EvoVLA: Self-Evolving Vision-Language-Action Model
Paper • 2511.16166 • Published • 6 -
WMPO: World Model-based Policy Optimization for Vision-Language-Action Models
Paper • 2511.09515 • Published • 20 -
TiDAR: Think in Diffusion, Talk in Autoregression
Paper • 2511.08923 • Published • 128 -
Robot Learning from a Physical World Model
Paper • 2511.07416 • Published • 32 -
Long Grounded Thoughts: Distilling Compositional Visual Reasoning Chains at Scale
Paper • 2511.05705 • Published • 8 -
Real-Time Reasoning Agents in Evolving Environments
Paper • 2511.04898 • Published • 13 -
VCode: a Multimodal Coding Benchmark with SVG as Symbolic Visual Representation
Paper • 2511.02778 • Published • 102 -
World Simulation with Video Foundation Models for Physical AI
Paper • 2511.00062 • Published • 44 -
Can Agent Conquer Web? Exploring the Frontiers of ChatGPT Atlas Agent in Web Games
Paper • 2510.26298 • Published • 46 -
Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning
Paper • 2510.25992 • Published • 48 -
Search More, Think Less: Rethinking Long-Horizon Agentic Search for Efficiency and Generalization
Paper • 2602.22675 • Published • 18 -
OmniGAIA: Towards Native Omni-Modal AI Agents
Paper • 2602.22897 • Published • 49