{"total":167,"rows":[{"id":"2511.05271","title":"DeepEyesV2: Toward Agentic Multimodal Model","created":"2025-11-07","cited_by_count":125,"area":"agents"},{"id":"2511.21395","title":"Monet: Reasoning in Latent Visual Space Beyond Images and Language","created":"2025-11-26","cited_by_count":82,"area":"lr"},{"id":"2605.18740","title":"Vision-OPD: Learning to See Fine Details for Multimodal LLMs via On-Policy Self-Distillation","created":"2026-05-18","cited_by_count":77,"area":"mllm"},{"id":"2509.01563","title":"Kwai Keye-VL 1.5 Technical Report","created":"2025-09-01","cited_by_count":73,"area":"mllm"},{"id":"2604.18292","title":"Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence","created":"2026-04-20","cited_by_count":54,"area":"agents"},{"id":"2602.11858","title":"Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception","created":"2026-02-12","cited_by_count":50,"area":"mllm"},{"id":"2509.01656","title":"Reinforced Visual Perception with Tools","created":"2025-09-01","cited_by_count":38,"area":"lr"},{"id":"2511.01833","title":"TIR-Bench: A Comprehensive Benchmark for Agentic Thinking-with-Images Reasoning","created":"2025-11-03","cited_by_count":36,"area":"lr"},{"id":"2509.24897","title":"RealUnify: Do Unified Models Truly Benefit from Unification? A Comprehensive Benchmark","created":"2025-09-29","cited_by_count":33,"area":null},{"id":"2512.24330","title":"SenseNova-MARS: Empowering Multimodal Agentic Reasoning and Search via Reinforcement Learning","created":"2025-12-30","cited_by_count":33,"area":"lr"},{"id":"2511.19900","title":"Agent0-VL: Exploring Self-Evolving Agent for Tool-Integrated Vision-Language Reasoning","created":"2025-11-25","cited_by_count":31,"area":"lr"},{"id":"2511.23002","title":"JarvisEvo: Towards a Self-Evolving Photo Editing Agent with Synergistic Editor-Evaluator Optimization","created":"2025-11-28","cited_by_count":31,"area":"alignment"},{"id":"2512.02395","title":"Skywork-R1V4: Toward Agentic Multimodal Intelligence through Interleaved Thinking with Images and DeepResearch","created":"2025-12-02","cited_by_count":27,"area":"agents"},{"id":"2510.08480","title":"Video-STAR: Reinforcing Open-Vocabulary Action Recognition with Tools","created":"2025-10-09","cited_by_count":26,"area":"mllm"},{"id":"2511.04460","title":"V-Thinker: Interactive Thinking with Images","created":"2025-11-06","cited_by_count":26,"area":"lr"},{"id":"2511.19661","title":"CodeV: Code with Images for Faithful Visual Reasoning via Tool-Aware Policy Optimization","created":"2025-11-24","cited_by_count":26,"area":"lr"},{"id":"2512.15693","title":"Skyra: AI-Generated Video Detection via Grounded Artifact Reasoning","created":"2025-12-17","cited_by_count":25,"area":"lr"},{"id":"2512.16584","title":"Sketch-in-Latents: Eliciting Unified Reasoning in MLLMs","created":"2025-12-18","cited_by_count":25,"area":"lr"},{"id":"2601.18543","title":"GenAgent: Scaling Text-to-Image Generation via Agentic Multimodal Reasoning","created":"2026-01-26","cited_by_count":24,"area":"lr"},{"id":"2510.10991","title":"A Survey on Agentic Multimodal Large Language Models","created":"2025-10-13","cited_by_count":23,"area":"mllm"},{"id":"2510.02240","title":"RewardMap: Tackling Sparse Rewards in Fine-grained Visual Reasoning via Multi-Stage Reinforcement Learning","created":"2025-10-02","cited_by_count":21,"area":"lr"},{"id":"2512.16918","title":"AdaTooler-V: Adaptive Tool-Use for Images and Videos","created":"2025-12-18","cited_by_count":21,"area":"lr"},{"id":"2511.18437","title":"Perceptual-Evidence Anchored Reinforced Learning for Multimodal Reasoning","created":"2025-11-23","cited_by_count":20,"area":"lr"},{"id":"2512.24165","title":"DiffThinker: Towards Generative Multimodal Reasoning with Diffusion Models","created":"2025-12-30","cited_by_count":19,"area":"lr"},{"id":"2509.23285","title":"Toward Effective Tool-Integrated Reasoning via Self-Evolved Preference Learning","created":"2025-09-27","cited_by_count":17,"area":"lr"},{"id":"2603.24558","title":"LensWalk: Agentic Video Understanding by Planning How You See in Videos","created":"2026-03-25","cited_by_count":17,"area":"mllm"},{"id":"2512.17312","title":"CodeDance: A Dynamic Tool-integrated MLLM for Executable Visual Reasoning","created":"2025-12-19","cited_by_count":16,"area":"lr"},{"id":"2602.20739","title":"PyVision-RL: Forging Open Agentic Vision Models via RL","created":"2026-02-24","cited_by_count":16,"area":"agents"},{"id":"2509.16127","title":"BaseReward: A Strong Baseline for Multimodal Reward Model","created":"2025-09-19","cited_by_count":15,"area":"mllm"},{"id":"2512.03746","title":"Thinking with Programming Vision: Towards a Unified View for Thinking with Images","created":"2025-12-03","cited_by_count":15,"area":"lr"},{"id":"2601.10129","title":"LaViT: Aligning Latent Visual Thoughts for Multi-modal Reasoning","created":"2026-01-15","cited_by_count":15,"area":null},{"id":"2509.25866","title":"DeepSketcher: Internalizing Visual Manipulation for Multimodal Reasoning","created":"2025-09-30","cited_by_count":14,"area":"lr"},{"id":"2604.08545","title":"Act Wisely: Cultivating Meta-Cognitive Tool Use in Agentic Multimodal Models","created":"2026-04-09","cited_by_count":14,"area":"agents"},{"id":"2602.22766","title":"Imagination Helps Visual Reasoning, But Not Yet in Latent Space","created":"2026-02-26","cited_by_count":12,"area":"lr"},{"id":"2603.13366","title":"Thinking in Uncertainty: Mitigating Hallucinations in MLRMs with Latent Entropy-Aware Decoding","created":"2026-03-09","cited_by_count":12,"area":"lr"},{"id":"2603.15030","title":"VTC-Bench: Evaluating Agentic Multimodal Models via Compositional Visual Tool Chaining","created":"2026-03-16","cited_by_count":12,"area":"mllm"},{"id":"2511.15705","title":"GeoVista: Web-Augmented Agentic Visual Reasoning for Geolocalization","created":"2025-11-19","cited_by_count":11,"area":"lr"},{"id":"2606.25319","title":"V-Zero: Answer-Label-Free On-Policy Distillation with Contrastive Evidence Gating for Fine-Grained Visual Reasoning","created":"2026-06-24","cited_by_count":11,"area":"lr"},{"id":"2509.16944","title":"Catching the Details: Self-Distilled RoI Predictors for Fine-Grained MLLM Perception","created":"2025-09-21","cited_by_count":9,"area":"mllm"},{"id":"2510.01681","title":"Look Less, Reason More: Rollout-Guided Adaptive Pixel-Space Reasoning","created":"2025-10-02","cited_by_count":9,"area":"lr"},{"id":"2512.02361","title":"VACoT: Rethinking Visual Data Augmentation with VLMs","created":"2025-12-02","cited_by_count":9,"area":"lr"},{"id":"2512.04563","title":"COOPER: A Unified Model for Cooperative Perception and Reasoning in Spatial Intelligence","created":"2025-12-04","cited_by_count":9,"area":"lr"},{"id":"2602.01334","title":"What Does Vision Tool-Use Reinforcement Learning Really Learn? Disentangling Tool-Induced and Intrinsic Effects for Crop-and-Zoom","created":"2026-02-01","cited_by_count":9,"area":"mllm"},{"id":"2603.25077","title":"Bridging Perception and Reasoning: Token Reweighting for RLVR in Multimodal LLMs","created":"2026-03-26","cited_by_count":9,"area":"lr"},{"id":"2511.22586","title":"Revisiting the Necessity of Lengthy Chain-of-Thought in Vision-centric Reasoning Generalization","created":"2025-11-27","cited_by_count":8,"area":"lr"},{"id":"2512.06373","title":"VG-Refiner: Towards Tool-Refined Referring Grounded Reasoning via Agentic Reinforcement Learning","created":"2025-12-06","cited_by_count":8,"area":"lr"},{"id":"2512.17306","title":"Deep But Reliable: Advancing Multi-turn Reasoning for Thinking with Images","created":"2025-12-19","cited_by_count":8,"area":"lr"},{"id":"2602.01816","title":"Seeing Is Believing? A Benchmark for Multimodal Large Language Models on Visual Illusions and Anomalies","created":"2026-02-02","cited_by_count":8,"area":"mllm"},{"id":"2603.05869","title":"PatchCue: Enhancing Vision-Language Model Reasoning with Patch-Based Visual Cues","created":"2026-03-06","cited_by_count":8,"area":"lr"},{"id":"2603.28610","title":"ResAdapt: Adaptive Resolution for Efficient Multimodal Reasoning","created":"2026-03-30","cited_by_count":8,"area":"lr"},{"id":"2608.05131","title":"OPD-V: Visual On-Policy Self-Distillation with Modality Balance","created":"2026-08-05","cited_by_count":8,"area":"lr"},{"id":"2601.18631","title":"AdaReasoner: Dynamic Tool Orchestration for Iterative Visual Reasoning","created":"2026-01-26","cited_by_count":7,"area":"lr"},{"id":"2602.07801","title":"VideoTemp-o3: Harmonizing Temporal Grounding and Video Understanding in Agentic Thinking-with-Videos","created":"2026-02-08","cited_by_count":7,"area":"agents"},{"id":"2606.09669","title":"SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks","created":"2026-06-08","cited_by_count":7,"area":"lr"},{"id":"2602.00574","title":"Learning Modal-Mixed Chain-of-Thought Reasoning with Latent Embeddings","created":"2026-01-31","cited_by_count":6,"area":"lr"},{"id":"2603.03857","title":"DeepScan: A Training-Free Framework for Visually Grounded Reasoning in Large Vision-Language Models","created":"2026-03-04","cited_by_count":6,"area":"lr"},{"id":"2604.06912","title":"Q-Zoom: Query-Aware Adaptive Perception for Efficient Multimodal Large Language Models","created":"2026-04-08","cited_by_count":6,"area":"mllm"},{"id":"2604.20328","title":"HyLaR: Hybrid Latent Reasoning with Decoupled Policy Optimization","created":"2026-04-22","cited_by_count":6,"area":"lr"},{"id":"2606.15932","title":"Beyond NL2Code: A Structured Survey of Multimodal Code Intelligence","created":"2026-06-14","cited_by_count":6,"area":null},{"id":"2510.15440","title":"Select Less, Reason More: Prioritizing Evidence Purity for Video Reasoning","created":"2025-10-17","cited_by_count":5,"area":"lr"},{"id":"2512.13303","title":"ShowTable: Unlocking Creative Table Visualization with Collaborative Reflection and Refinement","created":"2025-12-15","cited_by_count":5,"area":null},{"id":"2602.12916","title":"Reliable Thinking with Images","created":"2026-02-13","cited_by_count":5,"area":"lr"},{"id":"2602.22623","title":"ContextRL: Enhancing MLLM's Knowledge Discovery Efficiency with Context-Augmented RL","created":"2026-02-26","cited_by_count":5,"area":"alignment"},{"id":"2602.24134","title":"AgenticOCR: Parsing Only What You Need for Efficient Retrieval-Augmented Generation","created":"2026-02-27","cited_by_count":5,"area":"rag"},{"id":"2603.14117","title":"Improving Visual Reasoning with Iterative Evidence Refinement","created":"2026-03-14","cited_by_count":5,"area":"lr"},{"id":"2604.03016","title":"Agentic-MME: What Agentic Capability Really Brings to Multimodal Intelligence?","created":"2026-04-03","cited_by_count":5,"area":"mllm"},{"id":"2604.06777","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","created":"2026-04-08","cited_by_count":5,"area":"lr"},{"id":"2604.21409","title":"S1-VL: Scientific Multimodal Reasoning Model with Thinking-with-Images","created":"2026-04-23","cited_by_count":5,"area":"lr"},{"id":"2605.12882","title":"CiteVQA: Benchmarking Evidence Attribution for Trustworthy Document Intelligence","created":"2026-05-13","cited_by_count":5,"area":null},{"id":"2605.18641","title":"Leveraging Latent Visual Reasoning in Silence","created":"2026-05-18","cited_by_count":5,"area":"lr"},{"id":"2606.06476","title":"Thinking with Imagination: Agentic Visual Spatial Reasoning with World Simulators","created":"2026-06-04","cited_by_count":5,"area":"lr"},{"id":"2606.10651","title":"Kwai Keye-VL-2.0 Technical Report","created":"2026-06-09","cited_by_count":5,"area":"agents"},{"id":"2510.00705","title":"Training-free Uncertainty Guidance for Complex Visual Tasks with MLLMs","created":"2025-10-01","cited_by_count":4,"area":"mllm"},{"id":"2511.15090","title":"SciEGQA: A Dataset for Scientific Evidence-Grounded Question Answering and Reasoning","created":"2025-11-19","cited_by_count":4,"area":"lr"},{"id":"2512.08980","title":"Training Multi-Image Vision Agents via End2End Reinforcement Learning","created":"2025-12-05","cited_by_count":4,"area":"lr"},{"id":"2512.16300","title":"Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection","created":"2025-12-18","cited_by_count":4,"area":"mllm"},{"id":"2602.06040","title":"SwimBird: Eliciting Switchable Reasoning Mode in Hybrid Autoregressive MLLMs","created":"2026-02-05","cited_by_count":4,"area":"lr"},{"id":"2602.14482","title":"TikArt: Stabilizing Aperture-Guided Fine-Grained Visual Reasoning with Reinforcement Learning","created":"2026-02-16","cited_by_count":4,"area":"lr"},{"id":"2604.12896","title":"Don't Show Pixels, Show Cues: Unlocking Visual Tool Reasoning in Language Models via Perception Programs","created":"2026-04-14","cited_by_count":4,"area":"lr"},{"id":"2605.28774","title":"Agent Explorative Policy Optimization for Multimodal Agentic Reasoning","created":"2026-05-27","cited_by_count":4,"area":"lr"},{"id":"2608.07955","title":"Self-Evolving Neuro-Symbolic Skills for Tool-Augmented Spatial Reasoning","created":"2026-08-08","cited_by_count":4,"area":"lr"},{"id":"2601.11633","title":"Beyond Accuracy: Evaluating Grounded Visual Evidence in Thinking with Images","created":"2026-01-14","cited_by_count":3,"area":"lr"},{"id":"2602.02676","title":"AdaptMMBench: Benchmarking Adaptive Multimodal Reasoning for Mode Selection and Reasoning Process","created":"2026-02-02","cited_by_count":3,"area":"lr"},{"id":"2602.10675","title":"TwiFF (Think With Future Frames): A Large-Scale Dataset for Dynamic Visual Reasoning","created":"2026-02-11","cited_by_count":3,"area":"lr"},{"id":"2602.18600","title":"MapTab: A Diagnostic Benchmark for Long-Horizon Multi-Criteria Multimodal Reasoning on Heterogeneous Topological Graphs","created":"2026-02-20","cited_by_count":3,"area":"lr"},{"id":"2603.06032","title":"StruVis: Enhancing Reasoning-based Text-to-Image Generation via Thinking with Structured Vision","created":"2026-03-06","cited_by_count":3,"area":"lr"},{"id":"2603.24004","title":"Thinking with Tables: Enhancing Multi-Modal Tabular Understanding via Neuro-Symbolic Reasoning","created":"2026-03-25","cited_by_count":3,"area":"lr"},{"id":"2603.25021","title":"VideoTIR: Accurate Understanding for Long Videos with Efficient Tool-Integrated Reasoning","created":"2026-03-26","cited_by_count":3,"area":"lr"},{"id":"2604.09712","title":"LAST: Leveraging Tools as Hints to Enhance Spatial Reasoning for Multimodal Large Language Models","created":"2026-04-08","cited_by_count":3,"area":"lr"},{"id":"2604.16243","title":"Find, Fix, Reason: Context Repair for Video Reasoning","created":"2026-04-17","cited_by_count":3,"area":"mllm"},{"id":"2604.17969","title":"E3VS-Bench: A Benchmark for Viewpoint-Dependent Active Perception in 3D Gaussian Splatting Scenes","created":"2026-04-20","cited_by_count":3,"area":null},{"id":"2604.28078","title":"AesRM: Improving Video Aesthetics with Expert-Level Feedback","created":"2026-04-30","cited_by_count":3,"area":null},{"id":"2605.01345","title":"The Perceptual Bandwidth Bottleneck in Vision-Language Models: Active Visual Reasoning via Sequential Experimental Design","created":"2026-05-02","cited_by_count":3,"area":"lr"},{"id":"2605.08146","title":"VT-Bench: A Unified Benchmark for Visual-Tabular Multi-Modal Learning","created":"2026-05-03","cited_by_count":3,"area":null},{"id":"2605.12163","title":"Self-Consistent Latent Reasoning: Long Latent Sequence Reasoning for Vision-Language Model","created":"2026-05-12","cited_by_count":3,"area":"lr"},{"id":"2605.30307","title":"Grounded 3D-Aware Spatial Vision-Language Modeling","created":"2026-05-28","cited_by_count":3,"area":"mllm"},{"id":"2606.00579","title":"Sandboxed Coding Agents are Competitive Omni-modal Task Solvers","created":"2026-05-30","cited_by_count":3,"area":"mllm"},{"id":"2606.24233","title":"Latent Visual States for Efficient Multimodal Reasoning","created":"2026-06-23","cited_by_count":3,"area":"lr"},{"id":"2607.01191","title":"Perceive-to-Reason: Decoupling Perception and Reasoning for Fine-Grained Visual Reasoning","created":"2026-07-01","cited_by_count":3,"area":"lr"},{"id":"2608.09682","title":"Thinking With Tools, Not With Pixels: Tool Calls as Text Scaffolds for Visual Reasoning","created":"2026-08-10","cited_by_count":3,"area":"lr"}],"next_cursor":"100"}