{"total":140,"rows":[{"id":"2508.18265","title":"InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency","created":"2025-08-25","cited_by_count":1510,"area":"lr"},{"id":"2503.20215","title":"Qwen2.5-Omni Technical Report","created":"2025-03-26","cited_by_count":736,"area":"lr"},{"id":"2503.06749","title":"Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models","created":"2025-03-09","cited_by_count":665,"area":"lr"},{"id":"2304.15010","title":"LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model","created":"2023-04-28","cited_by_count":602,"area":"lr"},{"id":"2411.10440","title":"LLaVA-CoT: Let Vision Language Models Reason Step-by-Step","created":"2024-11-15","cited_by_count":454,"area":"lr"},{"id":"2406.01584","title":"SpatialRGPT: Grounded Spatial Reasoning in Vision Language Models","created":"2024-06-03","cited_by_count":311,"area":"lr"},{"id":"2407.01284","title":"We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?","created":"2024-07-01","cited_by_count":286,"area":"lr"},{"id":"2403.16999","title":"Visual CoT: Advancing Multi-Modal Language Models with a Comprehensive Dataset and Benchmark for Chain-of-Thought Reasoning","created":"2024-03-25","cited_by_count":280,"area":"lr"},{"id":"2411.10442","title":"Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization","created":"2024-11-15","cited_by_count":239,"area":"lr"},{"id":"2504.11468","title":"SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models","created":"2025-04-10","cited_by_count":212,"area":"lr"},{"id":"2412.18319","title":"Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search","created":"2024-12-24","cited_by_count":175,"area":"lr"},{"id":"2501.06186","title":"LlamaV-o1: Rethinking Step-by-step Visual Reasoning in LLMs","created":"2025-01-10","cited_by_count":147,"area":"lr"},{"id":"2401.06805","title":"Exploring the Reasoning Abilities of Multimodal Large Language Models (MLLMs): A Comprehensive Survey on Emerging Trends in Multimodal Reasoning","created":"2024-01-10","cited_by_count":136,"area":"lr"},{"id":"2410.16198","title":"Improve Vision Language Model Chain-of-thought Reasoning","created":"2024-10-21","cited_by_count":136,"area":"lr"},{"id":"2412.05237","title":"MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale","created":"2024-12-06","cited_by_count":127,"area":"lr"},{"id":"2411.14432","title":"Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models","created":"2024-11-21","cited_by_count":116,"area":"lr"},{"id":"2506.03569","title":"MiMo-VL Technical Report","created":"2025-06-04","cited_by_count":115,"area":"lr"},{"id":"2508.11737","title":"Ovis2.5 Technical Report","created":"2025-08-15","cited_by_count":108,"area":"lr"},{"id":"2504.15279","title":"VisuLogic: A Benchmark for Evaluating Visual Reasoning in Multi-modal Large Language Models","created":"2025-04-21","cited_by_count":107,"area":"lr"},{"id":"2505.14677","title":"Visionary-R1: Mitigating Shortcuts in Visual Reasoning with Reinforcement Learning","created":"2025-05-20","cited_by_count":87,"area":"lr"},{"id":"2505.16839","title":"LaViDa: A Large Diffusion Language Model for Multimodal Understanding","created":"2025-05-22","cited_by_count":84,"area":"lr"},{"id":"2412.18424","title":"LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and Locating","created":"2024-12-24","cited_by_count":72,"area":"lr"},{"id":"2507.17520","title":"InstructVLA: Vision-Language-Action Instruction Tuning from Understanding to Manipulation","created":"2025-07-23","cited_by_count":72,"area":"lr"},{"id":"2505.14246","title":"Visual Agentic Reinforcement Fine-Tuning","created":"2025-05-20","cited_by_count":55,"area":"lr"},{"id":"2505.12081","title":"VisionReasoner: Unified Reasoning-Integrated Visual Perception via Reinforcement Learning","created":"2025-05-17","cited_by_count":51,"area":"lr"},{"id":"2505.20272","title":"Ground-R1: Incentivizing Grounded Visual Reasoning via Reinforcement Learning","created":"2025-05-26","cited_by_count":49,"area":"lr"},{"id":"2505.12448","title":"SSR: Enhancing Depth Perception in Vision-Language Models via Rationale-Guided Spatial Reasoning","created":"2025-05-18","cited_by_count":46,"area":"lr"},{"id":"2501.00569","title":"Probing Visual Language Priors in VLMs","created":"2024-12-31","cited_by_count":45,"area":"lr"},{"id":"2507.13348","title":"VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning","created":"2025-07-17","cited_by_count":43,"area":"lr"},{"id":"2505.22654","title":"VScan: Rethinking Visual Token Reduction for Efficient Large Vision-Language Models","created":"2025-05-28","cited_by_count":41,"area":"lr"},{"id":"2503.07523","title":"VisRL: Intention-Driven Visual Perception via Reinforced Reasoning","created":"2025-03-10","cited_by_count":39,"area":"lr"},{"id":"2404.09797","title":"TextCoT: Zoom In for Enhanced Multimodal Text-Rich Image Understanding","created":"2024-04-15","cited_by_count":38,"area":"lr"},{"id":"2410.20482","title":"What Factors Affect Multi-Modal In-Context Learning? An In-Depth Exploration","created":"2024-10-27","cited_by_count":31,"area":"lr"},{"id":"2508.17298","title":"Explain Before You Answer: A Survey on Compositional Visual Reasoning","created":"2025-08-24","cited_by_count":28,"area":"lr"},{"id":"2412.20631","title":"Slow Perception: Let's Perceive Geometric Figures Step-by-step","created":"2024-12-30","cited_by_count":24,"area":"lr"},{"id":"2508.12109","title":"Simple o3: Towards Interleaved Vision-Language Reasoning","created":"2025-08-16","cited_by_count":24,"area":"lr"},{"id":"2401.03411","title":"GRAM: Global Reasoning for Multi-Page VQA","created":"2024-01-07","cited_by_count":23,"area":"lr"},{"id":"2405.14156","title":"Unveiling the Tapestry of Consistency in Large Vision-Language Models","created":"2024-05-23","cited_by_count":22,"area":"lr"},{"id":"2211.05588","title":"Watching the News: Towards VideoQA Models that can Read","created":"2022-11-10","cited_by_count":20,"area":"lr"},{"id":"2410.04526","title":"FAMMA: A Benchmark for Financial Domain Multilingual Multimodal Question Answering","created":"2024-10-06","cited_by_count":20,"area":"lr"},{"id":"2403.19322","title":"Plug-and-Play Grounding of Reasoning in Multimodal Large Language Models","created":"2024-03-28","cited_by_count":18,"area":"lr"},{"id":"2510.00054","title":"HiDe: Rethinking The Zoom-IN method in High Resolution MLLMs via Hierarchical Decoupling","created":"2025-09-28","cited_by_count":17,"area":"lr"},{"id":"2504.15362","title":"LongPerceptualThoughts: Distilling System-2 Reasoning for System-1 Perception","created":"2025-04-21","cited_by_count":16,"area":"lr"},{"id":"2506.09532","title":"Athena: Enhancing Multimodal Reasoning with Data-efficient Process Reward Models","created":"2025-06-11","cited_by_count":16,"area":"lr"},{"id":"2512.17436","title":"Xiaomi MiMo-VL-Miloco Technical Report","created":"2025-12-19","cited_by_count":15,"area":"lr"},{"id":"2506.23508","title":"Why Reinforcement Fine-Tuning Enables MLLMs Preserve Prior Knowledge Better: A Data Perspective","created":"2025-06-30","cited_by_count":14,"area":"lr"},{"id":"2603.00905","title":"pySpatial: Generating 3D Visual Programs for Zero-Shot Spatial Reasoning","created":"2026-03-01","cited_by_count":14,"area":"lr"},{"id":"2508.12680","title":"Vision-G1: Towards General Vision Language Reasoning with Multi-Domain Data Curation","created":"2025-08-18","cited_by_count":13,"area":"lr"},{"id":"2502.20395","title":"R2-T2: Re-Routing in Test-Time for Multimodal Mixture-of-Experts","created":"2025-02-27","cited_by_count":12,"area":"lr"},{"id":"2511.22134","title":"DualVLA: Building a Generalizable Embodied Agent via Partial Decoupling of Reasoning and Action","created":"2025-11-27","cited_by_count":12,"area":"lr"},{"id":"2607.24904","title":"Mage-VL: An Efficient Codec-Native Streaming Multimodal Foundation Model","created":"2026-07-27","cited_by_count":10,"area":"lr"},{"id":"2601.22155","title":"UEval: A Benchmark for Unified Multimodal Generation","created":"2026-01-29","cited_by_count":9,"area":"lr"},{"id":"2402.14840","title":"RJUA-MedDQA: A Multimodal Benchmark for Medical Document Question Answering and Clinical Reasoning","created":"2024-02-19","cited_by_count":8,"area":"lr"},{"id":"2412.00151","title":"DLaVA: Document Language and Vision Assistant for Answer Localization with Enhanced Interpretability and Trustworthiness","created":"2024-11-29","cited_by_count":8,"area":"lr"},{"id":"2507.16863","title":"Position: Reasoning After Perception Means Reasoning Without Vision","created":"2025-07-21","cited_by_count":8,"area":"lr"},{"id":"2508.15851","title":"DocHop-QA: Towards Multi-Hop Reasoning over Multimodal Document Collections","created":"2025-08-20","cited_by_count":8,"area":"lr"},{"id":"2509.06461","title":"Focusing by Contrastive Attention: Enhancing VLMs' Visual Reasoning","created":"2025-09-08","cited_by_count":8,"area":"lr"},{"id":"2511.01365","title":"The Ouroboros of Benchmarking: Reasoning Evaluation in an Era of Saturation","created":"2025-11-03","cited_by_count":7,"area":"lr"},{"id":"2604.14799","title":"Knowing When Not to Answer: Evaluating Abstention in Multimodal Reasoning Systems","created":"2026-04-16","cited_by_count":7,"area":"lr"},{"id":"2505.12766","title":"Reasoning-OCR: Can Large Multimodal Models Solve Complex Logical Reasoning Problems from OCR Cues?","created":"2025-05-19","cited_by_count":6,"area":"lr"},{"id":"2505.18605","title":"Rethinking Causal Mask Attention for Vision-Language Inference","created":"2025-05-24","cited_by_count":6,"area":"lr"},{"id":"2506.08429","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","created":"2025-06-10","cited_by_count":6,"area":"lr"},{"id":"2509.07966","title":"Visual-TableQA: Open-Domain Benchmark for Reasoning over Table Images","created":"2025-09-09","cited_by_count":6,"area":"lr"},{"id":"2601.08741","title":"From Rows to Reasoning: A Retrieval-Augmented Multimodal Framework for Spreadsheet Understanding","created":"2026-01-13","cited_by_count":6,"area":"lr"},{"id":"2503.01754","title":"SDRT: Enhance Vision-Language Models by Self-Distillation with Diverse Reasoning Traces","created":"2025-03-03","cited_by_count":5,"area":"lr"},{"id":"2503.06553","title":"ProJudge: A Multi-Modal Multi-Discipline Benchmark and Instruction-Tuning Dataset for MLLM-based Process Judges","created":"2025-03-09","cited_by_count":5,"area":"lr"},{"id":"2505.20426","title":"MMPerspective: Do MLLMs Understand Perspective? A Comprehensive Benchmark for Perspective Perception, Reasoning, and Robustness","created":"2025-05-26","cited_by_count":5,"area":"lr"},{"id":"2512.21329","title":"Your Reasoning Benchmark May Not Test Reasoning: Revealing Perception Bottleneck in Abstract Reasoning Benchmarks","created":"2025-12-24","cited_by_count":5,"area":"lr"},{"id":"2603.06652","title":"PaLMR: Towards Faithful Visual Reasoning via Multimodal Process Alignment","created":"2026-02-28","cited_by_count":5,"area":"lr"},{"id":"2604.13579","title":"MM-Doc-R1: Training Agents for Long Document Visual Question Answering through Multi-turn Reinforcement Learning","created":"2026-04-15","cited_by_count":5,"area":"lr"},{"id":"2607.14557","title":"Seeing the End at Step Zero: Accelerating Diffusion MLLMs via MLP Sparsity-Aware Truncation","created":"2026-07-16","cited_by_count":5,"area":"lr"},{"id":"2505.12307","title":"LogicOCR: Do Your Large Multimodal Models Excel at Logical Reasoning on Text-Rich Images?","created":"2025-05-18","cited_by_count":4,"area":"lr"},{"id":"2505.21538","title":"Caption This, Reason That: VLMs Caught in the Middle","created":"2025-05-24","cited_by_count":4,"area":"lr"},{"id":"2511.12428","title":"RedVTP: Training-Free Acceleration of Diffusion Vision-Language Models Inference via Masked Token-Guided Visual Token Pruning","created":"2025-11-16","cited_by_count":4,"area":"lr"},{"id":"2511.18242","title":"EgoVITA: Learning to Plan and Verify for Egocentric Video Reasoning","created":"2025-11-23","cited_by_count":4,"area":"lr"},{"id":"2604.19945","title":"Visual Reasoning through Tool-supervised Reinforcement Learning","created":"2026-04-21","cited_by_count":4,"area":"lr"},{"id":"2605.30244","title":"Reinforcement Learning with Robust Rubric Rewards","created":"2026-05-28","cited_by_count":4,"area":"lr"},{"id":"2606.11576","title":"AVIS: Adaptive Test-Time Scaling for Vision-Language Models","created":"2026-06-10","cited_by_count":4,"area":"lr"},{"id":"2607.07836","title":"Infinity-Parser2 Technical Report","created":"2026-07-08","cited_by_count":4,"area":"lr"},{"id":"2504.10786","title":"Visual Language Models show widespread visual deficits on neuropsychological tests","created":"2025-04-15","cited_by_count":3,"area":"lr"},{"id":"2505.20753","title":"Understand, Think, and Answer: Advancing Visual Reasoning with Large Multimodal Models","created":"2025-05-27","cited_by_count":3,"area":"lr"},{"id":"2601.10108","title":"SIN-Bench: Tracing Native Evidence Chains in Long-Context Multimodal Scientific Interleaved Literature","created":"2026-01-15","cited_by_count":3,"area":"lr"},{"id":"2603.05697","title":"MultiHaystack: Benchmarking Multimodal Retrieval and Reasoning over 40K Images, Videos, and Documents","created":"2026-03-05","cited_by_count":3,"area":"lr"},{"id":"2603.07931","title":"BRIDGE: Benchmark for multi-hop Reasoning In long multimodal Documents with Grounded Evidence","created":"2026-03-09","cited_by_count":3,"area":"lr"},{"id":"2604.05887","title":"HybridKV: Hybrid KV Cache Compression for Efficient Multimodal Large Language Model Inference","created":"2026-04-07","cited_by_count":3,"area":"lr"},{"id":"2604.21079","title":"Foveated Reasoning: Stateful, Action-based Visual Focusing for Vision-Language Models","created":"2026-04-22","cited_by_count":3,"area":"lr"},{"id":"2506.11604","title":"VLM@school -- Evaluation of AI image understanding on German middle school knowledge","created":"2025-06-13","cited_by_count":2,"area":"lr"},{"id":"2508.15690","title":"GRAFT: GRaPH and Table Reasoning for Textual Alignment -- A Benchmark for Structured Instruction Following and Visual Reasoning","created":"2025-08-21","cited_by_count":2,"area":"lr"},{"id":"2510.25668","title":"ALDEN: Reinforcement Learning for Active Navigation and Evidence Gathering in Long Documents","created":"2025-10-29","cited_by_count":2,"area":"lr"},{"id":"2511.10301","title":"Rethinking Visual Information Processing in Multimodal LLMs","created":"2025-11-13","cited_by_count":2,"area":"lr"},{"id":"2512.14052","title":"HyperVL: An Efficient and Dynamic Multimodal Large Language Model for Edge Devices","created":"2025-12-16","cited_by_count":2,"area":"lr"},{"id":"2601.01718","title":"Yuan3.0 Flash: An Open Multimodal Large Language Model for Enterprise Applications","created":"2026-01-05","cited_by_count":2,"area":"lr"},{"id":"2602.17871","title":"Understanding the Fine-Grained Knowledge Capabilities of Vision-Language Models","created":"2026-02-19","cited_by_count":2,"area":"lr"},{"id":"2602.18746","title":"Bridging Modality Disconnect in Self-Reflection via Closed-Loop Visually Grounded Verification","created":"2026-02-21","cited_by_count":2,"area":"lr"},{"id":"2603.22057","title":"SpatialBoost: Enhancing Visual Representation through Language-Guided Reasoning","created":"2026-03-23","cited_by_count":2,"area":"lr"},{"id":"2604.08539","title":"OpenVLThinkerV2: A Generalist Multimodal Reasoning Model for Multi-domain Visual Tasks","created":"2026-04-09","cited_by_count":2,"area":"lr"},{"id":"2605.16409","title":"Multilingual OCR-Aware Fine-Tuning and Prompt-Guided Chain-of-Thought Reasoning for Multimodal Large Language Models","created":"2026-05-13","cited_by_count":2,"area":"lr"},{"id":"2411.18915","title":"MATATA: Weakly Supervised End-to-End MAthematical Tool-Augmented Reasoning for Tabular Applications","created":"2024-11-28","cited_by_count":1,"area":"lr"},{"id":"2505.18603","title":"Doc-CoB: Enhancing Document Understanding with Visual Chain-of-Boxes Reasoning","created":"2025-05-24","cited_by_count":1,"area":"lr"},{"id":"2506.14805","title":"Argus Inspection: Do Multimodal Large Language Models Possess the Eye of Panoptes?","created":"2025-06-03","cited_by_count":1,"area":"lr"}],"next_cursor":"100"}