{"total":66,"rows":[{"id":"2404.12390","title":"BLINK: Multimodal Large Language Models Can See but Not Perceive","created":"2024-04-18","cited_by_count":550,"area":"mllm"},{"id":"2404.01291","title":"Evaluating Text-to-Visual Generation with Image-to-Text Generation","created":"2024-04-01","cited_by_count":474,"area":null},{"id":"2312.17172","title":"Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action","created":"2023-12-28","cited_by_count":302,"area":null},{"id":"2505.15966","title":"Pixel Reasoner: Incentivizing Pixel-Space Reasoning with Curiosity-Driven Reinforcement Learning","created":"2025-05-21","cited_by_count":278,"area":"lr"},{"id":"2406.09403","title":"Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models","created":"2024-06-13","cited_by_count":268,"area":"lr"},{"id":"2505.15436","title":"Adaptive Chain-of-Focus Reasoning via Dynamic Visual Search and Zooming for Efficient VLMs","created":"2025-05-21","cited_by_count":96,"area":"lr"},{"id":"2411.17451","title":"VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models","created":"2024-11-26","cited_by_count":86,"area":"alignment"},{"id":"2505.23678","title":"Grounded Reinforcement Learning for Visual Reasoning","created":"2025-05-29","cited_by_count":83,"area":"lr"},{"id":"2412.03548","title":"Perception Tokens Enhance Visual Reasoning in Multimodal Language Models","created":"2024-12-04","cited_by_count":71,"area":"lr"},{"id":"2402.04236","title":"CogCoM: A Visual Language Model with Chain-of-Manipulations Reasoning","created":"2024-02-06","cited_by_count":67,"area":"lr"},{"id":"2407.01885","title":"Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application","created":"2024-07-02","cited_by_count":56,"area":"distill"},{"id":"2508.05606","title":"Uni-cot: Towards Unified Chain-of-Thought Reasoning Across Text and Vision","created":"2025-08-07","cited_by_count":56,"area":"lr"},{"id":"2510.24514","title":"Latent Sketchpad: Sketching Visual Thoughts to Elicit Multimodal Reasoning in MLLMs","created":"2025-10-28","cited_by_count":43,"area":"lr"},{"id":"2509.01656","title":"Reinforced Visual Perception with Tools","created":"2025-09-01","cited_by_count":38,"area":"lr"},{"id":"2412.01694","title":"Enhancing Video-LLM Reasoning via Agent-of-Thoughts Distillation","created":"2024-12-02","cited_by_count":37,"area":"lr"},{"id":"2505.15510","title":"Visual Thoughts: A Unified Perspective of Understanding Multimodal Chain-of-Thought","created":"2025-05-21","cited_by_count":35,"area":"lr"},{"id":"2404.16033","title":"Cantor: Inspiring Multimodal Chain-of-Thought of MLLM","created":"2024-04-24","cited_by_count":34,"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":"2510.08480","title":"Video-STAR: Reinforcing Open-Vocabulary Action Recognition with Tools","created":"2025-10-09","cited_by_count":26,"area":"mllm"},{"id":"2504.03151","title":"Why Reasoning Matters? A Survey of Advancements in Multimodal Reasoning (v1)","created":"2025-04-04","cited_by_count":23,"area":"lr"},{"id":"2504.21561","title":"Iterative Tool Usage Exploration for Multimodal Agents via Step-wise Preference Tuning","created":"2025-04-30","cited_by_count":19,"area":"mllm"},{"id":"2403.12884","title":"HYDRA: A Hyper Agent for Dynamic Compositional Visual Reasoning","created":"2024-03-19","cited_by_count":18,"area":"lr"},{"id":"2410.01744","title":"Leopard: A Vision Language Model For Text-Rich Multi-Image Tasks","created":"2024-10-02","cited_by_count":18,"area":"mllm"},{"id":"2410.16400","title":"VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use","created":"2024-10-21","cited_by_count":18,"area":"mllm"},{"id":"2404.14604","title":"Describe-then-Reason: Improving Multimodal Mathematical Reasoning through Visual Comprehension Training","created":"2024-04-22","cited_by_count":17,"area":"lr"},{"id":"2410.20883","title":"Improving Generalization in Visual Reasoning via Self-Ensemble","created":"2024-10-28","cited_by_count":15,"area":"lr"},{"id":"2405.20834","title":"Retrieval Meets Reasoning: Even High-school Textbook Knowledge Benefits Multimodal Reasoning","created":"2024-05-31","cited_by_count":14,"area":"lr"},{"id":"2411.16313","title":"CATP-LLM: Empowering Large Language Models for Cost-Aware Tool Planning","created":"2024-11-25","cited_by_count":14,"area":null},{"id":"2406.07353","title":"Toxic Memes: A Survey of Computational Perspectives on the Detection and Explanation of Meme Toxicities","created":"2024-06-11","cited_by_count":13,"area":null},{"id":"2508.03284","title":"ToolVQA: A Dataset for Multi-step Reasoning VQA with External Tools","created":"2025-08-05","cited_by_count":13,"area":null},{"id":"2412.16158","title":"HoVLE: Unleashing the Power of Monolithic Vision-Language Models with Holistic Vision-Language Embedding","created":"2024-12-20","cited_by_count":10,"area":"mllm"},{"id":"2504.06606","title":"Benchmarking Multimodal CoT Reward Model Stepwise by Visual Program","created":"2025-04-09","cited_by_count":10,"area":"lr"},{"id":"2512.10359","title":"Tool-Augmented Spatiotemporal Reasoning for Streamlining Video Question Answering Task","created":"2025-12-11","cited_by_count":10,"area":"lr"},{"id":"2410.22315","title":"Natural Language Inference Improves Compositionality in Vision-Language Models","created":"2024-10-29","cited_by_count":8,"area":"lr"},{"id":"2510.08630","title":"ExPO-HM: Learning to Explain-then-Detect for Hateful Meme Detection","created":"2025-10-08","cited_by_count":8,"area":"lr"},{"id":"2602.11499","title":"What if Agents Could Imagine? Reinforcing Open-Vocabulary HOI Comprehension through Generation","created":"2026-02-12","cited_by_count":8,"area":"lr"},{"id":"2512.05145","title":"Self-Improving VLM Judges Without Human Annotations","created":"2025-12-02","cited_by_count":7,"area":"mllm"},{"id":"2605.06597","title":"UniSD: Towards a Unified Self-Distillation Framework for Large Language Models","created":"2026-05-07","cited_by_count":7,"area":"distill"},{"id":"2503.12855","title":"VITED: Video Temporal Evidence Distillation","created":"2025-03-17","cited_by_count":5,"area":null},{"id":"2505.10526","title":"MASSV: Multimodal Adaptation and Self-Data Distillation for Speculative Decoding of Vision-Language Models","created":"2025-05-15","cited_by_count":5,"area":"mllm"},{"id":"2512.23592","title":"Same or Not? Enhancing Visual Perception in Vision-Language Models","created":"2025-12-29","cited_by_count":5,"area":"mllm"},{"id":"2412.08859","title":"ViUniT: Visual Unit Tests for More Robust Visual Programming","created":"2024-12-12","cited_by_count":4,"area":null},{"id":"2505.08084","title":"Visually Interpretable Subtask Reasoning for Visual Question Answering","created":"2025-05-12","cited_by_count":4,"area":"lr"},{"id":"2507.02804","title":"Multimodal Mathematical Reasoning with Diverse Solving Perspective","created":"2025-07-03","cited_by_count":4,"area":"lr"},{"id":"2507.18140","title":"MathOPEval: A Fine-grained Evaluation Benchmark for Visual Operations of MLLMs in Mathematical Reasoning","created":"2025-07-24","cited_by_count":4,"area":"lr"},{"id":"2512.08889","title":"No Labels, No Problem: Training Visual Reasoners with Multimodal Verifiers","created":"2025-12-09","cited_by_count":4,"area":"lr"},{"id":"2605.11307","title":"Vision2Code: A Multi-Domain Benchmark for Evaluating Image-to-Code Generation","created":"2026-05-11","cited_by_count":4,"area":"mllm"},{"id":"2503.07631","title":"OWLViz: An Open-World Benchmark for Visual Question Answering","created":"2025-03-04","cited_by_count":3,"area":null},{"id":"2504.09764","title":"Socratic Chart: Cooperating Multiple Agents for Robust SVG Chart Understanding","created":"2025-04-14","cited_by_count":3,"area":"mllm"},{"id":"2507.22100","title":"Trade-offs in Image Generation: How Do Different Dimensions Interact?","created":"2025-07-29","cited_by_count":3,"area":null},{"id":"2509.25135","title":"Learning in an Echo Chamber: Online Learning with Replay Adversary","created":"2025-09-29","cited_by_count":3,"area":null},{"id":"2411.06606","title":"Gen-AI for User Safety: A Survey","created":"2024-11-10","cited_by_count":2,"area":null},{"id":"2510.18117","title":"Online In-Context Distillation for Low-Resource Vision Language Models","created":"2025-10-20","cited_by_count":2,"area":"mllm"},{"id":"2605.20682","title":"IndusAgent: Reinforcing Open-Vocabulary Industrial Anomaly Detection with Agentic Tools","created":"2026-05-20","cited_by_count":2,"area":"mllm"},{"id":"2607.27703","title":"SpatialCLI: Learning to Reason With Spatial Tools, Then Without Them","created":"2026-07-30","cited_by_count":2,"area":"lr"},{"id":"2507.22933","title":"Augmented Vision-Language Models: A Systematic Review","created":"2025-07-24","cited_by_count":1,"area":"mllm"},{"id":"2511.08043","title":"DynaAct: Large Language Model Reasoning with Dynamic Action Spaces","created":"2025-11-11","cited_by_count":1,"area":"lr"},{"id":"2511.18415","title":"DuoTeach: Dual Role Self-Teaching for Coarse-to-Fine Decision Coordination in Vision--Language Models","created":"2025-11-23","cited_by_count":1,"area":null},{"id":"2512.24555","title":"From Perception to Punchline: Empowering VLM with the Art of In-the-wild Meme","created":"2025-12-31","cited_by_count":1,"area":"lr"},{"id":"2606.16082","title":"Tool-IQA: Augmenting Image Quality Assessment with Simple Tools","created":"2026-06-15","cited_by_count":1,"area":"mllm"},{"id":"2508.04427","title":"Decoding the Multimodal Maze: A Systematic Review on the Adoption of Explainability in Multimodal Attention-based Models","created":"2025-08-06","cited_by_count":0,"area":null},{"id":"2512.21414","title":"A Tool Bottleneck Framework for Clinically-Informed and Interpretable Medical Image Understanding","created":"2025-12-24","cited_by_count":0,"area":"mllm"},{"id":"2606.26196","title":"From Structure to Synergy: A Survey of Vision-Language Perception Paradigm Evolution in Multimodal Large Language Models","created":"2026-06-24","cited_by_count":0,"area":"mllm"},{"id":"2607.04779","title":"DGSeg: Dynamic Gating of Semantic-Spatial Guided Predictions for Reasoning Segmentation","created":"2026-07-06","cited_by_count":0,"area":"lr"},{"id":"2609.16255","title":"Efficient Reasoning Distillation: Small Video-Language Models via Synthetic CoT and Difficulty-Aware Fine-Tuning","created":"2026-09-14","cited_by_count":0,"area":"lr"},{"id":"2609.19878","title":"Uni-LaDiR: Latent Diffusion Unifies Multimodal Reasoning","created":"2026-09-17","cited_by_count":0,"area":"lr"}],"next_cursor":null}