{"total":135,"rows":[{"id":"2307.06281","title":"MMBench: Is Your Multi-modal Model an All-around Player?","created":"2023-07-12","cited_by_count":2141,"area":"lr"},{"id":"2310.02255","title":"MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts","created":"2023-10-03","cited_by_count":1614,"area":"lr"},{"id":"2308.00692","title":"LISA: Reasoning Segmentation via Large Language Model","created":"2023-08-01","cited_by_count":776,"area":"lr"},{"id":"2505.14362","title":"DeepEyes: Incentivizing \"Thinking with Images\" via Reinforcement Learning","created":"2025-05-20","cited_by_count":410,"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":"2305.15021","title":"EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought","created":"2023-05-24","cited_by_count":279,"area":"lr"},{"id":"2503.07536","title":"LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL","created":"2025-03-10","cited_by_count":248,"area":"lr"},{"id":"2311.18651","title":"LL3DA: Visual Interactive Instruction Tuning for Omni-3D Understanding, Reasoning, and Planning","created":"2023-11-30","cited_by_count":210,"area":"lr"},{"id":"2311.17076","title":"Compositional Chain-of-Thought Prompting for Large Multimodal Models","created":"2023-11-27","cited_by_count":164,"area":"lr"},{"id":"2406.17294","title":"Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models","created":"2024-06-25","cited_by_count":133,"area":"lr"},{"id":"2310.16436","title":"DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models","created":"2023-10-25","cited_by_count":128,"area":"lr"},{"id":"2402.12185","title":"ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning","created":"2024-02-19","cited_by_count":128,"area":"lr"},{"id":"2407.11325","title":"VISA: Reasoning Video Object Segmentation via Large Language Models","created":"2024-07-16","cited_by_count":127,"area":"lr"},{"id":"2406.11161","title":"Emotion-LLaMA: Multimodal Emotion Recognition and Reasoning with Instruction Tuning","created":"2024-06-17","cited_by_count":121,"area":"lr"},{"id":"2312.15915","title":"ChartBench: A Benchmark for Complex Visual Reasoning in Charts","created":"2023-12-26","cited_by_count":120,"area":"lr"},{"id":"2311.16101","title":"How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs","created":"2023-11-27","cited_by_count":108,"area":"lr"},{"id":"2310.05845","title":"GraphLLM: Boosting Graph Reasoning Ability of Large Language Model","created":"2023-10-09","cited_by_count":107,"area":"lr"},{"id":"2403.18406","title":"An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM","created":"2024-03-27","cited_by_count":97,"area":"lr"},{"id":"2310.20550","title":"CapsFusion: Rethinking Image-Text Data at Scale","created":"2023-10-31","cited_by_count":90,"area":"lr"},{"id":"2505.04921","title":"Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models","created":"2025-05-08","cited_by_count":90,"area":"lr"},{"id":"2404.06511","title":"MoReVQA: Exploring Modular Reasoning Models for Video Question Answering","created":"2024-04-09","cited_by_count":74,"area":"lr"},{"id":"2312.17240","title":"LISA++: An Improved Baseline for Reasoning Segmentation with Large Language Model","created":"2023-12-28","cited_by_count":71,"area":"lr"},{"id":"2409.00147","title":"MultiMath: Bridging Visual and Mathematical Reasoning for Large Language Models","created":"2024-08-30","cited_by_count":70,"area":"lr"},{"id":"2312.06722","title":"EgoPlan-Bench: Benchmarking Multimodal Large Language Models for Human-Level Planning","created":"2023-12-11","cited_by_count":69,"area":"lr"},{"id":"2403.09028","title":"ChartInstruct: Instruction Tuning for Chart Comprehension and Reasoning","created":"2024-03-14","cited_by_count":68,"area":"lr"},{"id":"2403.12966","title":"Chain-of-Spot: Interactive Reasoning Improves Large Vision-Language Models","created":"2024-03-19","cited_by_count":66,"area":"lr"},{"id":"2509.21100","title":"VideoChat-R1.5: Visual Test-Time Scaling to Reinforce Multimodal Reasoning by Iterative Perception","created":"2025-09-25","cited_by_count":65,"area":"lr"},{"id":"2312.02439","title":"Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation","created":"2023-12-05","cited_by_count":56,"area":"lr"},{"id":"2311.15209","title":"See and Think: Embodied Agent in Virtual Environment","created":"2023-11-26","cited_by_count":54,"area":"lr"},{"id":"2408.08862","title":"Visual Agents as Fast and Slow Thinkers","created":"2024-08-16","cited_by_count":53,"area":"lr"},{"id":"2404.16635","title":"TinyChart: Efficient Chart Understanding with Visual Token Merging and Program-of-Thoughts Learning","created":"2024-04-25","cited_by_count":52,"area":"lr"},{"id":"2406.19392","title":"ReXTime: A Benchmark Suite for Reasoning-Across-Time in Videos","created":"2024-06-27","cited_by_count":51,"area":"lr"},{"id":"2410.15926","title":"Mitigating Object Hallucination via Concentric Causal Attention","created":"2024-10-21","cited_by_count":49,"area":"lr"},{"id":"2505.16192","title":"VLM-R$^3$: Region Recognition, Reasoning, and Refinement for Enhanced Multimodal Chain-of-Thought","created":"2025-05-22","cited_by_count":49,"area":"lr"},{"id":"2407.01525","title":"ScanReason: Empowering 3D Visual Grounding with Reasoning Capabilities","created":"2024-07-01","cited_by_count":47,"area":"lr"},{"id":"2506.22624","title":"Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning","created":"2025-06-27","cited_by_count":44,"area":"lr"},{"id":"2312.02896","title":"BenchLMM: Benchmarking Cross-style Visual Capability of Large Multimodal Models","created":"2023-12-05","cited_by_count":41,"area":"lr"},{"id":"2412.04447","title":"EgoPlan-Bench2: A Benchmark for Multimodal Large Language Model Planning in Real-World Scenarios","created":"2024-12-05","cited_by_count":41,"area":"lr"},{"id":"2402.04178","title":"SHIELD : An Evaluation Benchmark for Face Spoofing and Forgery Detection with Multimodal Large Language Models","created":"2024-02-06","cited_by_count":40,"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":"2407.05355","title":"VideoCoT: A Video Chain-of-Thought Dataset with Active Annotation Tool","created":"2024-07-07","cited_by_count":35,"area":"lr"},{"id":"2402.06118","title":"ViGoR: Improving Visual Grounding of Large Vision Language Models with Fine-Grained Reward Modeling","created":"2024-02-09","cited_by_count":34,"area":"lr"},{"id":"2507.05255","title":"Open Vision Reasoner: Transferring Linguistic Cognitive Behavior for Visual Reasoning","created":"2025-07-07","cited_by_count":34,"area":"lr"},{"id":"2312.17448","title":"Tracking with Human-Intent Reasoning","created":"2023-12-29","cited_by_count":33,"area":"lr"},{"id":"2407.15680","title":"HaloQuest: A Visual Hallucination Dataset for Advancing Multimodal Reasoning","created":"2024-07-22","cited_by_count":32,"area":"lr"},{"id":"2312.02433","title":"Lenna: Language Enhanced Reasoning Detection Assistant","created":"2023-12-05","cited_by_count":29,"area":"lr"},{"id":"2311.01487","title":"What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning","created":"2023-11-02","cited_by_count":28,"area":"lr"},{"id":"2405.17427","title":"Reason3D: Searching and Reasoning 3D Segmentation via Large Language Model","created":"2024-05-27","cited_by_count":28,"area":"lr"},{"id":"2406.19237","title":"FlowVQA: Mapping Multimodal Logic in Visual Question Answering with Flowcharts","created":"2024-06-27","cited_by_count":28,"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":"2310.19301","title":"ROME: Evaluating Pre-trained Vision-Language Models on Reasoning beyond Visual Common Sense","created":"2023-10-30","cited_by_count":27,"area":"lr"},{"id":"2410.19744","title":"Towards Next-Generation LLM-based Recommender Systems: A Survey and Beyond","created":"2024-10-10","cited_by_count":26,"area":"lr"},{"id":"2404.05673","title":"CoReS: Orchestrating the Dance of Reasoning and Segmentation","created":"2024-04-08","cited_by_count":25,"area":"lr"},{"id":"2410.18923","title":"SegLLM: Multi-round Reasoning Segmentation","created":"2024-10-24","cited_by_count":25,"area":"lr"},{"id":"2504.12597","title":"GeoSense: Evaluating Identification and Application of Geometric Principles in Multimodal Reasoning","created":"2025-04-17","cited_by_count":25,"area":"lr"},{"id":"2401.11943","title":"Benchmarking Large Multimodal Models against Common Corruptions","created":"2024-01-22","cited_by_count":24,"area":"lr"},{"id":"2407.14500","title":"ViLLa: Video Reasoning Segmentation with Large Language Model","created":"2024-07-18","cited_by_count":24,"area":"lr"},{"id":"2502.16161","title":"OmniParser V2: Structured-Points-of-Thought for Unified Visual Text Parsing and Its Generality to Multimodal Large Language Models","created":"2025-02-22","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":"2410.14702","title":"Polymath: A Challenging Multi-modal Mathematical Reasoning Benchmark","created":"2024-10-06","cited_by_count":22,"area":"lr"},{"id":"2412.00161","title":"STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self-Training","created":"2024-11-29","cited_by_count":22,"area":"lr"},{"id":"2409.13729","title":"MathGLM-Vision: Solving Mathematical Problems with Multi-Modal Large Language Model","created":"2024-09-10","cited_by_count":21,"area":"lr"},{"id":"2401.13311","title":"ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models","created":"2024-01-24","cited_by_count":19,"area":"lr"},{"id":"2403.11236","title":"ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization","created":"2024-03-17","cited_by_count":19,"area":"lr"},{"id":"2503.12972","title":"Aligning Vision to Language: Annotation-Free Multimodal Knowledge Graph Construction for Enhanced LLMs Reasoning","created":"2025-03-17","cited_by_count":19,"area":"lr"},{"id":"2509.24322","title":"Multimodal Large Language Models Meet Multimodal Emotion Recognition and Reasoning: A Survey","created":"2025-09-29","cited_by_count":19,"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":"2409.02834","title":"CMM-Math: A Chinese Multimodal Math Dataset To Evaluate and Enhance the Mathematics Reasoning of Large Multimodal Models","created":"2024-09-04","cited_by_count":18,"area":"lr"},{"id":"2406.19934","title":"From the Least to the Most: Building a Plug-and-Play Visual Reasoner via Data Synthesis","created":"2024-06-28","cited_by_count":17,"area":"lr"},{"id":"2407.02352","title":"Pelican: Correcting Hallucination in Vision-LLMs via Claim Decomposition and Program of Thought Verification","created":"2024-07-02","cited_by_count":17,"area":"lr"},{"id":"2408.11397","title":"EAGLE: Elevating Geometric Reasoning through LLM-empowered Visual Instruction Tuning","created":"2024-08-21","cited_by_count":16,"area":"lr"},{"id":"2504.20091","title":"VideoMultiAgents: A Multi-Agent Framework for Video Question Answering","created":"2025-04-25","cited_by_count":16,"area":"lr"},{"id":"2406.11288","title":"MFC-Bench: Benchmarking Multimodal Fact-Checking with Large Vision-Language Models","created":"2024-06-17","cited_by_count":15,"area":"lr"},{"id":"2409.02828","title":"ExpLLM: Towards Chain of Thought for Facial Expression Recognition","created":"2024-09-04","cited_by_count":15,"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":"2401.01974","title":"Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as Programmers","created":"2024-01-03","cited_by_count":14,"area":"lr"},{"id":"2502.12359","title":"LanP: Rethinking the Impact of Language Priors in Large Vision-Language Models","created":"2025-02-17","cited_by_count":14,"area":"lr"},{"id":"2409.13730","title":"VisScience: An Extensive Benchmark for Evaluating K12 Educational Multi-modal Scientific Reasoning","created":"2024-09-10","cited_by_count":13,"area":"lr"},{"id":"2410.10370","title":"Innovative Thinking, Infinite Humor: Humor Research of Large Language Models through Structured Thought Leaps","created":"2024-10-14","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":"2508.01181","title":"Benchmarking and Bridging Emotion Conflicts for Multimodal Emotion Reasoning","created":"2025-08-02","cited_by_count":12,"area":"lr"},{"id":"2504.12795","title":"EarthGPT-X: A Spatial MLLM for Multi-level Multi-Source Remote Sensing Imagery Understanding with Visual Prompting","created":"2025-04-17","cited_by_count":11,"area":"lr"},{"id":"2507.07424","title":"Corvid: Improving Multimodal Large Language Models Towards Chain-of-Thought Reasoning","created":"2025-07-10","cited_by_count":11,"area":"lr"},{"id":"2501.15147","title":"A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models","created":"2025-01-25","cited_by_count":10,"area":"lr"},{"id":"2505.08468","title":"Judging the Judges: Can Large Vision-Language Models Fairly Evaluate Chart Comprehension and Reasoning?","created":"2025-05-13","cited_by_count":10,"area":"lr"},{"id":"2503.23219","title":"Aurelia: Test-time Reasoning Distillation in Audio-Visual LLMs","created":"2025-03-29","cited_by_count":9,"area":"lr"},{"id":"2508.04852","title":"VER-Bench: Evaluating MLLMs on Reasoning with Fine-Grained Visual Evidence","created":"2025-08-06","cited_by_count":9,"area":"lr"},{"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":"2505.24872","title":"ProxyThinker: Test-Time Guidance through Small Visual Reasoners","created":"2025-05-30","cited_by_count":8,"area":"lr"},{"id":"2507.09491","title":"GLIMPSE: Do Large Vision-Language Models Truly Think With Videos or Just Glimpse at Them?","created":"2025-07-13","cited_by_count":8,"area":"lr"},{"id":"2410.04107","title":"TUBench: Benchmarking Large Vision-Language Models on Trustworthiness with Unanswerable Questions","created":"2024-10-05","cited_by_count":7,"area":"lr"},{"id":"2503.07503","title":"Think Before You Segment: High-Quality Reasoning Segmentation with GPT Chain of Thoughts","created":"2025-03-10","cited_by_count":7,"area":"lr"},{"id":"2506.23120","title":"Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation","created":"2025-06-29","cited_by_count":6,"area":"lr"},{"id":"2512.00305","title":"ChartPoint: Guiding MLLMs with Grounding Reflection for Chart Reasoning","created":"2025-11-29","cited_by_count":6,"area":"lr"},{"id":"2601.04897","title":"V-FAT: Benchmarking Visual Fidelity Against Text-bias","created":"2026-01-08","cited_by_count":6,"area":"lr"},{"id":"2310.13473","title":"Benchmarking Sequential Visual Input Reasoning and Prediction in Multimodal Large Language Models","created":"2023-10-20","cited_by_count":5,"area":"lr"},{"id":"2401.08025","title":"Self-Imagine: Effective Unimodal Reasoning with Multimodal Models using Self-Imagination","created":"2024-01-16","cited_by_count":5,"area":"lr"},{"id":"2408.03160","title":"User-in-the-loop Evaluation of Multimodal LLMs for Activity Assistance","created":"2024-08-04","cited_by_count":5,"area":"lr"},{"id":"2408.12321","title":"MaVEn: An Effective Multi-granularity Hybrid Visual Encoding Framework for Multimodal Large Language Model","created":"2024-08-22","cited_by_count":5,"area":"lr"},{"id":"2409.12953","title":"JourneyBench: A Challenging One-Stop Vision-Language Understanding Benchmark of Generated Images","created":"2024-09-19","cited_by_count":5,"area":"lr"}],"next_cursor":"100"}