{"total":63,"rows":[{"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":"2504.01805","title":"SpaceR: Reinforcing MLLMs in Video Spatial Reasoning","created":"2025-04-02","cited_by_count":159,"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":"2309.04669","title":"Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization","created":"2023-09-09","cited_by_count":87,"area":"lr"},{"id":"2406.11200","title":"AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning","created":"2024-06-17","cited_by_count":72,"area":"lr"},{"id":"2305.18583","title":"Controllable Text-to-Image Generation with GPT-4","created":"2023-05-29","cited_by_count":59,"area":"lr"},{"id":"2503.12799","title":"Grounded Chain-of-Thought for Multimodal Large Language Models","created":"2025-03-17","cited_by_count":59,"area":"lr"},{"id":"2203.15442","title":"Shifting More Attention to Visual Backbone: Query-modulated Refinement Networks for End-to-End Visual Grounding","created":"2022-03-29","cited_by_count":53,"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":"2506.22624","title":"Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning","created":"2025-06-27","cited_by_count":44,"area":"lr"},{"id":"2510.05014","title":"Think Then Embed: Generative Context Improves Multimodal Embedding","created":"2025-10-06","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":"2402.13254","title":"CounterCurate: Enhancing Physical and Semantic Visio-Linguistic Compositional Reasoning via Counterfactual Examples","created":"2024-02-20","cited_by_count":35,"area":"lr"},{"id":"2512.08228","title":"MM-CoT:A Benchmark for Probing Visual Chain-of-Thought Reasoning in Multimodal Models","created":"2025-12-09","cited_by_count":34,"area":"lr"},{"id":"2401.14011","title":"CMMU: A Benchmark for Chinese Multi-modal Multi-type Question Understanding and Reasoning","created":"2024-01-25","cited_by_count":31,"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":"2302.00389","title":"Multimodality Representation Learning: A Survey on Evolution, Pretraining and Its Applications","created":"2023-02-01","cited_by_count":27,"area":"lr"},{"id":"2207.12576","title":"WinoGAViL: Gamified Association Benchmark to Challenge Vision-and-Language Models","created":"2022-07-25","cited_by_count":20,"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":"2311.17126","title":"Reason out Your Layout: Evoking the Layout Master from Large Language Models for Text-to-Image Synthesis","created":"2023-11-28","cited_by_count":16,"area":"lr"},{"id":"2205.00949","title":"Answer-Me: Multi-Task Open-Vocabulary Visual Question Answering","created":"2022-05-02","cited_by_count":12,"area":"lr"},{"id":"2503.08308","title":"Seeing and Reasoning with Confidence: Supercharging Multimodal LLMs with an Uncertainty-Aware Agentic Framework","created":"2025-03-11","cited_by_count":12,"area":"lr"},{"id":"2507.03483","title":"BMMR: A Large-Scale Bilingual Multimodal Multi-Discipline Reasoning Dataset","created":"2025-07-04","cited_by_count":12,"area":"lr"},{"id":"2512.19683","title":"From Indoor to Open World: Revealing the Spatial Reasoning Gap in MLLMs","created":"2025-12-22","cited_by_count":12,"area":"lr"},{"id":"2305.04530","title":"A Multi-Modal Context Reasoning Approach for Conditional Inference on Joint Textual and Visual Clues","created":"2023-05-08","cited_by_count":11,"area":"lr"},{"id":"2512.17319","title":"A Benchmark for Ultra-High-Resolution Remote Sensing MLLMs","created":"2025-12-19","cited_by_count":11,"area":"lr"},{"id":"2410.09489","title":"Towards Efficient Visual-Language Alignment of the Q-Former for Visual Reasoning Tasks","created":"2024-10-12","cited_by_count":9,"area":"lr"},{"id":"2505.15616","title":"LENS: Multi-level Evaluation of Multimodal Reasoning with Large Language Models","created":"2025-05-21","cited_by_count":9,"area":"lr"},{"id":"2507.02859","title":"Bootstrapping Grounded Chain-of-Thought in Multimodal LLMs for Data-Efficient Model Adaptation","created":"2025-07-03","cited_by_count":9,"area":"lr"},{"id":"2601.22155","title":"UEval: A Benchmark for Unified Multimodal Generation","created":"2026-01-29","cited_by_count":9,"area":"lr"},{"id":"2312.01598","title":"Good Questions Help Zero-Shot Image Reasoning","created":"2023-12-04","cited_by_count":8,"area":"lr"},{"id":"2509.25851","title":"MuSLR: Multimodal Symbolic Logical Reasoning","created":"2025-09-30","cited_by_count":7,"area":"lr"},{"id":"2512.18910","title":"Delta-LLaVA: Base-then-Specialize Alignment for Token-Efficient Vision-Language Models","created":"2025-12-21","cited_by_count":7,"area":"lr"},{"id":"2604.11789","title":"LMMs Meet Object-Centric Vision: Understanding, Segmentation, Editing and Generation","created":"2026-04-13","cited_by_count":6,"area":"lr"},{"id":"2606.27373","title":"Paying More Attention to Visual Tokens in Self-Evolving Large Multimodal Models","created":"2026-06-25","cited_by_count":6,"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":"2510.06243","title":"CoT Referring: Improving Referring Expression Tasks with Grounded Reasoning","created":"2025-10-03","cited_by_count":5,"area":"lr"},{"id":"2311.12391","title":"From Wrong To Right: A Recursive Approach Towards Vision-Language Explanation","created":"2023-11-21","cited_by_count":4,"area":"lr"},{"id":"2503.00043","title":"VOILA: Evaluation of MLLMs For Perceptual Understanding and Analogical Reasoning","created":"2025-02-25","cited_by_count":4,"area":"lr"},{"id":"2602.20205","title":"OTPrune: Distribution-Aligned Visual Token Pruning via Optimal Transport","created":"2026-02-22","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":"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":"2306.16774","title":"Stop Pre-Training: Adapt Visual-Language Models to Unseen Languages","created":"2023-06-29","cited_by_count":2,"area":"lr"},{"id":"2408.16296","title":"Rethinking Sparse Lexical Representations for Image Retrieval in the Age of Rising Multi-Modal Large Language Models","created":"2024-08-29","cited_by_count":2,"area":"lr"},{"id":"2511.11005","title":"Draft and Refine with Visual Experts","created":"2025-11-14","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":"2210.00858","title":"Enhancing Interpretability and Interactivity in Robot Manipulation: A Neurosymbolic Approach","created":"2022-10-03","cited_by_count":1,"area":"lr"},{"id":"2406.13621","title":"LaMI: Augmenting Large Language Models via Late Multi-Image Fusion","created":"2024-06-19","cited_by_count":1,"area":"lr"},{"id":"2507.21924","title":"MMAT-1M: A Large Reasoning Dataset for Multimodal Agent Tuning","created":"2025-07-29","cited_by_count":1,"area":"lr"},{"id":"2510.13232","title":"What \"Not\" to Detect: Negation-Aware VLMs via Structured Reasoning and Token Merging","created":"2025-10-15","cited_by_count":1,"area":"lr"},{"id":"2607.27959","title":"FiRE: Enhancing MLLMs with Fine-Grained Context Learning for Complex Image Retrieval","created":"2026-07-30","cited_by_count":1,"area":"lr"},{"id":"2506.01795","title":"R2SM: Referring and Reasoning for Selective Masks","created":"2025-06-02","cited_by_count":0,"area":"lr"},{"id":"2512.09092","title":"Explaining the Unseen: Multimodal Vision-Language Reasoning for Situational Awareness in Underground Mining Disasters","created":"2025-12-09","cited_by_count":0,"area":"lr"},{"id":"2602.02408","title":"ReasonEdit: Editing Vision-Language Models using Human Reasoning","created":"2026-02-02","cited_by_count":0,"area":"lr"},{"id":"2604.13710","title":"SLQ: Bridging Modalities via Shared Latent Queries for Retrieval with Frozen MLLMs","created":"2026-04-15","cited_by_count":0,"area":"lr"},{"id":"2605.03927","title":"StateVLM: A State-Aware Vision-Language Model for Robotic Affordance Reasoning","created":"2026-05-05","cited_by_count":0,"area":"lr"},{"id":"2606.23354","title":"Faithful Grounded Visual Reasoning via Learned Proxy-Tokens","created":"2026-06-22","cited_by_count":0,"area":"lr"},{"id":"2606.25491","title":"HG-Bench: A Benchmark for Multi-Page Handwritten Answer-Region Grounding in Automated Homework Assessment","created":"2026-06-24","cited_by_count":0,"area":"lr"},{"id":"2609.07937","title":"TDDN: Text-aligned Diffused DINO Network for Puzzle Understanding","created":"2026-09-07","cited_by_count":0,"area":"lr"},{"id":"2610.05630","title":"Atomic Visual Entailment: Enhancing Zero-Shot Vision-Language Reasoning through Atomic Fact Decomposition and Learned Selection","created":"2026-10-04","cited_by_count":0,"area":"lr"},{"id":"2610.20083","title":"VisualWorldBench: A Fine-Grained Multi-Task Benchmark for Evaluating Visual World Knowledge in MLLMs","created":"2026-10-14","cited_by_count":0,"area":"lr"}],"next_cursor":null}