{"total":35,"rows":[{"id":"2506.03569","title":"MiMo-VL Technical Report","created":"2025-06-04","cited_by_count":115,"area":"lr"},{"id":"2506.17267","title":"CF-VLM:CounterFactual Vision-Language Fine-tuning","created":"2025-06-10","cited_by_count":59,"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":"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":"2408.04810","title":"UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling","created":"2024-08-09","cited_by_count":31,"area":"lr"},{"id":"2407.17773","title":"KiVA: Kid-inspired Visual Analogies for Testing Large Multimodal Models","created":"2024-07-25","cited_by_count":24,"area":"lr"},{"id":"2410.18976","title":"CAMEL-Bench: A Comprehensive Arabic LMM Benchmark","created":"2024-10-24","cited_by_count":17,"area":"lr"},{"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":"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":"2411.05195","title":"Exploring How Generative MLLMs Perceive More Than CLIP with the Same Vision Encoder","created":"2024-11-07","cited_by_count":11,"area":"lr"},{"id":"2510.19555","title":"[De|Re]constructing VLMs' Reasoning in Counting","created":"2025-10-22","cited_by_count":6,"area":"lr"},{"id":"2410.05928","title":"Beyond Captioning: Task-Specific Prompting for Improved VLM Performance in Mathematical Reasoning","created":"2024-10-08","cited_by_count":5,"area":"lr"},{"id":"2505.20021","title":"Decomposing Complex Visual Comprehension into Atomic Visual Skills for Vision Language Models","created":"2025-05-26","cited_by_count":4,"area":"lr"},{"id":"2601.16520","title":"TangramPuzzle: Evaluating Multimodal Large Language Models with Compositional Spatial Reasoning","created":"2026-01-23","cited_by_count":4,"area":"lr"},{"id":"2606.06538","title":"WorldBench: A Challenging and Visually Diverse Multimodal Reasoning Benchmark","created":"2026-06-04","cited_by_count":4,"area":"lr"},{"id":"2509.22737","title":"CompareBench: A Benchmark for Visual Comparison Reasoning in Vision-Language Models","created":"2025-09-25","cited_by_count":3,"area":"lr"},{"id":"2603.18523","title":"Counting Circuits: Mechanistic Interpretability of Visual Reasoning in Large Vision-Language Models","created":"2026-03-19","cited_by_count":3,"area":"lr"},{"id":"2607.22043","title":"Scaling Native Multimodal Pre-Training From Scratch","created":"2026-07-24","cited_by_count":3,"area":"lr"},{"id":"2608.08021","title":"Evidence-RL: Towards Evidence-intensive Visual Reasoning","created":"2026-08-08","cited_by_count":3,"area":"lr"},{"id":"2509.02175","title":"Understanding Space Is Rocket Science -- Only Top Reasoning Models Can Solve Spatial Understanding Tasks","created":"2025-09-02","cited_by_count":1,"area":"lr"},{"id":"2602.15950","title":"Can Vision-Language Models See Squares? Text-Recognition Mediates Spatial Reasoning Across Three Model Families","created":"2026-02-17","cited_by_count":1,"area":"lr"},{"id":"2605.17826","title":"CounterCount: A Diagnostic Framework for Counting Bias in Vision Language Models","created":"2026-05-18","cited_by_count":1,"area":"lr"},{"id":"2606.09290","title":"Visual Para-Thinker++: A Single-Policy Multi-Agent Framework for Visual Reasoning","created":"2026-06-08","cited_by_count":1,"area":"lr"},{"id":"2607.06420","title":"HoloCount: A Holistic Visual Counting Benchmark for MLLMs","created":"2026-07-07","cited_by_count":1,"area":"lr"},{"id":"2607.19790","title":"Trace: A Taxonomy-Guided Environment for Multidomain Visual Reasoning","created":"2026-07-22","cited_by_count":1,"area":"lr"},{"id":"2608.01055","title":"Credit the Right Box: Marginal Contribution Assignment for Structured Visual Perception","created":"2026-08-02","cited_by_count":1,"area":"lr"},{"id":"2610.01352","title":"MMVistaReason: Toward Open-Data and Post-Training Recipes for Multimodal Reasoning","created":"2026-10-01","cited_by_count":1,"area":"lr"},{"id":"2610.01687","title":"Architectural Sampling: Test-Time Scaling via Computational Diversity in Frozen Vision-Language Models","created":"2026-10-01","cited_by_count":1,"area":"lr"},{"id":"2504.06618","title":"Human-like compositional learning of visually-grounded concepts using synthetic environments","created":"2025-04-09","cited_by_count":0,"area":"lr"},{"id":"2510.22282","title":"CityRiSE: Reasoning Urban Socio-Economic Status in Large Vision-Language Models via Reinforcement Learning","created":"2025-10-25","cited_by_count":0,"area":"lr"},{"id":"2602.13310","title":"Visual Para-Thinker: Divide-and-Conquer Reasoning for Visual Comprehension","created":"2026-02-10","cited_by_count":0,"area":"lr"},{"id":"2603.21746","title":"Getting to the Point: Pointing Improves LVLMs at Counting","created":"2026-03-23","cited_by_count":0,"area":"lr"},{"id":"2608.29374","title":"Think, Look, and Revise: Inconsistency-Aware Visual Self-Correction in MLLMs","created":"2026-08-29","cited_by_count":0,"area":"lr"},{"id":"2609.25841","title":"Metric-Bench: Exploring In-context Spatial Metric Reasoning in VLMs for Indoor Scenes","created":"2026-09-22","cited_by_count":0,"area":"lr"},{"id":"2609.29601","title":"Free the Language Model From the Vision Encoder: Semantic Serialization as a Perception Interface for Small Language Models","created":"2026-08-29","cited_by_count":0,"area":"lr"}],"next_cursor":null}