{"total":19,"rows":[{"id":"2412.05271","title":"Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling","created":"2024-12-06","cited_by_count":1599,"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":"2505.23766","title":"Argus: Vision-Centric Reasoning with Grounded Chain-of-Thought","created":"2025-05-29","cited_by_count":27,"area":"lr"},{"id":"2410.11087","title":"Locality Alignment Improves Vision-Language Models","created":"2024-10-14","cited_by_count":13,"area":"lr"},{"id":"2603.02556","title":"Through the Lens of Contrast: Self-Improving Visual Reasoning in VLMs","created":"2026-03-03","cited_by_count":10,"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":"2510.13394","title":"Spatial-DISE: A Unified Benchmark for Evaluating Spatial Reasoning in Vision-Language Models","created":"2025-10-15","cited_by_count":9,"area":"lr"},{"id":"2403.18252","title":"Beyond Embeddings: The Promise of Visual Table in Visual Reasoning","created":"2024-03-27","cited_by_count":5,"area":"lr"},{"id":"2405.11850","title":"Rethinking Overlooked Aspects in Vision-Language Models","created":"2024-05-20","cited_by_count":4,"area":"lr"},{"id":"2505.09118","title":"Seeing Beyond the Scene: Enhancing Vision-Language Models with Interactional Reasoning","created":"2025-05-14","cited_by_count":4,"area":"lr"},{"id":"2507.22003","title":"See Different, Think Better: Visual Variations Mitigating Hallucinations in LVLMs","created":"2025-07-29","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":"2501.03675","title":"SMIR: Efficient Synthetic Data Pipeline To Improve Multi-Image Reasoning","created":"2025-01-07","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":"2506.00806","title":"Fast or Slow? Integrating Fast Intuition and Deliberate Thinking for Enhancing Visual Question Answering","created":"2025-06-01","cited_by_count":3,"area":"lr"},{"id":"2511.10301","title":"Rethinking Visual Information Processing in Multimodal LLMs","created":"2025-11-13","cited_by_count":2,"area":"lr"},{"id":"2510.08567","title":"MATRIX: Multimodal Agent Tuning for Robust Tool-Use Reasoning","created":"2025-10-09","cited_by_count":1,"area":"lr"},{"id":"2505.07172","title":"Critique Before Thinking: Mitigating Hallucination through Rationale-Augmented Instruction Tuning","created":"2025-05-12","cited_by_count":0,"area":"lr"},{"id":"2610.08830","title":"MoR-MLLM: Mixture of Recursions for Efficient Multimodal Large Language Models","created":"2026-09-27","cited_by_count":0,"area":"lr"}],"next_cursor":null}