{"total":14,"rows":[{"id":"2503.10079","title":"Information Density Principle for MLLM Benchmarks","created":"2025-03-13","cited_by_count":9,"area":"mllm"},{"id":"2510.16926","title":"Res-Bench: Benchmarking the Robustness of Multimodal Large Language Models to Dynamic Resolution Input","created":"2025-10-19","cited_by_count":9,"area":"mllm"},{"id":"2509.19018","title":"OmniBridge: Unified Multimodal Understanding, Generation, and Retrieval via Latent Space Alignment","created":"2025-09-23","cited_by_count":5,"area":"mllm"},{"id":"2510.11496","title":"AndesVL Technical Report: An Efficient Mobile-side Multimodal Large Language Model","created":"2025-10-13","cited_by_count":4,"area":"mllm"},{"id":"2511.19032","title":"Diagnosing Corruption-Induced Reliability Failures in Vision-Language Models","created":"2025-11-24","cited_by_count":4,"area":"mllm"},{"id":"2606.00828","title":"RoboStressBench: Benchmarking VLM Robustness to Physical Visual Stress in Embodied Scenes","created":"2026-05-30","cited_by_count":3,"area":"mllm"},{"id":"2512.04032","title":"jina-vlm: Small Multilingual Vision Language Model","created":"2025-12-03","cited_by_count":1,"area":"mllm"},{"id":"2605.15792","title":"Reversing the Flow: Generation-to-Understanding Synergy in Large Multimodal Models","created":"2026-05-15","cited_by_count":1,"area":"mllm"},{"id":"2606.08063","title":"Robust-U1: Can MLLMs Self-Recover Corrupted Visual Content for Robust Understanding?","created":"2026-06-06","cited_by_count":1,"area":"mllm"},{"id":"2603.07769","title":"MedQ-Deg: A Multidimensional Benchmark for Evaluating MLLMs Across Medical Image Quality Degradations","created":"2026-03-08","cited_by_count":0,"area":"mllm"},{"id":"2604.21343","title":"Latent Denoising Improves Visual Alignment in Large Multimodal Models","created":"2026-04-23","cited_by_count":0,"area":"mllm"},{"id":"2605.31312","title":"Learning from Fine-Grained Visual Discrepancies: Mitigating Multimodal Hallucinations via In-Context Visual Contrastive Optimization","created":"2026-05-29","cited_by_count":0,"area":"mllm"},{"id":"2609.25770","title":"Reading Right, Answering Wrong: How Visual Configuration Changes Affect Evidence Use in VLMs","created":"2026-09-22","cited_by_count":0,"area":"mllm"},{"id":"2610.19892","title":"On the Limits of Representation-Based Test-Time Adaptation for Multimodal LLMs","created":"2026-10-14","cited_by_count":0,"area":"mllm"}],"next_cursor":null}