{"total":27,"rows":[{"id":"2406.07057","title":"MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models","created":"2024-06-11","cited_by_count":53,"area":"mllm"},{"id":"2406.11171","title":"SUGARCREPE++ Dataset: Vision-Language Model Sensitivity to Semantic and Lexical Alterations","created":"2024-06-17","cited_by_count":42,"area":"mllm"},{"id":"2411.04118","title":"Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress?","created":"2024-11-06","cited_by_count":28,"area":"mllm"},{"id":"2405.01474","title":"Understanding Figurative Meaning through Explainable Visual Entailment","created":"2024-05-02","cited_by_count":19,"area":"mllm"},{"id":"2411.13451","title":"AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations","created":"2024-11-20","cited_by_count":19,"area":"mllm"},{"id":"2409.18023","title":"DARE: Diverse Visual Question Answering with Robustness Evaluation","created":"2024-09-26","cited_by_count":6,"area":"mllm"},{"id":"2503.12149","title":"Seeing Sarcasm Through Different Eyes: Analyzing Multimodal Sarcasm Perception in Large Vision-Language Models","created":"2025-03-15","cited_by_count":4,"area":"mllm"},{"id":"2505.15075","title":"Traveling Across Languages: Benchmarking Cross-Lingual Consistency in Multimodal LLMs","created":"2025-05-21","cited_by_count":3,"area":"mllm"},{"id":"2506.14808","title":"PARC: A Quantitative Framework Uncovering the Symmetries within Vision Language Models","created":"2025-06-03","cited_by_count":3,"area":"mllm"},{"id":"2607.24354","title":"Are Prompt Optimizers Blind? Cross-Modal Visual Feedback for Automatic Prompt Optimization","created":"2026-07-27","cited_by_count":2,"area":"mllm"},{"id":"2406.18589","title":"Text-Guided Alternative Image Clustering","created":"2024-06-07","cited_by_count":1,"area":"mllm"},{"id":"2409.11007","title":"CAST: Cross-modal Alignment Similarity Test for Vision Language Models","created":"2024-09-17","cited_by_count":1,"area":"mllm"},{"id":"2412.08307","title":"Investigating the Scaling Effect of Instruction Templates for Training Multimodal Language Model","created":"2024-12-11","cited_by_count":1,"area":"mllm"},{"id":"2512.07302","title":"Towards Accurate UAV Image Perception: Guiding Vision-Language Models with Stronger Task Prompts","created":"2025-12-08","cited_by_count":1,"area":"mllm"},{"id":"2602.15278","title":"Visual Persuasion: What Influences Decisions of Vision-Language Models?","created":"2026-02-17","cited_by_count":1,"area":"mllm"},{"id":"2603.15134","title":"Confusion-Aware In-Context-Learning for Vision-Language Models in Robotic Manipulation","created":"2026-03-16","cited_by_count":1,"area":"mllm"},{"id":"2609.22588","title":"Seeing is not Enough: Vision-Language Models Perceive Evidence but Fail to Act","created":"2026-09-18","cited_by_count":1,"area":"mllm"},{"id":"2410.18071","title":"TP-Eval: Tap Multimodal LLMs' Potential in Evaluation by Customizing Prompts","created":"2024-10-23","cited_by_count":0,"area":"mllm"},{"id":"2411.12287","title":"CUE-M: Contextual Understanding and Enhanced Search with Multimodal Large Language Model","created":"2024-11-19","cited_by_count":0,"area":"mllm"},{"id":"2604.01181","title":"True (VIS) Lies: Analyzing How Generative AI Recognizes Intentionality, Rhetoric, and Misleadingness in Visualization Lies","created":"2026-04-01","cited_by_count":0,"area":"mllm"},{"id":"2604.09841","title":"Is There Knowledge Left to Extract? Evidence of Fragility in Medically Fine-Tuned Vision-Language Models","created":"2026-04-10","cited_by_count":0,"area":"mllm"},{"id":"2605.18194","title":"Beyond the Cartesian Illusion: Testing Two-Stage Multi-Modal Theory of Mind under Perceptual Bottlenecks","created":"2026-05-18","cited_by_count":0,"area":"mllm"},{"id":"2608.14797","title":"Beyond Tokens: A Survey on Decoding Methods for Large Language and Vision-Language Models","created":"2026-08-14","cited_by_count":0,"area":"mllm"},{"id":"2608.30210","title":"Frontier vision-language models have overtaken young adults at detecting AI-generated portraits -- but not their calibration","created":"2026-08-31","cited_by_count":0,"area":"mllm"},{"id":"2609.04336","title":"MedProb: Probing Internal Representations of Vision-Language Models for Medical Question Answering","created":"2026-09-03","cited_by_count":0,"area":"mllm"},{"id":"2609.20139","title":"Cross-Modal Attention Acts as a Frequency Filter: Why Verbose Prompts Improve Robustness in Vision-Language Models","created":"2026-09-17","cited_by_count":0,"area":"mllm"},{"id":"2610.17989","title":"Seeing Through the Forgery Is Not Enough: Regressive Sycophancy under Fabricated Evidence in Medical Vision-Language Models","created":"2026-10-13","cited_by_count":0,"area":"mllm"}],"next_cursor":null}