{"total":14,"rows":[{"id":"2511.14159","title":"MVI-Bench: A Comprehensive Benchmark for Evaluating Robustness to Misleading Visual Inputs in LVLMs","created":"2025-11-18","cited_by_count":15,"area":"mllm"},{"id":"2509.23050","title":"Understanding Language Prior of LVLMs by Contrasting Chain-of-Embedding","created":"2025-09-27","cited_by_count":14,"area":"mllm"},{"id":"2604.28123","title":"Beyond SFT-to-RL: Pre-alignment via Black-Box On-Policy Distillation for Multimodal RL","created":"2026-04-30","cited_by_count":8,"area":"mllm"},{"id":"2605.29341","title":"WorldMemArena: Evaluating Multimodal Agent Memory Through Action-World Interaction","created":"2026-05-28","cited_by_count":7,"area":"mllm"},{"id":"2605.05668","title":"Large Vision-Language Models Get Lost in Attention","created":"2026-05-07","cited_by_count":5,"area":"mllm"},{"id":"2605.30912","title":"Attend to Evidence: Evidence-Anchored Spatial Attention Supervision for Multimodal RLVR","created":"2026-05-29","cited_by_count":4,"area":"mllm"},{"id":"2601.06224","title":"Ground What You See: Hallucination-Resistant MLLMs via Caption Feedback, Diversity-Aware Sampling, and Conflict Regularization","created":"2026-01-09","cited_by_count":3,"area":"mllm"},{"id":"2602.13600","title":"SAVAA: Mitigating Hallucinations in LVLMs via Step-wise Adaptive Visual Attention Amplification","created":"2026-02-14","cited_by_count":2,"area":"mllm"},{"id":"2604.06422","title":"When to Call an Apple Red: Humans Follow Introspective Rules, VLMs Don't","created":"2026-04-07","cited_by_count":1,"area":"mllm"},{"id":"2608.10949","title":"StreamFlow: Dynamic Memory Flows for Streaming Video Understanding","created":"2026-08-11","cited_by_count":1,"area":"mllm"},{"id":"2604.03302","title":"Beyond Static Vision: Scene Dynamic Field Unlocks Intuitive Physics Understanding in Multi-modal Large Language Models","created":"2026-03-30","cited_by_count":0,"area":"mllm"},{"id":"2605.18603","title":"Starve to Perceive: Taming Lazy Perception in VLMs with Constrained Visual Bandwidth","created":"2026-05-18","cited_by_count":0,"area":"mllm"},{"id":"2607.18673","title":"MissingBench-Verified: Probing Vision-Language Models' Inability to Detect Missing Object Parts","created":"2026-07-21","cited_by_count":0,"area":"mllm"},{"id":"2608.01930","title":"Recompute or Reuse? Diagnosing and Mitigating Textual Shortcuts in VLM Self-Reflection","created":"2026-08-03","cited_by_count":0,"area":"mllm"}],"next_cursor":null}