{"total":16,"rows":[{"id":"2602.02951","title":"N\\\"uwa: Mending the Spatial Integrity Torn by VLM Token Pruning","created":"2026-02-03","cited_by_count":15,"area":"mllm"},{"id":"2602.07574","title":"ViCA: Efficient Multimodal LLMs with Vision-Only Cross-Attention","created":"2026-02-07","cited_by_count":10,"area":"mllm"},{"id":"2508.17807","title":"Attention Debiasing for Token Pruning in Vision Language Models","created":"2025-08-25","cited_by_count":4,"area":"mllm"},{"id":"2602.15318","title":"Sparrow: Text-Anchored Window Attention with Visual-Semantic Glimpsing for Speculative Decoding in Video LLMs","created":"2026-02-17","cited_by_count":4,"area":"mllm"},{"id":"2507.20842","title":"METEOR: Multi-Encoder Collaborative Token Pruning for Efficient Vision Language Models","created":"2025-07-28","cited_by_count":3,"area":"mllm"},{"id":"2604.15809","title":"Aligning What Vision-Language Models See and Perceive with Adaptive Information Flow","created":"2026-04-17","cited_by_count":3,"area":"mllm"},{"id":"2605.24602","title":"Correcting Visual Blur Induced by Attention Distraction to Reduce Hallucinations: Algorithm and Theory","created":"2026-05-23","cited_by_count":3,"area":"mllm"},{"id":"2606.12412","title":"Reroute, Don't Remove: Recoverable Visual Token Routing for Vision-Language Models","created":"2026-06-10","cited_by_count":3,"area":"mllm"},{"id":"2509.12897","title":"Cross-Layer Vision Smoothing: Enhancing Visual Understanding via Sustained Focus on Key Objects in Large Vision-Language Models","created":"2025-09-16","cited_by_count":2,"area":"mllm"},{"id":"2604.03072","title":"MI-Pruner: Crossmodal Mutual Information-guided Token Pruner for Efficient MLLMs","created":"2026-04-03","cited_by_count":2,"area":"mllm"},{"id":"2604.01280","title":"Look Twice: Training-Free Evidence Highlighting for Knowledge-based Visual Question Answering","created":"2026-04-01","cited_by_count":1,"area":"mllm"},{"id":"2605.14621","title":"Do We Really Need External Tools to Mitigate Hallucinations? SIRA: Shared-Prefix Internal Reconstruction of Attribution","created":"2026-05-14","cited_by_count":1,"area":"mllm"},{"id":"2606.14277","title":"One Layer's Trash is Another Layer's Treasure: Adaptive Layer-wise Visual Token Selection in LVLMs","created":"2026-06-12","cited_by_count":1,"area":"mllm"},{"id":"2606.17953","title":"MLLMs Get It Right, Then Get It Wrong: Tracing and Correcting Late-Layer Textual Bias","created":"2026-06-16","cited_by_count":0,"area":"mllm"},{"id":"2607.03738","title":"Attending to Multimodal Generation One Token at a Time","created":"2026-07-04","cited_by_count":0,"area":"mllm"},{"id":"2607.25818","title":"SepPrune:A Separator-based Pruning Framework for Efficient Multimodal Large Language Models","created":"2026-07-28","cited_by_count":0,"area":"mllm"}],"next_cursor":null}