{"total":30,"rows":[{"id":"2403.06764","title":"An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models","created":"2024-03-11","cited_by_count":642,"area":"mllm"},{"id":"2311.17911","title":"OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation","created":"2023-11-29","cited_by_count":478,"area":"mllm"},{"id":"2407.21771","title":"Paying More Attention to Image: A Training-Free Method for Alleviating Hallucination in LVLMs","created":"2024-07-31","cited_by_count":179,"area":"mllm"},{"id":"2402.11574","title":"Visual In-Context Learning for Large Vision-Language Models","created":"2024-02-18","cited_by_count":128,"area":"mllm"},{"id":"2410.11779","title":"MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation","created":"2024-10-15","cited_by_count":88,"area":"mllm"},{"id":"2503.06287","title":"Your Large Vision-Language Model Only Needs A Few Attention Heads For Visual Grounding","created":"2025-03-08","cited_by_count":83,"area":"mllm"},{"id":"2502.03628","title":"The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models via Visual Information Steering","created":"2025-02-05","cited_by_count":66,"area":"mllm"},{"id":"2411.09968","title":"Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs","created":"2024-11-15","cited_by_count":52,"area":"mllm"},{"id":"2504.04633","title":"M$^2$IV: Towards Efficient and Fine-grained Multimodal In-Context Learning via Representation Engineering","created":"2025-04-06","cited_by_count":35,"area":"mllm"},{"id":"2407.15130","title":"DOPRA: Decoding Over-accumulation Penalization and Re-allocation in Specific Weighting Layer","created":"2024-07-21","cited_by_count":27,"area":"mllm"},{"id":"2503.13108","title":"Lifting the Veil on Visual Information Flow in MLLMs: Unlocking Pathways to Faster Inference","created":"2025-03-17","cited_by_count":23,"area":"mllm"},{"id":"2505.17097","title":"Make LVLMs Focus: Context-Aware Attention Modulation for Better Multimodal In-Context Learning","created":"2025-05-21","cited_by_count":19,"area":"mllm"},{"id":"2501.15269","title":"Mirage in the Eyes: Hallucination Attack on Multi-modal Large Language Models with Only Attention Sink","created":"2025-01-25","cited_by_count":15,"area":"mllm"},{"id":"2404.12866","title":"How Does the Textual Information Affect the Retrieval of Multimodal In-Context Learning?","created":"2024-04-19","cited_by_count":13,"area":"mllm"},{"id":"2507.09184","title":"MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models","created":"2025-07-12","cited_by_count":12,"area":"mllm"},{"id":"2411.10950","title":"Understanding Multimodal LLMs: the Mechanistic Interpretability of Llava in Visual Question Answering","created":"2024-11-17","cited_by_count":11,"area":"mllm"},{"id":"2408.11795","title":"EE-MLLM: A Data-Efficient and Compute-Efficient Multimodal Large Language Model","created":"2024-08-21","cited_by_count":10,"area":"mllm"},{"id":"2509.17588","title":"Interpreting Attention Heads for Image-to-Text Information Flow in Large Vision-Language Models","created":"2025-09-22","cited_by_count":9,"area":"mllm"},{"id":"2601.20279","title":"Hallucination Begins Where Saliency Drops","created":"2026-01-28","cited_by_count":9,"area":"mllm"},{"id":"2601.20520","title":"Context Tokens are Anchors: Understanding the Repetition Curse in dMLLMs from an Information Flow Perspective","created":"2026-01-28","cited_by_count":6,"area":"mllm"},{"id":"2601.20796","title":"Dissecting Multimodal In-Context Learning: Modality Asymmetries and Circuit Dynamics in modern Transformers","created":"2026-01-28","cited_by_count":5,"area":"mllm"},{"id":"2406.07588","title":"AIM: Let Any Multi-modal Large Language Models Embrace Efficient In-Context Learning","created":"2024-06-11","cited_by_count":4,"area":"mllm"},{"id":"2501.10967","title":"Advancing General Multimodal Capability of Vision-language Models with Pyramid-descent Visual Position Encoding","created":"2025-01-19","cited_by_count":4,"area":"mllm"},{"id":"2505.07251","title":"Incomplete In-context Learning","created":"2025-05-12","cited_by_count":2,"area":"mllm"},{"id":"2505.21106","title":"Interpreting Social Bias in LVLMs via Information Flow Analysis and Multi-Round Dialogue Evaluation","created":"2025-05-27","cited_by_count":1,"area":"mllm"},{"id":"2510.02528","title":"Multimodal Function Vectors for Visual Relations","created":"2025-10-02","cited_by_count":1,"area":"mllm"},{"id":"2603.12760","title":"HIFICL: High-Fidelity In-Context Learning for Multimodal Tasks","created":"2026-03-13","cited_by_count":1,"area":"mllm"},{"id":"2605.27243","title":"Can Retrieval Heads See Images? Multimodal Retrieval Heads in Long-Context Vision-Language Models","created":"2026-05-26","cited_by_count":1,"area":"mllm"},{"id":"2609.33659","title":"Learning Multimodal Embeddings with Evidence-Aligned Readout","created":"2026-09-27","cited_by_count":1,"area":"mllm"},{"id":"2605.01827","title":"Referring Multiple Regions with Large Multimodal Models via Contextual Latent Steering","created":"2026-05-03","cited_by_count":0,"area":"mllm"}],"next_cursor":null}