{"total":32,"rows":[{"id":"2409.02889","title":"LongLLaVA: Scaling Multi-modal LLMs to 1000 Images Efficiently via a Hybrid Architecture","created":"2024-09-04","cited_by_count":102,"area":"mllm"},{"id":"2307.09668","title":"Towards A Unified Agent with Foundation Models","created":"2023-07-18","cited_by_count":47,"area":"mllm"},{"id":"2311.07470","title":"Finding and Editing Multi-Modal Neurons in Pre-Trained Transformers","created":"2023-11-13","cited_by_count":36,"area":"mllm"},{"id":"2412.18108","title":"Unveiling Visual Perception in Language Models: An Attention Head Analysis Approach","created":"2024-12-24","cited_by_count":35,"area":"mllm"},{"id":"2311.18021","title":"Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning?","created":"2023-11-29","cited_by_count":34,"area":"mllm"},{"id":"2502.17514","title":"SAE-V: Interpreting Multimodal Models for Enhanced Alignment","created":"2025-02-22","cited_by_count":23,"area":"mllm"},{"id":"2410.22330","title":"Vision-Language Models Create Cross-Modal Task Representations","created":"2024-10-29","cited_by_count":15,"area":"mllm"},{"id":"2505.17670","title":"Towards General Continuous Memory for Vision-Language Models","created":"2025-05-23","cited_by_count":15,"area":"mllm"},{"id":"2511.22697","title":"Mechanistic Finetuning of Vision-Language-Action Models via Few-Shot Demonstrations","created":"2025-11-27","cited_by_count":15,"area":"mllm"},{"id":"2510.08564","title":"How to Teach Large Multimodal Models New Skills","created":"2025-10-09","cited_by_count":11,"area":"mllm"},{"id":"2411.11909","title":"SymDPO: Boosting In-Context Learning of Large Multimodal Models with Symbol Demonstration Direct Preference Optimization","created":"2024-11-17","cited_by_count":10,"area":"mllm"},{"id":"2503.22720","title":"Why Representation Engineering Works: A Theoretical and Empirical Study in Vision-Language Models","created":"2025-03-25","cited_by_count":6,"area":"mllm"},{"id":"2507.01368","title":"Activation Reward Models for Few-Shot Model Alignment","created":"2025-07-02","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":"2605.05668","title":"Large Vision-Language Models Get Lost in Attention","created":"2026-05-07","cited_by_count":5,"area":"mllm"},{"id":"2606.14703","title":"Gaze Heads: How VLMs Look at What They Describe","created":"2026-06-12","cited_by_count":5,"area":"mllm"},{"id":"2603.06854","title":"Are Audio-Language Models Listening? Audio-Specialist Heads for Adaptive Audio Steering","created":"2026-03-06","cited_by_count":4,"area":"mllm"},{"id":"2509.02805","title":"Challenges in Understanding Modality Conflict in Vision-Language Models","created":"2025-09-02","cited_by_count":3,"area":"mllm"},{"id":"2602.10146","title":"VERA: Identifying and Leveraging Visual Evidence Retrieval Heads in Long-Context Understanding","created":"2026-02-09","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":"2604.07422","title":"Multimodal Large Language Models for Multi-Subject In-Context Image Generation","created":"2026-04-08","cited_by_count":2,"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":"2604.11005","title":"Diffusion-CAM: Faithful Visual Explanations for dMLLMs","created":"2026-04-13","cited_by_count":1,"area":"mllm"},{"id":"2606.12898","title":"Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension","created":"2026-06-11","cited_by_count":1,"area":"mllm"},{"id":"2609.38810","title":"CRAFT: Causal Responsibility and Failure Tracing in Medical Vision Language Models","created":"2026-09-30","cited_by_count":1,"area":"mllm"},{"id":"2509.26235","title":"Interpret, prune and distill Donut : towards lightweight VLMs for VQA on document","created":"2025-09-30","cited_by_count":0,"area":"mllm"},{"id":"2601.12809","title":"Left-Right Symmetry Breaking in CLIP-style Vision-Language Models Trained on Synthetic Spatial-Relation Data","created":"2026-01-19","cited_by_count":0,"area":"mllm"},{"id":"2603.28058","title":"Is One-Shot In-Context Learning Helpful for Data Selection in Task-Specific Fine-Tuning of Multimodal LLMs?","created":"2026-03-30","cited_by_count":0,"area":"mllm"},{"id":"2606.23885","title":"Mind the Heads: Topological Representation Alignment for Multimodal LLMs","created":"2026-06-22","cited_by_count":0,"area":"mllm"},{"id":"2607.29412","title":"Role-Break in Attention Heads: Understanding and Detecting Hallucinations in VLMs","created":"2026-07-31","cited_by_count":0,"area":"mllm"},{"id":"2608.02830","title":"In-Context Collapse in Vision-Language Models and How to Mitigate it?","created":"2026-08-03","cited_by_count":0,"area":"mllm"}],"next_cursor":null}