{"total":19,"rows":[{"id":"2410.15778","title":"Reducing Hallucinations in Vision-Language Models via Latent Space Steering","created":"2024-10-21","cited_by_count":59,"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":"2502.17516","title":"A Survey on Mechanistic Interpretability for Multi-Modal Foundation Models","created":"2025-02-22","cited_by_count":34,"area":"mllm"},{"id":"2505.20977","title":"Evaluating and Steering Modality Preferences in Multimodal Large Language Model","created":"2025-05-27","cited_by_count":33,"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":"2504.08851","title":"Mimic In-Context Learning for Multimodal Tasks","created":"2025-04-11","cited_by_count":12,"area":"mllm"},{"id":"2510.04560","title":"ContextNav: Towards Agentic Multimodal In-Context Learning","created":"2025-10-06","cited_by_count":10,"area":"mllm"},{"id":"2410.22888","title":"Effective and Efficient Adversarial Detection for Vision-Language Models via A Single Vector","created":"2024-10-30","cited_by_count":8,"area":"mllm"},{"id":"2505.12826","title":"Mitigating Hallucination in VideoLLMs via Temporal-Aware Activation Engineering","created":"2025-05-19","cited_by_count":8,"area":"mllm"},{"id":"2507.18043","title":"GrAInS: Gradient-based Attribution for Inference-Time Steering of LLMs and VLMs","created":"2025-07-24","cited_by_count":6,"area":"mllm"},{"id":"2604.05533","title":"Experience Transfer for Multimodal LLM Agents in Minecraft Game","created":"2026-04-07","cited_by_count":5,"area":"mllm"},{"id":"2511.08246","title":"Where and What Matters: Sensitivity-Aware Task Vectors for Many-Shot Multimodal In-Context Learning","created":"2025-11-11","cited_by_count":4,"area":"mllm"},{"id":"2602.01639","title":"ReCALL: Recalibrating Capability Degradation for MLLM-based Composed Image Retrieval","created":"2026-02-02","cited_by_count":3,"area":"mllm"},{"id":"2502.11427","title":"Do we Really Need Visual Instructions? Towards Visual Instruction-Free Fine-tuning for Large Vision-Language Models","created":"2025-02-17","cited_by_count":1,"area":"mllm"},{"id":"2602.23676","title":"Suppressing Prior-Comparison Hallucinations in Radiology Report Generation via Semantically Decoupled Latent Steering","created":"2026-02-27","cited_by_count":1,"area":"mllm"},{"id":"2605.18419","title":"Geometry-Aware Uncertainty Coresets for Robust Visual In-Context Learning in Histopathology","created":"2026-05-18","cited_by_count":1,"area":"mllm"},{"id":"2604.08846","title":"Dictionary-Aligned Concept Control for Safeguarding Multimodal LLMs","created":"2026-04-10","cited_by_count":0,"area":"mllm"},{"id":"2605.31349","title":"FBHM: Functional Benchmarking and Steering of VLMs for Hateful Meme Detection","created":"2026-05-29","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"}],"next_cursor":null}