{"total":18,"rows":[{"id":"2502.04326","title":"WorldSense: Evaluating Real-world Omnimodal Understanding for Multimodal LLMs","created":"2025-02-06","cited_by_count":155,"area":"mllm"},{"id":"2503.22952","title":"OmniMMI: A Comprehensive Multi-modal Interaction Benchmark in Streaming Video Contexts","created":"2025-03-29","cited_by_count":51,"area":"mllm"},{"id":"2412.02611","title":"AV-Odyssey Bench: Can Your Multimodal LLMs Really Understand Audio-Visual Information?","created":"2024-12-03","cited_by_count":47,"area":"mllm"},{"id":"2505.20862","title":"AVCD: Mitigating Hallucinations in Audio-Visual Large Language Models through Contrastive Decoding","created":"2025-05-27","cited_by_count":30,"area":"mllm"},{"id":"2512.02231","title":"See, Hear, and Understand: Benchmarking Audiovisual Human Speech Understanding in Multimodal Large Language Models","created":"2025-12-01","cited_by_count":20,"area":"mllm"},{"id":"2508.04227","title":"Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting","created":"2025-08-06","cited_by_count":18,"area":"mllm"},{"id":"2506.07016","title":"MAGNET: A Multi-agent Framework for Finding Audio-Visual Needles by Reasoning over Multi-Video Haystacks","created":"2025-06-08","cited_by_count":12,"area":"mllm"},{"id":"2503.21699","title":"MAVERIX: Multimodal Audio-Visual Evaluation and Recognition IndeX","created":"2025-03-27","cited_by_count":7,"area":"mllm"},{"id":"2603.02803","title":"Structure-Aware Text Recognition for Ancient Greek Critical Editions","created":"2026-03-03","cited_by_count":5,"area":"mllm"},{"id":"2603.04800","title":"MASQuant: Modality-Aware Smoothing Quantization for Multimodal Large Language Models","created":"2026-03-05","cited_by_count":5,"area":"mllm"},{"id":"2606.00579","title":"Sandboxed Coding Agents are Competitive Omni-modal Task Solvers","created":"2026-05-30","cited_by_count":3,"area":"mllm"},{"id":"2606.24286","title":"AVOC: Enhancing Hour-Level Audio-Video Understanding in Omni-Modal LLMs via Retrieval-Inspired Token Compression","created":"2026-06-23","cited_by_count":3,"area":"mllm"},{"id":"2510.09266","title":"CFVBench: A Comprehensive Video Benchmark for Fine-grained Multimodal Retrieval-Augmented Generation","created":"2025-10-10","cited_by_count":2,"area":"mllm"},{"id":"2606.10147","title":"From Senses to Decisions: The Information Flow of Auditory and Visual Perception in Multimodal LLMs","created":"2026-06-08","cited_by_count":1,"area":"mllm"},{"id":"2506.21572","title":"Aligning MLLM Benchmark With Human Preferences via Structural Equation Modeling","created":"2025-06-13","cited_by_count":0,"area":"mllm"},{"id":"2606.07653","title":"A Dataset for Dynamic Human Preferences for Vision Language Models","created":"2026-06-02","cited_by_count":0,"area":"mllm"},{"id":"2607.28969","title":"SafeNexus: Discovering and Steering Modality-Universal Safety Neurons in MLLMs","created":"2026-07-31","cited_by_count":0,"area":"mllm"},{"id":"2609.10947","title":"The Platonic brain bridge hypothesis: human brain networks as an architectural prior for multimodal large language models","created":"2026-09-10","cited_by_count":0,"area":"mllm"}],"next_cursor":null}