{"total":32,"rows":[{"id":"2505.20256","title":"Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration","created":"2025-05-26","cited_by_count":41,"area":null},{"id":"2411.16771","title":"VidHal: Benchmarking Temporal Hallucinations in Vision LLMs","created":"2024-11-25","cited_by_count":19,"area":null},{"id":"2510.03117","title":"Taming Text-to-Sounding Video Generation via Advanced Modality Condition and Interaction","created":"2025-10-03","cited_by_count":11,"area":null},{"id":"2604.02605","title":"Do Audio-Visual Large Language Models Really See and Hear?","created":"2026-04-03","cited_by_count":9,"area":null},{"id":"2505.20873","title":"Fork-Merge Decoding: Enhancing Multimodal Understanding in Audio-Visual Large Language Models","created":"2025-05-27","cited_by_count":8,"area":null},{"id":"2510.15148","title":"XModBench: Benchmarking Cross-Modal Capabilities and Consistency in Omni-Language Models","created":"2025-10-16","cited_by_count":6,"area":null},{"id":"2602.06139","title":"EgoAVU: Egocentric Audio-Visual Understanding","created":"2026-02-05","cited_by_count":3,"area":null},{"id":"2505.06803","title":"Bridging Ears and Eyes: Analyzing Audio and Visual Large Language Models to Humans in Visible Sound Recognition and Reducing Their Sensory Gap via Cross-Modal Distillation","created":"2025-05-11","cited_by_count":2,"area":null},{"id":"2509.17901","title":"Do Modern Video-LLMs Need to Listen? A Benchmark Audit and Scalable Remedy","created":"2025-09-22","cited_by_count":2,"area":null},{"id":"2512.08282","title":"PAVAS: Physics-Aware Video-to-Audio Synthesis","created":"2025-12-09","cited_by_count":2,"area":null},{"id":"2605.04045","title":"Audio-Visual Intelligence in Large Foundation Models","created":"2026-05-05","cited_by_count":2,"area":null},{"id":"2605.13737","title":"Senses Wide Shut: A Representation-Action Gap in Omnimodal LLMs","created":"2026-05-13","cited_by_count":2,"area":null},{"id":"2606.02642","title":"SVHalluc: Benchmarking Speech-Vision Hallucination in Audio-Visual Large Language Models","created":"2026-05-31","cited_by_count":2,"area":null},{"id":"2608.27135","title":"Said Aloud, Read Different: Cross-Modal Instability in Multimodal Models","created":"2026-08-27","cited_by_count":2,"area":null},{"id":"2510.08078","title":"Detecting and Mitigating Insertion Hallucination in Video-to-Audio Generation","created":"2025-10-09","cited_by_count":1,"area":null},{"id":"2604.14520","title":"Chain of Modality: From Static Fusion to Dynamic Orchestration in Omni-MLLMs","created":"2026-04-16","cited_by_count":1,"area":null},{"id":"2605.07593","title":"TraceAV-Bench: Benchmarking Multi-Hop Trajectory Reasoning over Long Audio-Visual Videos","created":"2026-05-08","cited_by_count":1,"area":null},{"id":"2606.30059","title":"From Failure Taxonomy to Intervention: A Diagnostic Methodology for Industry-Scale AVLM in Video and Live-Streaming Platform Moderation","created":"2026-06-29","cited_by_count":1,"area":null},{"id":"2607.00247","title":"Adaptive Perturbation Selection for Contrastive Audio Decoding","created":"2026-06-30","cited_by_count":1,"area":null},{"id":"2604.10014","title":"Demographic and Linguistic Bias Evaluation in Omnimodal Language Models","created":"2026-04-11","cited_by_count":0,"area":null},{"id":"2606.20970","title":"CogniRoute: Learning to Route Social Evidence in Omni-Modal Models","created":"2026-06-18","cited_by_count":0,"area":null},{"id":"2608.06930","title":"AVCap: Reinforcing Audio-Video Joint Caption with Detail-Aware Reward","created":"2026-08-07","cited_by_count":0,"area":null},{"id":"2608.27785","title":"Compositional Failure in Audio-Visual LLMs: Late-Layer Prior Dominance Under Cross-modal Conflict","created":"2026-08-27","cited_by_count":0,"area":null},{"id":"2609.04242","title":"Training-Free Speech-Centric Omni Understanding with Frozen VLMs","created":"2026-08-07","cited_by_count":0,"area":null},{"id":"2609.21465","title":"OmniVChat: Synthesizing, Benchmarking, and Training for Native Audio-Visual Dialogue","created":"2026-09-18","cited_by_count":0,"area":null},{"id":"2609.33893","title":"MISHAP-Bench: A Hallucination Benchmark for Large Audio-Language Models","created":"2026-09-27","cited_by_count":0,"area":null},{"id":"2609.36798","title":"Seeing What Should Be Heard: Diagnosing and Repairing Cross-Modal Shortcuts in Omni-Modal LLMs","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2609.37568","title":"Devils in Question Relay: Source-Conditioned Relay Steering to Mitigate Hallucinations in Audio-visual Large Language Models","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2610.02976","title":"Relevant Evidence Decoding for Audio-Visual Hallucination Mitigation","created":"2026-10-02","cited_by_count":0,"area":null},{"id":"2610.02999","title":"OmniConfess: Eliciting Token Confessions to Mitigate Omni-Modal Hallucination","created":"2026-10-02","cited_by_count":0,"area":null},{"id":"2610.16135","title":"Omni-Modal LLMs Know More Than They Say","created":"2026-10-12","cited_by_count":0,"area":null},{"id":"2610.18141","title":"Mitigating Cross-Modal Hallucinations by Correcting Modality Misrouting in Omnimodal LLMs","created":"2026-10-13","cited_by_count":0,"area":null}],"next_cursor":null}