2 papers
cs.CV2026
EchoingPixels: Aliasing-Resistant Joint Token Reduction for Audio-Visual LLMs
Chao Gong, Depeng Wang, Zhipeng Wei +3
Audio-Visual Large Language Models (AV-LLMs) face prohibitive computational costs of processing massive, redundant audio-visual tokens. Existing unimodal compression techniques fai…
cs.MM2026
AVID: A Benchmark for Omni-Modal Audio-Visual Inconsistency Understanding via Agent-Driven Construction
Zixuan Chen, Depeng Wang, Hao Lin +6
We present AVID, the first large-scale benchmark for audio-visual inconsistency understanding in videos. While omni-modal large language models excel at temporally aligned tasks su…