SVHalluc: Benchmarking Speech-Vision Hallucination in Audio-Visual Large Language Models 事件

SVHalluc: Benchmarking Speech-Vision Hallucination in Audio-Visual Large Language Models arXiv:2606.02642v1 Announce Type: cross Abstract: Despite the success of audio-visual large-language models (LLMs), they can produce plausible but ungrounded outputs, termed hallucination. Existing benchmarks focus on environmental sounds (e.g., dog barking) to indicate event occurrence. In contrast, human speech carries fundamentally different, rich semantics and temporal structures, yet it remains unexplo