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Click intent matters鈥擬ARCO achieves nearly perfect calibration and boosts conversions by 2.80% by treating clicks as distinct signals rather than uniform events.
Environmental audio manipulation is easier to detect than synthetic speech, but existing detectors fail to handle both effectively, revealing critical gaps in current audio forensics.
URNet achieves state-of-the-art RGB-D semantic segmentation performance while significantly reducing computational overhead by unifying feature extraction and fusion in a single encoder.
LALMs struggle to remember non-speech sounds across multi-turn conversations not because of faulty attention, but because their internal representations of those sounds drift over time.
LALMs can learn to strategically "think aloud" during spoken interactions, improving accuracy and reducing response latency by externalizing intermediate reasoning steps.
