3 accepted papers
Hateful meme classification aims to identify memes containing hateful content and has become increasingly important in the era of social media dominance. Large multimodal models (LMMs) have significantly enhanced the understanding of multimodal content, advancing this field. However, cognitive biase
Disfluency detection aims to recognize disfluencies in sentences. Existing works usually adopt a sequence labeling model to tackle this task. They also attempt to integrate into models the feature that the disfluencies are similar to the correct phrase, the so-called "rough copy". However, they heav…
Turn-taking, aiming to decide when the next speaker can start talking, is an essential component in building human-robot spoken dialogue systems. Previous studies indicate that multi-modal cues can facilitate this challenging task. However, due to the paucity of public multimodal datasets, current m…