Eduard Dragut

VLMs achieve over 74% F1 on standard ERD elements but falter dramatically on complex constructs, revealing critical gaps in multimodal understanding.

Document-level sentiment analysis gets a boost with DanceHA, a multi-agent framework that not only tackles the complexity of informal writing but also shows how agent knowledge can be distilled into more efficient student models.