Thread Detection and Response Generation using Transformers with Prompt Optimisation

arXiv:2403.05931v1 Announce Type: cross
Abstract: Conversational systems are crucial for human-computer interaction, managing complex dialogues by identifying threads and prioritising responses. This is especially vital in multi-party conversations, where precise identification of threads and strategic response prioritisation ensure efficient dialogue management. To address these challenges an end-to-end model that identifies threads and prioritises their response generation based on the importance was developed, involving a systematic decomposition of the problem into discrete components - thread detection, prioritisation, and performance optimisation which …

abstract arxiv challenges computer conversational conversations cs.cl cs.lg detection dialogue human human-computer interaction identification management optimisation prompt responses systems thread threads transformers type vital