activity
20192026
most citedPersonalized Dialogue Generation with Persona-Adaptive Attention

25 citations · 56 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SD2026

FastTurn: Unifying Acoustic and Streaming Semantic Cues for Low-Latency and Robust Turn Detection

Chengyou Wang, Hongfei Xue, Mingchen Shao +9

Recent advances in AudioLLMs have enabled spoken dialogue systems to move beyond turn-based interaction toward real-time full-duplex communication, where the agent must decide when…

cs.CL2024★ 1 cited

Selective Prompting Tuning for Personalized Conversations with LLMs

Qiushi Huang, Xubo Liu, Tom Ko +4

In conversational AI, personalizing dialogues with persona profiles and contextual understanding is essential. Despite large language models' (LLMs) improved response coherence, ef…

cs.CL2022★ 25 cited

Personalized Dialogue Generation with Persona-Adaptive Attention

Qiushi Huang, Yu Zhang, Tom Ko +4

Persona-based dialogue systems aim to generate consistent responses based on historical context and predefined persona. Unlike conventional dialogue generation, the persona-based d…

cs.CL2021★ 24 cited

Token-Level Supervised Contrastive Learning for Punctuation Restoration

Qiushi Huang, Tom Ko, H Lilian Tang +2

Punctuation is critical in understanding natural language text. Currently, most automatic speech recognition (ASR) systems do not generate punctuation, which affects the performanc…

cs.SD2019★ 6 cited

Hard Sample Mining for the Improved Retraining of Automatic Speech Recognition

Jiabin Xue, Jiqing Han, Tieran Zheng +2

It is an effective way that improves the performance of the existing Automatic Speech Recognition (ASR) systems by retraining with more and more new training data in the target dom…