16 citations · 21 across the 9 of their papers we have counts for
4 papers
UniGDD: A Unified Generative Framework for Goal-Oriented Document-Grounded Dialogue
Chang Gao, Wenxuan Zhang, Wai Lam
The goal-oriented document-grounded dialogue aims at responding to the user query based on the dialogue context and supporting document. Existing studies tackle this problem by dec…
A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems
Yang Deng, Wenxuan Zhang, Weiwen Xu +3
Recent years witnessed several advances in developing multi-goal conversational recommender systems (MG-CRS) that can proactively attract users' interests and naturally lead user-e…
Parameter-Efficient Tuning by Manipulating Hidden States of Pretrained Language Models For Classification Tasks
Haoran Yang, Piji Li, Wai Lam
Parameter-efficient tuning aims to distill knowledge for downstream tasks by optimizing a few introduced parameters while freezing the pretrained language models (PLMs). Continuous…
Improving Lexical Embeddings for Robust Question Answering
Weiwen Xu, Bowei Zou, Wai Lam +1
Recent techniques in Question Answering (QA) have gained remarkable performance improvement with some QA models even surpassed human performance. However, the ability of these mode…