29 citations · 125 across the 22 of their papers we have counts for
46 papers
CONVERSER: Few-Shot Conversational Dense Retrieval with Synthetic Data Generation
Chao-Wei Huang, Chen-Yu Hsu, Tsu-Yuan Hsu +2
Conversational search provides a natural interface for information retrieval (IR). Recent approaches have demonstrated promising results in applying dense retrieval to conversation…
SalesBot 2.0: A Human-Like Intent-Guided Chit-Chat Dataset
Wen-Yu Chang, Yun-Nung Chen
In recent research on dialogue systems and corpora, there has been a significant focus on two distinct categories: task-oriented (TOD) and open-domain (chit-chat) dialogues. TOD sy…
LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models
Yen-Ting Lin, Yun-Nung Chen
We propose LLM-Eval, a unified multi-dimensional automatic evaluation method for open-domain conversations with large language models (LLMs). Existing evaluation methods often rely…
Open-Domain Conversational Question Answering with Historical Answers
Hung-Chieh Fang, Kuo-Han Hung, Chao-Wei Huang +1
Open-domain conversational question answering can be viewed as two tasks: passage retrieval and conversational question answering, where the former relies on selecting candidate pa…
Zero-Shot Prompting for Implicit Intent Prediction and Recommendation with Commonsense Reasoning
Hui-Chi Kuo, Yun-Nung Chen
Intelligent virtual assistants are currently designed to perform tasks or services explicitly mentioned by users, so multiple related domains or tasks need to be performed one by o…
Controllable User Dialogue Act Augmentation for Dialogue State Tracking
Chun-Mao Lai, Ming-Hao Hsu, Chao-Wei Huang +1
Prior work has demonstrated that data augmentation is useful for improving dialogue state tracking. However, there are many types of user utterances, while the prior method only co…