14 citations · 19 across the 12 of their papers we have counts for
12 papers · 1 filter
Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding
Eileen Ye, Jiawen Tao, Yaoming Li +7
Long-running multi-turn interactions with chatbots and agents are now common, and a correct response often depends on remembering earlier details, tracking later revisions, identif…
DraDDP: A Multimodal Multi-Party Dialogue Discourse Parsing Dataset
Shannan Liu, Peifeng Li, Yaxin Fan +1
Multi-party dialogue discourse parsing aims to identify dependency structures and relation types between utterances in conversations. Previous studies are mostly limited to textual…
Improving Dialogue Discourse Parsing through Discourse-aware Utterance Clarification
Yaxin Fan, Peifeng Li, Qiaoming Zhu
Dialogue discourse parsing aims to identify and analyze discourse relations between the utterances within dialogues. However, linguistic features in dialogues, such as omission and…
Enhancing Goal-oriented Proactive Dialogue Systems via Consistency Reflection and Correction
Didi Zhang, Yaxin Fan, Peifeng Li +1
Goal-oriented proactive dialogue systems are designed to guide user conversations seamlessly towards specific objectives by planning a goal-oriented path. However, previous researc…
Two-stage Incomplete Utterance Rewriting on Editing Operation
Zhiyu Cao, Peifeng Li, Qiaoming Zhu +1
Previous work on Incomplete Utterance Rewriting (IUR) has primarily focused on generating rewritten utterances based solely on dialogue context, ignoring the widespread phenomenon…
Incomplete Utterance Rewriting with Editing Operation Guidance and Utterance Augmentation
Zhiyu Cao, Peifeng Li, Yaxin Fan +1
Although existing fashionable generation methods on Incomplete Utterance Rewriting (IUR) can generate coherent utterances, they often result in the inclusion of irrelevant and redu…
Quantifying Self-diagnostic Atomic Knowledge in Chinese Medical Foundation Model: A Computational Analysis
Yaxin Fan, Feng Jiang, Benyou Wang +2
Foundation Models (FMs) have the potential to revolutionize the way users self-diagnose through search engines by offering direct and efficient suggestions. Recent studies primaril…
GrammarGPT: Exploring Open-Source LLMs for Native Chinese Grammatical Error Correction with Supervised Fine-Tuning
Yaxin Fan, Feng Jiang, Peifeng Li +1
Grammatical error correction aims to correct ungrammatical sentences automatically. Recently, some work has demonstrated the excellent capabilities of closed-source Large Language…
PlatoLM: Teaching LLMs in Multi-Round Dialogue via a User Simulator
Chuyi Kong, Yaxin Fan, Xiang Wan +2
The unparalleled performance of closed-sourced ChatGPT has sparked efforts towards its democratization, with notable strides made by leveraging real user and ChatGPT dialogues, as…
Multi-Granularity Prompts for Topic Shift Detection in Dialogue
Jiangyi Lin, Yaxin Fan, Xiaomin Chu +2
The goal of dialogue topic shift detection is to identify whether the current topic in a conversation has changed or needs to change. Previous work focused on detecting topic shift…
Topic Shift Detection in Chinese Dialogues: Corpus and Benchmark
Jiangyi Lin, Yaxin Fan, Feng Jiang +2
Dialogue topic shift detection is to detect whether an ongoing topic has shifted or should shift in a dialogue, which can be divided into two categories, i.e., response-known task…
Uncovering the Potential of ChatGPT for Discourse Analysis in Dialogue: An Empirical Study
Yaxin Fan, Feng Jiang, Peifeng Li +1
Large language models, like ChatGPT, have shown remarkable capability in many downstream tasks, yet their ability to understand discourse structures of dialogues remains less explo…