activity
20222024
most citedDialogue Planning via Brownian Bridge Stochastic Process for Goal-directed Proactive Dialogue

3 citations · 6 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2024

Delving Deep into Engagement Prediction of Short Videos

Dasong Li, Wenjie Li, Baili Lu +4

Understanding and modeling the popularity of User Generated Content (UGC) short videos on social media platforms presents a critical challenge with broad implications for content c…

cs.CL2024

Target-constrained Bidirectional Planning for Generation of Target-oriented Proactive Dialogue

Jian Wang, Dongding Lin, Wenjie Li

Target-oriented proactive dialogue systems aim to lead conversations from a dialogue context toward a pre-determined target, such as making recommendations on designated items or i…

cs.CL2023

Self-Detoxifying Language Models via Toxification Reversal

Chak Tou Leong, Yi Cheng, Jiashuo Wang +2

Language model detoxification aims to minimize the risk of generating offensive or harmful content in pretrained language models (PLMs) for safer deployment. Existing methods can b…

cs.CL2023

Target-oriented Proactive Dialogue Systems with Personalization: Problem Formulation and Dataset Curation

Jian Wang, Yi Cheng, Dongding Lin +2

Target-oriented dialogue systems, designed to proactively steer conversations toward predefined targets or accomplish specific system-side goals, are an exciting area in conversati…

cs.CL2023

Medical Dialogue Generation via Dual Flow Modeling

Kaishuai Xu, Wenjun Hou, Yi Cheng +2

Medical dialogue systems (MDS) aim to provide patients with medical services, such as diagnosis and prescription. Since most patients cannot precisely describe their symptoms, dial…

cs.CL2023★ 3 cited

Dialogue Planning via Brownian Bridge Stochastic Process for Goal-directed Proactive Dialogue

Jian Wang, Dongding Lin, Wenjie Li

Goal-directed dialogue systems aim to proactively reach a pre-determined target through multi-turn conversations. The key to achieving this task lies in planning dialogue paths tha…

cs.IR2022

COLA: Improving Conversational Recommender Systems by Collaborative Augmentation

Dongding Lin, Jian Wang, Wenjie Li

Conversational recommender systems (CRS) aim to employ natural language conversations to suggest suitable products to users. Understanding user preferences for prospective items an…

cs.CL2022★ 3 cited

Follow Me: Conversation Planning for Target-driven Recommendation Dialogue Systems

Jian Wang, Dongding Lin, Wenjie Li

Recommendation dialogue systems aim to build social bonds with users and provide high-quality recommendations. This paper pushes forward towards a promising paradigm called target-…