activity
20232026
most citedUnveiling the Impact of Multi-Modal Interactions on User Engagement: A Comprehensive Evaluation in AI-driven Conversations

3 citations · 4 across the 4 of their papers we have counts for

collaborators

8 papers

cs.CL2026

Low Perplexity is Repetition: A One-Dimensional Self-Conditioning Attractor in Continuous Diffusion LMs

Shuai Zhang, Zijie Chen, Hongliang He +2

Continuous diffusion language models such as ELF report record-low generative perplexity (Gen-PPL). We find a catch: these models repeat far more than human text, and Gen-PPL rewar…

cs.CL2025

The Expressions of Depression and Anxiety in Chinese Psycho-counseling: Usage of First-person Singular Pronoun and Negative Emotional Words

Lizhi Ma, Tong Zhao, Shuai Zhang +7

This study explores the relationship between linguistic expressions and psychological states of depression and anxiety within Chinese psycho-counseling interactions, focusing speci…

cs.CL20243 cited

Unveiling the Impact of Multi-Modal Interactions on User Engagement: A Comprehensive Evaluation in AI-driven Conversations

Lichao Zhang, Jia Yu, Shuai Zhang +10

Large Language Models (LLMs) have significantly advanced user-bot interactions, enabling more complex and coherent dialogues. However, the prevalent text-only modality might not fu…

cs.CL20241 cited

Facilitating Pornographic Text Detection for Open-Domain Dialogue Systems via Knowledge Distillation of Large Language Models

Huachuan Qiu, Shuai Zhang, Hongliang He +2

Pornographic content occurring in human-machine interaction dialogues can cause severe side effects for users in open-domain dialogue systems. However, research on detecting pornog…

cs.CL2024

Unveiling the Secrets of Engaging Conversations: Factors that Keep Users Hooked on Role-Playing Dialog Agents

Shuai Zhang, Yu Lu, Junwen Liu +4

With the growing humanlike nature of dialog agents, people are now engaging in extended conversations that can stretch from brief moments to substantial periods of time. Understand…

cs.CL2024

Understanding the Therapeutic Relationship between Counselors and Clients in Online Text-based Counseling using LLMs

Anqi Li, Yu Lu, Nirui Song +3

Robust therapeutic relationships between counselors and clients are fundamental to counseling effectiveness. The assessment of therapeutic alliance is well-established in tradition…