2 citations · 5 across the 5 of their papers we have counts for
5 papers
VASTU: Language Models Struggle to Recognize Online Community Values
Agam Goyal, Xianyang Zhan, Charlotte Lambert +2
Online communities develop distinct norms for content they collectively value, yet it remains unclear whether current language models can recognize locally valued contributions in…
Large Language Model-based Data Science Agent: A Survey
Ke Chen, Peiran Wang, Yaoning Yu +2
The rapid advancement of Large Language Models (LLMs) has driven novel applications across diverse domains, with LLM-based agents emerging as a crucial area of exploration. This su…
MoMoE: Mixture of Moderation Experts Framework for AI-Assisted Online Governance
Agam Goyal, Xianyang Zhan, Yilun Chen +2
Large language models (LLMs) have shown great potential in flagging harmful content in online communities. Yet, existing approaches for moderation require a separate model for ever…
An LLM-based Simulation Framework for Embodied Conversational Agents in Psychological Counseling
Lixiu Wu, Yuanrong Tang, Qisen Pan +6
Due to privacy concerns, open dialogue datasets for mental health are primarily generated through human or AI synthesis methods. However, the inherent implicit nature of psychologi…
SLM-Mod: Small Language Models Surpass LLMs at Content Moderation
Xianyang Zhan, Agam Goyal, Yilun Chen +2
Large language models (LLMs) have shown promise in many natural language understanding tasks, including content moderation. However, these models can be expensive to query in real-…