4 citations · 8 across the 7 of their papers we have counts for
6 papers · 1 filter
PopALM: Popularity-Aligned Language Models for Social Media Trendy Response Prediction
Erxin Yu, Jing Li, Chunpu Xu
Social media platforms are daily exhibiting millions of events. To preliminarily predict the mainstream public reaction to these events, we study trendy response prediction to auto…
Mitigating Unhelpfulness in Emotional Support Conversations with Multifaceted AI Feedback
Jiashuo Wang, Chunpu Xu, Chak Tou Leong +2
An emotional support conversation system aims to alleviate users' emotional distress and assist them in addressing their challenges. To generate supportive responses, it is critica…
Align on the Fly: Adapting Chatbot Behavior to Established Norms
Chunpu Xu, Steffi Chern, Ethan Chern +6
In this paper, we aim to align large language models with the ever-changing, complex, and diverse human values (e.g., social norms) across time and locations. This presents a chall…
HICL: Hashtag-Driven In-Context Learning for Social Media Natural Language Understanding
Hanzhuo Tan, Chunpu Xu, Jing Li +4
Natural language understanding (NLU) is integral to various social media applications. However, existing NLU models rely heavily on context for semantic learning, resulting in comp…
Topic-Guided Self-Introduction Generation for Social Media Users
Chunpu Xu, Jing Li, Piji Li +1
Millions of users are active on social media. To allow users to better showcase themselves and network with others, we explore the auto-generation of social media self-introduction…
Borrowing Human Senses: Comment-Aware Self-Training for Social Media Multimodal Classification
Chunpu Xu, Jing Li
Social media is daily creating massive multimedia content with paired image and text, presenting the pressing need to automate the vision and language understanding for various mul…