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RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation
Chi-Min Chan, Chunpu Xu, Ruibin Yuan +4
Large Language Models (LLMs) exhibit remarkable capabilities but are prone to generating inaccurate or hallucinatory responses. This limitation stems from their reliance on vast pr…
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…
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…