7 papers
ClusterRAG: Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generation
Gibson Nkhata, Uttamasha Anjally Oyshi, Quan Mai +1
Personalized Retrieval-Augmented Generation (RAG) relies on accurately selecting user-relevant documents. In practice, existing RAG approaches often suffer from high retrieval cost…
Verifying Rumors via Stance-Aware Structural Modeling
Gibson Nkhata, Uttamasha Anjally Oyshi, Quan Mai +1
Verifying rumors on social media is critical for mitigating the spread of false information. The stances of conversation replies often provide important cues to determine a rumor's…
Mind2: Mind-to-Mind Emotional Support System with Bidirectional Cognitive Discourse Analysis
Shi Yin Hong, Uttamasha Oyshi, Quan Mai +2
Emotional support (ES) systems alleviate users' mental distress by generating strategic supportive dialogues based on diverse user situations. However, ES systems are limited in th…
Boolean-aware Attention for Dense Retrieval
Quan Mai, Susan Gauch, Douglas Adams
We present Boolean-aware attention, a novel attention mechanism that dynamically adjusts token focus based on Boolean operators (e.g., and, or, not). Our model employs specialized…
Incorporating Classifier-Free Guidance in Diffusion Model-Based Recommendation
Noah Buchanan, Susan Gauch, Quan Mai
This paper presents a diffusion-based recommender system that incorporates classifier-free guidance. Most current recommender systems provide recommendations using conventional met…
SetBERT: Enhancing Retrieval Performance for Boolean Logic and Set Operation Queries
Quan Mai, Susan Gauch, Douglas Adams
We introduce SetBERT, a fine-tuned BERT-based model designed to enhance query embeddings for set operations and Boolean logic queries, such as Intersection (AND), Difference (NOT),…
Sequence Graph Network for Online Debate Analysis
Quan Mai, Susan Gauch, Douglas Adams +1
Online debates involve a dynamic exchange of ideas over time, where participants need to actively consider their opponents' arguments, respond with counterarguments, reinforce thei…