3 papers
cs.CL2026
PALMs: Using Multi Construct-Grounded Rationales for Modeling Population Preferences in LLMs
Priyanka Dey, Brihi Joshi, Preyashi Poddar +2
Large language models are being extensively used to simulate individual user behavior, yet faithfully representing a population requires capturing the systematic variation in value…
cs.CL2025
GRAVITY: A Framework for Personalized Text Generation via Profile-Grounded Synthetic Preferences
Priyanka Dey, Daniele Rosa, Wenqing Zheng +3
Personalization in LLMs often relies on costly human feedback or interaction logs, limiting scalability and neglecting deeper user attributes. To reduce the reliance on human annot…
cs.LG2025
LLM-Powered Text-Attributed Graph Anomaly Detection via Retrieval-Augmented Reasoning
Haoyan Xu, Ruizhi Qian, Zhengtao Yao +10
Anomaly detection on attributed graphs plays an essential role in applications such as fraud detection, intrusion monitoring, and misinformation analysis. However, text-attributed…