Showing cs.CLShow all
3 papers · 1 filter
cs.CL2025
PRIME: Large Language Model Personalization with Cognitive Dual-Memory and Personalized Thought Process
Xinliang Frederick Zhang, Nick Beauchamp, Lu Wang
Large language model (LLM) personalization aims to align model outputs with individuals' unique preferences and opinions. While recent efforts have implemented various personalizat…
cs.CL2024
Narrative-of-Thought: Improving Temporal Reasoning of Large Language Models via Recounted Narratives
Xinliang Frederick Zhang, Nick Beauchamp, Lu Wang
Reasoning about time and temporal relations is an integral aspect of human cognition, essential for perceiving the world and navigating our experiences. Though large language model…
cs.CL2024
MOKA: Moral Knowledge Augmentation for Moral Event Extraction
Xinliang Frederick Zhang, Winston Wu, Nick Beauchamp +1
News media often strive to minimize explicit moral language in news articles, yet most articles are dense with moral values as expressed through the reported events themselves. How…