3 papers
cs.CL2026
PsyBer-Agent: A Psychology-Driven User Agent for Recommender Systems
Chong Zhang, Qijie Shen, Haichao Zhang +3
Evaluating recommender systems before deployment requires simulators that remain realistic over long, closed-loop interaction cycles. Current LLM-based agents generally function as…
cs.IR2025
Uncertainty-Aware Semantic Decoding for LLM-Based Sequential Recommendation
Chenke Yin, Li Fan, Jia Wang +4
Large language models have been widely applied to sequential recommendation tasks, yet during inference, they continue to rely on decoding strategies developed for natural language…
cs.AI2025
LLM4Rail: An LLM-Augmented Railway Service Consulting Platform
Zhuo Li, Xianghuai Deng, Chiwei Feng +7
Large language models (LLMs) have significantly reshaped different walks of business. To meet the increasing demands for individualized railway service, we develop LLM4Rail - a nov…