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cs.CL2026
Do Recommenders Need to Think in Words? Latent Reasoning for Efficient LLM-Based Recommendation
Hongyang Su, Beibei Kong, Lei Cheng +2
LLM-based recommender systems increasingly generate chain-of-thought (CoT) text before each item prediction to activate the LLM's reasoning capacity, costing tens to hundreds of ex…
cs.CL2026
Intent-Driven Semantic ID Generation for Grounded Conversational News Recommendation
Hongyang Su, Beibei Kong, Lei Cheng +3
Conversational news recommendation requires grounding each suggestion in a rapidly evolving article corpus while addressing implicit user intents that lack explicit retrievable key…