2 papers
cs.IR2024
Large-Scale Multi-Domain Recommendation: an Automatic Domain Feature Extraction and Personalized Integration Framework
Dongbo Xi, Zhen Chen, Yuexian Wang +4
Feed recommendation is currently the mainstream mode for many real-world applications (e.g., TikTok, Dianping), it is usually necessary to model and predict user interests in multi…
cs.CL2024
Calibrating the Confidence of Large Language Models by Eliciting Fidelity
Mozhi Zhang, Mianqiu Huang, Rundong Shi +5
Large language models optimized with techniques like RLHF have achieved good alignment in being helpful and harmless. However, post-alignment, these language models often exhibit o…