Yashen Wang — accepted AI-conference papers

2026

MSR-Rec: Multi-Step Reasoning-Enhanced LLM for Sequential Recommendation

Tuo Wang, Meng Jian, Ge Shi, Lifang Wu, Yashen Wang

AAAI 2026technical

Sequential recommendation has become indispensable in modern digital services. Prevalent recommendation techniques formulate the recommendation task with a language instruction fed into large language models (LLMs) to generate recommendations. However, the implicit interaction scenario of recommenda

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2025

Bi-Tuning with Collaborative Information for Controllable LLM-based Sequential Recommendation

Xinyu Zhang, Linmei Hu, Luhao Zhang, Wentao Cheng, Yashen Wang, Ge Shi +2

ACL 2025long

Sequential recommender systems, which leverage historical interactions to deliver targeted recommendations, have been significantly advanced by large language models (LLMs). However, LLM-based generative sequential recommendation often faces two key challenges: the lack of collaborative knowledge an…

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