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From the 1 of 12 linked papers with an AI index.

collaborators

12 papers

cs.IR2026

Personalized Communication Skills for Agentic Recommender Systems

Zongwei Wang, Min Gao, Guangyu Hu +2

Agentic recommender systems increasingly employ large language model-based UserAgents to evaluate candidate items through simulated feedback before recommendations are delivered. H…

cs.IR2026

Where Reasoning Matters: Rethinking Latent Reasoning in Semantic ID-based Generative Recommendation

Shangxin Yang, Min Gao, Zongwei Wang +1

The paper proposes a method to allocate latent reasoning steps in semantic ID‑based generative recommendation by using position‑wise information gain, giving more computation to to…

cs.CL2026

Negative Advantages Is a Double-Edged Sword: Calibrating advantages in GRPO for Search Agents

Jiayi Wu, Ruobing Xie, Zeqian Huang +6

Search agents achieve strong question-answering performance through multi-turn interactions with search engines, with Group Relative Policy Optimization (GRPO) being a widely used…

cs.IR2026

Multi-LLM Token Filtering and Routing for Sequential Recommendation

Wuhan Chen, Min Gao, Xin Xia +3

Large language models (LLMs) have recently shown promise in recommendation by providing rich semantic knowledge. While most existing approaches rely on external textual corpora to…

cs.IR2026

Self-Distilled Reinforcement Learning for Co-Evolving Agentic Recommender Systems

Zongwei Wang, Min Gao, Hongzhi Yin +5

Large language model-empowered agentic recommender systems (ARS) reformulate recommendation as a multi-turn interaction between a recommender agent and a user agent, enabling itera…

cs.IR2026

DisenReason: Behavior Disentanglement and Latent Reasoning for Shared-Account Sequential Recommendation

Jiawei Cheng, Min Gao, Zongwei Wang +5

Shared-account usage is common on streaming and e-commerce platforms, where multiple users share one account. Existing shared-account sequential recommendation (SSR) methods often…