most citedNextQuill: Causal Preference Modeling for Enhancing LLM Personalization

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2026

Progressive Agent Skill Generation via Reinforcement Learning

Junhao Shen, Zhanqiu Zhang, Chengzhi Piao +2

Recent large language model agents often use external skills as modular procedural units that condition inference and improve complex task solving. Thus, automatically generating h…

cs.LG2026

Dynamic Skill Lifecycle Management for Agentic Reinforcement Learning

Junhao Shen, Teng Zhang, Xiaoyan Zhao +1

Large language model agents increasingly rely on external skills to solve complex tasks, where skills act as modular units that extend their capabilities beyond what parametric mem…

cs.CL2025

SteerX: Disentangled Steering for LLM Personalization

Xiaoyan Zhao, Ming Yan, Yilun Qiu +5

Large language models (LLMs) have shown remarkable success in recent years, enabling a wide range of applications, including intelligent assistants that support users' daily life a…

cs.CL2025

Reinforced Strategy Optimization for Conversational Recommender Systems via Network-of-Experts

Xiaoyan Zhao, Ming Yan, Yang Zhang +6

Conversational Recommender Systems (CRSs) aim to provide personalized recommendations through multi-turn natural language interactions with users. Given the strong interaction and…

cs.IR2025★ 1 cited

NextQuill: Causal Preference Modeling for Enhancing LLM Personalization

Xiaoyan Zhao, Juntao You, Yang Zhang +5

Personalizing large language models (LLMs) for individual users has become increasingly important as they are progressively integrated into real-world applications to support users…

cs.CL2025

Exploring the Impact of Personality Traits on Conversational Recommender Systems: A Simulation with Large Language Models

Xiaoyan Zhao, Yang Deng, Wenjie Wang +5

Conversational Recommender Systems (CRSs) engage users in multi-turn interactions to deliver personalized recommendations. The emergence of large language models (LLMs) further enh…

cs.CL2025

Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization

Yilun Qiu, Xiaoyan Zhao, Yang Zhang +5

Personalizing Large Language Models (LLMs) has become a critical step in facilitating their widespread application to enhance individual life experiences. In pursuit of personaliza…