CRSLab: An Open-Source Toolkit for Building Conversational Recommender System. - Kun Zhou 002; Xiaolei Wang 005; Yuanhang Zhou; Chenzhan Shang; Yuan Cheng; Wayne Xin Zhao; Yaliang Li; Ji-Rong Wen (ACL (demo), 2021)

Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning. - Xiaolei Wang 005; Kun Zhou 002; Ji-Rong Wen; Wayne Xin Zhao (KDD, 2022)

Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models. - Xiaolei Wang 005; Xinyu Tang 004; Xin Zhao 018; Jingyuan Wang 001; Ji-Rong Wen (EMNLP, 2023)

Improving Conversational Recommendation Systems via Counterfactual Data Simulation. - Xiaolei Wang 005; Kun Zhou 002; Xinyu Tang 004; Wayne Xin Zhao; Fan Pan; Zhao Cao; Ji-Rong Wen (KDD, 2023)

Alleviating the Long-Tail Problem in Conversational Recommender Systems. - Zhipeng Zhao; Kun Zhou 002; Xiaolei Wang 005; Wayne Xin Zhao; Fan Pan; Zhao Cao; Ji-Rong Wen (RecSys, 2023)

A Survey of Large Language Models. - Wayne Xin Zhao; Kun Zhou 002; Junyi Li; Tianyi Tang; Xiaolei Wang 005; Yupeng Hou; Yingqian Min; Beichen Zhang; Junjie Zhang 009; Zican Dong; Yifan Du 002; Chen Yang; et al. (CoRR, 2023)

Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models. - Tianyi Tang; Wenyang Luo; Haoyang Huang; Dongdong Zhang 001; Xiaolei Wang 005; Xin Zhao 018; Furu Wei; Ji-Rong Wen (ACL (1), 2024)

Unleashing the Potential of Large Language Models as Prompt Optimizers: An Analogical Analysis with Gradient-based Model Optimizers. - Xinyu Tang 004; Xiaolei Wang 005; Wayne Xin Zhao; Siyuan Lu; Yaliang Li; Ji-Rong Wen (CoRR, 2024)

Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task Learning. - Xiaolei Wang 005; Xinyu Tang 004; Wayne Xin Zhao; Ji-Rong Wen (CoRR, 2024)

YuLan: An Open-source Large Language Model. - Yutao Zhu 001; Kun Zhou 002; Kelong Mao; Wentong Chen; Yiding Sun; Zhipeng Chen 001; Qian Cao 001; Yihan Wu; Yushuo Chen; Feng Wang; Lei Zhang; Junyi Li; et al. (CoRR, 2024)

Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers. - Xinyu Tang 004; Xiaolei Wang 005; Wayne Xin Zhao; Siyuan Lu; Yaliang Li; Ji-Rong Wen (AAAI, 2025)

Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering. - Xinyu Tang 004; Xiaolei Wang 005; Zhihao Lv; Yingqian Min; Xin Zhao 018; Binbin Hu; Ziqi Liu; Zhiqiang Zhang 012 (ACL (1), 2025)

Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task Learning. - Xiaolei Wang 005; Xinyu Tang 004; Junyi Li; Xin Zhao 018; Ji-Rong Wen (ICLR, 2025)

DAWN-ICL: Strategic Planning of Problem-solving Trajectories for Zero-Shot In-Context Learning. - Xinyu Tang 004; Xiaolei Wang 005; Xin Zhao 018; Ji-Rong Wen (NAACL (Long Papers), 2025)

Search-Based Interaction For Conversation Recommendation via Generative Reward Model Based Simulated User. - Xiaolei Wang 005; Chunxuan Xia; Junyi Li; Fanzhe Meng; Lei Huang; Jinpeng Wang 001; Wayne Xin Zhao; Ji-Rong Wen (SIGIR, 2025)

DeepRec: Towards a Deep Dive Into the Item Space with Large Language Model Based Recommendation. - Bowen Zheng 005; Xiaolei Wang 005; Enze Liu 005; Xi Wang; Hongyu Lu; Yu Chen; Wayne Xin Zhao; Ji-Rong Wen (CoRR, 2025)

LARES: Latent Reasoning for Sequential Recommendation. - Enze Liu 005; Bowen Zheng 005; Xiaolei Wang 005; Wayne Xin Zhao; Jinpeng Wang 001; Sheng Chen; Ji-Rong Wen (CoRR, 2025)