What Models Know About Their Attackers: Deriving Attacker Information From Latent Representations. - Zhouhang Xie; Jonathan Brophy; Adam Noack; Wencong You; Kalyani Asthana; Carter Perkins; Sabrina Reis; Zayd Hammoudeh; Daniel Lowd; Sameer Singh 001 (BlackboxNLP@EMNLP, 2021)

World Food Atlas Project. - Ali Rostami 004; Zhouhang Xie; Akihisa Ishino; Yoko Yamakata; Kiyoharu Aizawa; Ramesh C. Jain (CEA@ISMR, 2021)

Identifying Adversarial Attacks on Text Classifiers. - Zhouhang Xie; Jonathan Brophy; Adam Noack; Wencong You; Kalyani Asthana; Carter Perkins; Sabrina Reis; Sameer Singh 001; Daniel Lowd (CoRR, 2022)

On Faithfulness and Coherence of Language Explanations for Recommendation Systems. - Zhouhang Xie; Julian J. McAuley; Bodhisattwa Prasad Majumder (CoRR, 2022)

TCAB: A Large-Scale Text Classification Attack Benchmark. - Kalyani Asthana; Zhouhang Xie; Wencong You; Adam Noack; Jonathan Brophy; Sameer Singh 001; Daniel Lowd (CoRR, 2022)

Factual and Informative Review Generation for Explainable Recommendation. - Zhouhang Xie; Sameer Singh 001; Julian J. McAuley; Bodhisattwa Prasad Majumder (AAAI, 2023)

Large Language Models as Zero-Shot Conversational Recommenders. - Zhankui He; Zhouhang Xie; Rahul Jha; Harald Steck; Dawen Liang; Yesu Feng; Bodhisattwa Prasad Majumder; Nathan Kallus; Julian J. McAuley (CIKM, 2023)

RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface. - Zeyuan Zhang; Tanmay Laud; Zihang He; Xiaojie Chen; Xinshuang Liu; Zhouhang Xie; Julian J. McAuley; Zhankui He (AAAI, 2024)

Few-shot Dialogue Strategy Learning for Motivational Interviewing via Inductive Reasoning. - Zhouhang Xie; Bodhisattwa Prasad Majumder; Mengjie Zhao; Yoshinori Maeda; Keiichi Yamada; Hiromi Wakaki; Julian J. McAuley (ACL (Findings), 2024)

Mitigating Hallucination in Fictional Character Role-Play. - Nafis Sadeq; Zhouhang Xie; Byungkyu Kang; Prarit Lamba; Xiang Gao; Julian J. McAuley (EMNLP (Findings), 2024)

Neighborhood-Based Collaborative Filtering for Conversational Recommendation. - Zhouhang Xie; Junda Wu; Hyunsik Jeon; Zhankui He; Harald Steck; Rahul Jha; Dawen Liang; Nathan Kallus; Julian J. McAuley (RecSys, 2024)

Futga: Towards Fine-grained Music Understanding through Temporally-enhanced Generative Augmentation. - Junda Wu; Zachary Novack; Amit Namburi; Jiaheng Dai; Hao-Wen Dong; Zhouhang Xie; Carol Chen; Julian J. McAuley (CoRR, 2024)

GUI Agents: A Survey. - Dang Nguyen; Jian Chen 043; Yu Wang 160; Gang Wu 013; Namyong Park; Zhengmian Hu; Hanjia Lyu; Junda Wu; Ryan Aponte; Yu Xia 007; Xintong Li 001; Jing Shi 005; et al. (CoRR, 2024)

GUI Agents: A Survey. - Dang Nguyen; Jian Chen 043; Yu Wang 160; Gang Wu 013; Namyong Park; Zhengmian Hu; Hanjia Lyu; Junda Wu; Ryan Aponte; Yu Xia 007; Xintong Li 001; Jing Shi 005; et al. (ACL (Findings), 2025)

From Selection to Generation: A Survey of LLM-based Active Learning. - Yu Xia 007; Subhojyoti Mukherjee; Zhouhang Xie; Junda Wu; Xintong Li 001; Ryan Aponte; Hanjia Lyu; Joe Barrow; Hongjie Chen 003; Franck Dernoncourt; Branislav Kveton; Tong Yu 001; et al. (ACL (1), 2025)

Latent Factor Models Meets Instructions: Goal-conditioned Latent Factor Discovery without Task Supervision. - Zhouhang Xie; Tushar Khot; Bhavana Dalvi Mishra; Harshit Surana; Julian J. McAuley; Peter Clark; Bodhisattwa Prasad Majumder (NAACL (Long Papers), 2025)

Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation. - Zhankui He; Zhouhang Xie; Harald Steck; Dawen Liang; Rahul Jha; Nathan Kallus; Julian J. McAuley (WSDM, 2025)

Latent Factor Models Meets Instructions:Goal-conditioned Latent Factor Discovery without Task Supervision. - Zhouhang Xie; Tushar Khot; Bhavana Dalvi Mishra; Harshit Surana; Julian J. McAuley; Peter Clark; Bodhisattwa Prasad Majumder (CoRR, 2025)

A Survey on Personalized and Pluralistic Preference Alignment in Large Language Models. - Zhouhang Xie; Junda Wu; Yiran Shen 004; Yu Xia 007; Xintong Li 001; Aaron Chang; Ryan A. Rossi; Sachin Kumar; Bodhisattwa Prasad Majumder; Jingbo Shang; Prithviraj Ammanabrolu; Julian J. McAuley (CoRR, 2025)

Improving In-Context Learning with Reasoning Distillation. - Nafis Sadeq; Xin Xu 010; Zhouhang Xie; Julian J. McAuley; Byungkyu Kang; Prarit Lamba; Xiang Gao (CoRR, 2025)

From Reviews to Dialogues: Active Synthesis for Zero-Shot LLM-based Conversational Recommender System. - Rohan Surana; Junda Wu; Zhouhang Xie; Yu Xia 007; Harald Steck; Dawen Liang; Nathan Kallus; Julian J. McAuley (CoRR, 2025)

In-context Ranking Preference Optimization. - Junda Wu; Rohan Surana; Zhouhang Xie; Yiran Shen 004; Yu Xia 007; Tong Yu 001; Ryan A. Rossi; Prithviraj Ammanabrolu; Julian J. McAuley (CoRR, 2025)