Zhouhang Xie

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 16

Top Topics

Inductive Reasoning

Text Classifiers

Top Venues

Publications

Junda Wu, Zachary Novack, Amit Namburi, Jiaheng Dai, Hao-Wen Dong, Zhouhang Xie, Carol Chen, Julian J. McAuley
Futga: Towards Fine-grained Music Understanding through Temporally-enhanced Generative Augmentation. CoRR (2024)
Zhankui He, Zhouhang Xie, Harald Steck, Dawen Liang, Rahul Jha, Nathan Kallus, Julian J. McAuley
Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation. CoRR (2024)
Zeyuan Zhang, Tanmay Laud, Zihang He, Xiaojie Chen, Xinshuang Liu, Zhouhang Xie, Julian J. McAuley, Zhankui He
RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface. AAAI (2024)
Zeyuan Zhang, Tanmay Laud, Zihang He, Xiaojie Chen, Xinshuang Liu, Zhouhang Xie, Julian J. McAuley, Zhankui He
RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface. CoRR (2024)
Nafis Sadeq, Zhouhang Xie, Byungkyu Kang, Prarit Lamba, Xiang Gao, Julian J. McAuley
Mitigating Hallucination in Fictional Character Role-Play. CoRR (2024)
Zhouhang Xie, Bodhisattwa Prasad Majumder, Mengjie Zhao, Yoshinori Maeda, Keiichi Yamada, Hiromi Wakaki, Julian J. McAuley
Few-shot Dialogue Strategy Learning for Motivational Interviewing via Inductive Reasoning. CoRR (2024)
Zhouhang Xie, Bodhisattwa Prasad Majumder, Mengjie Zhao, Yoshinori Maeda, Keiichi Yamada, Hiromi Wakaki, Julian J. McAuley
Few-shot Dialogue Strategy Learning for Motivational Interviewing via Inductive Reasoning. ACL (Findings) (2024)
Zhankui He, Zhouhang Xie, Rahul Jha, Harald Steck, Dawen Liang, Yesu Feng, Bodhisattwa Prasad Majumder, Nathan Kallus, Julian J. McAuley
Large Language Models as Zero-Shot Conversational Recommenders. CoRR (2023)
Zhouhang Xie, Sameer Singh, Julian J. McAuley, Bodhisattwa Prasad Majumder
Factual and Informative Review Generation for Explainable Recommendation. AAAI (2023)
Zhankui He, Zhouhang Xie, Rahul Jha, Harald Steck, Dawen Liang, Yesu Feng, Bodhisattwa Prasad Majumder, Nathan Kallus, Julian J. McAuley
Large Language Models as Zero-Shot Conversational Recommenders. CIKM (2023)
Zhouhang Xie, Jonathan Brophy, Adam Noack, Wencong You, Kalyani Asthana, Carter Perkins, Sabrina Reis, Sameer Singh, Daniel Lowd
Identifying Adversarial Attacks on Text Classifiers. CoRR (2022)
Zhouhang Xie, Julian J. McAuley, Bodhisattwa Prasad Majumder
On Faithfulness and Coherence of Language Explanations for Recommendation Systems. CoRR (2022)
Kalyani Asthana, Zhouhang Xie, Wencong You, Adam Noack, Jonathan Brophy, Sameer Singh, Daniel Lowd
TCAB: A Large-Scale Text Classification Attack Benchmark. CoRR (2022)
Zhouhang Xie, Sameer Singh, Julian J. McAuley, Bodhisattwa Prasad Majumder
Factual and Informative Review Generation for Explainable Recommendation. CoRR (2022)
Zhouhang Xie, Jonathan Brophy, Adam Noack, Wencong You, Kalyani Asthana, Carter Perkins, Sabrina Reis, Zayd Hammoudeh, Daniel Lowd, Sameer Singh
What Models Know About Their Attackers: Deriving Attacker Information From Latent Representations. BlackboxNLP@EMNLP (2021)
Ali Rostami, Zhouhang Xie, Akihisa Ishino, Yoko Yamakata, Kiyoharu Aizawa, Ramesh C. Jain
World Food Atlas Project. CEA@ISMR (2021)