Zhouhang Xie

According to our database, Zhouhang Xie authored at least 13 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

CoRR, 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

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Mitigating Hallucination in Fictional Character Role-Play.

Nafis Sadeq, Zhouhang Xie, Byungkyu Kang, Prarit Lamba, Xiang Gao, Julian J. McAuley

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 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

Proceedings of the Findings of the Association for Computational Linguistics, 2024

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Factual and Informative Review Generation for Explainable Recommendation.

Zhouhang Xie, Sameer Singh, Julian J. McAuley, Bodhisattwa Prasad Majumder

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

TCAB: A Large-Scale Text Classification Attack Benchmark.

Kalyani Asthana, Zhouhang Xie, Wencong You, Adam Noack, Jonathan Brophy, Sameer Singh, Daniel Lowd

CoRR, 2022

On Faithfulness and Coherence of Language Explanations for Recommendation Systems.

Zhouhang Xie, Julian J. McAuley, Bodhisattwa Prasad Majumder

CoRR, 2022

Identifying Adversarial Attacks on Text Classifiers.

Zhouhang Xie, Jonathan Brophy, Adam Noack, Wencong You, Kalyani Asthana, Carter Perkins, Sabrina Reis, Sameer Singh, Daniel Lowd

CoRR, 2022

2021

World Food Atlas Project.

Ali Rostami, Zhouhang Xie, Akihisa Ishino, Yoko Yamakata, Kiyoharu Aizawa, Ramesh C. Jain

Proceedings of the CEA '21: Proceedings of the 13th International Workshop on Multimedia for Cooking and Eating Activities, 2021

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

Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021