Zhouhang Xie

Orcid: 0009-0004-6712-0063

According to our database1, Zhouhang Xie authored at least 22 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2025
In-context Ranking Preference Optimization.
CoRR, April, 2025

From Reviews to Dialogues: Active Synthesis for Zero-Shot LLM-based Conversational Recommender System.
CoRR, April, 2025

Improving In-Context Learning with Reasoning Distillation.
CoRR, April, 2025

A Survey on Personalized and Pluralistic Preference Alignment in Large Language Models.
CoRR, April, 2025

Latent Factor Models Meets Instructions:Goal-conditioned Latent Factor Discovery without Task Supervision.
CoRR, February, 2025

Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation.
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Latent Factor Models Meets Instructions: Goal-conditioned Latent Factor Discovery without Task Supervision.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025



2024
GUI Agents: A Survey.
CoRR, 2024

Futga: Towards Fine-grained Music Understanding through Temporally-enhanced Generative Augmentation.
CoRR, 2024

Neighborhood-Based Collaborative Filtering for Conversational Recommendation.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Mitigating Hallucination in Fictional Character Role-Play.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Few-shot Dialogue Strategy Learning for Motivational Interviewing via Inductive Reasoning.
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.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Large Language Models as Zero-Shot Conversational Recommenders.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Factual and Informative Review Generation for Explainable Recommendation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
TCAB: A Large-Scale Text Classification Attack Benchmark.
CoRR, 2022

On Faithfulness and Coherence of Language Explanations for Recommendation Systems.
CoRR, 2022

Identifying Adversarial Attacks on Text Classifiers.
CoRR, 2022

2021
World Food Atlas Project.
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.
Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021


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