Xuyang Wu

Orcid: 0000-0002-8807-0016

Affiliations:
  • Santa Clara University, CA, USA
  • University College London, UK (former)


According to our database1, Xuyang Wu authored at least 15 papers between 2014 and 2025.

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

Timeline

2014
2016
2018
2020
2022
2024
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
Soft prompt tuning for augmenting dense retrieval with large language models.
Knowl. Based Syst., 2025

Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
ChainRank-DPO: Chain Rank Direct Preference Optimization for LLM Rankers.
CoRR, 2024

CLERF: Contrastive LEaRning for Full Range Head Pose Estimation.
CoRR, 2024

Meta Learning to Rank for Sparsely Supervised Queries.
CoRR, 2024

Full-range Head Pose Geometric Data Augmentations.
CoRR, 2024

Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and Prompts.
CoRR, 2024

HPE-CogVLM: New Head Pose Grounding Task Exploration on Vision Language Model.
CoRR, 2024

Passage-specific Prompt Tuning for Passage Reranking in Question Answering with Large Language Models.
CoRR, 2024

Q-PEFT: Query-dependent Parameter Efficient Fine-tuning for Text Reranking with Large Language Models.
CoRR, 2024

Mathematical Foundation and Corrections for Full Range Head Pose Estimation.
CoRR, 2024

Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2023
Soft Prompt Tuning for Augmenting Dense Retrieval with Large Language Models.
CoRR, 2023

2022
A Multi-task Learning Framework for Product Ranking with BERT.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

2014
Energy Consumption Data Based Machine Anomaly Detection.
Proceedings of the Second International Conference on Advanced Cloud and Big Data, 2014


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