Xinyang Lu

According to our database, Xinyang Lu authored at least 9 papers between 2019 and 2024.

Collaborative distances:

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

2024

Global-to-Local Support Spectrums for Language Model Explainability.

Lucas Agussurja, Xinyang Lu, Bryan Kian Hsiang Low

CoRR, 2024

TRACE: TRansformer-based Attribution using Contrastive Embeddings in LLMs.

Cheng Wang, Xinyang Lu, See-Kiong Ng, Bryan Kian Hsiang Low

CoRR, 2024

On Newton's Method to Unlearn Neural Networks.

Nhung Bui, Xinyang Lu, See-Kiong Ng, Bryan Kian Hsiang Low

CoRR, 2024

Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs.

Miao Xiong, Zhiyuan Hu, Xinyang Lu, Yifei Li, Jie Fu, Junxian He, Bryan Hooi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Efficient calculation of the integral equation for simulating 2D TE scattering in a homogeneous medium using the Ewald method and a Gabor frame discretization.

Xinyang Lu, Martijn C. van Beurden, Qingbiao Wu

CoRR, 2023

WASA: WAtermark-based Source Attribution for Large Language Model-Generated Data.

Jingtan Wang, Xinyang Lu, Zitong Zhao, Zhongxiang Dai, Chuan-Sheng Foo, See-Kiong Ng, Bryan Kian Hsiang Low

CoRR, 2023

Action and Trajectory Planning for Urban Autonomous Driving with Hierarchical Reinforcement Learning.

Xinyang Lu, Flint Xiaofeng Fan, Tianying Wang

CoRR, 2023

2022

An exploratory study of reactions to bot comments on GitHub.

Juan Carlos Farah, Basile Spaenlehauer, Xinyang Lu, Sandy Ingram, Denis Gillet

Proceedings of the Fourth International Workshop on Bots in Software Engineering, 2022

2019

DBSCAN: Optimal Rates For Density-Based Cluster Estimation.

Daren Wang, Xinyang Lu, Alessandro Rinaldo

J. Mach. Learn. Res., 2019