Xinyang Lu

Xinyang Lu

Publications

2026

De-attribute to Forget for LLM Unlearning

De-attribute to Forget for LLM Unlearning

Xinyang Lu*, Jiabao Pan*, Rachael Hwee Ling Sim, See-Kiong Ng, Anthony Kum Hoe Tung, Bryan Kian Hsiang Low
ICML, 2026
arXiv | bibtex
WaterDrum: Watermarking for Data-centric Unlearning Metric

WaterDrum: Watermarking for Data-centric Unlearning Metric

Xinyang Lu*, Xinyuan Niu*, Gregory Kang Ruey Lau*, Bui Thi Cam Nhung, Rachael Hwee Ling Sim, Fanyu Wen, Chuan-Sheng Foo, See-Kiong Ng, Bryan Kian Hsiang Low
ICLR, 2026
arXiv | bibtex
How to Cure Newton for Unlearning Neural Networks? An Empirical Study from the Hessian Perspective

How to Cure Newton for Unlearning Neural Networks? An Empirical Study from the Hessian Perspective

Nhung Bui*, Xinyang Lu*, Rachael Hwee Ling Sim, See-Kiong Ng, Bryan Kian Hsiang Low
ICLR, 2026
arXiv | bibtex

2025

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

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

Xinyang Lu*, Jingtan Wang*, Zitong Zhao*, Zhongxiang Dai, Chuan-Sheng Foo, See Kiong Ng, Bryan Kian Hsiang Low
ACL, 2025
arXiv | bibtex

2024

Can llms express their uncertainty? an empirical evaluation of confidence elicitation in llms

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
ICLR, 2024
arXiv | bibtex
Global-to-Local Support Spectrums for Language Model Explainability

Global-to-Local Support Spectrums for Language Model Explainability

Lucas Agussurja, Xinyang Lu, Bryan Kian Hsiang Low
Preprint, 2024
arXiv | bibtex
TRACE: TRansformer-based Attribution using Contrastive Embeddings in LLMs

TRACE: TRansformer-based Attribution using Contrastive Embeddings in LLMs

Cheng Wang, Xinyang Lu, See-Kiong Ng, Bryan Kian Hsiang Low
Preprint, 2024
arXiv | bibtex

2023

Action and trajectory planning for urban autonomous driving with hierarchical reinforcement learning

Action and trajectory planning for urban autonomous driving with hierarchical reinforcement learning

Xinyang Lu, Flint Xiaofeng Fan, Tianying Wang
ICML workshop, 2023
arXiv | bibtex

2022

An exploratory study of reactions to bot comments on GitHub

An exploratory study of reactions to bot comments on GitHub

Juan Carlos Farah, Basile Spaenlehauer, Xinyang Lu, Sandy Ingram, Denis Gillet
BotSE workshop, 2022
arXiv | bibtex