Xinyang Lu - RankMe

12 papers A* 1Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	WASA: WAtermark-based Source Attribution for Large Language Model-Generated Data. ACL (Findings) Xinyang Lu, Jingtan Wang, Zitong Zhao, Zhongxiang Dai, Chuan-Sheng Foo, See-Kiong Ng, Bryan Kian Hsiang Low
2025	J	`jnl`	WaterDrum: Watermarking for Data-centric Unlearning Metric. CoRR 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
2024	A*	`conf`	Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs. ICLR Miao Xiong, Zhiyuan Hu, Xinyang Lu, Yifei Li, Jie Fu, Junxian He, Bryan Hooi
2024	J	`jnl`	Global-to-Local Support Spectrums for Language Model Explainability. CoRR Lucas Agussurja, Xinyang Lu, Bryan Kian Hsiang Low
2024	J	`jnl`	On Newton's Method to Unlearn Neural Networks. CoRR Nhung Bui, Xinyang Lu, See-Kiong Ng, Bryan Kian Hsiang Low
2024	J	`jnl`	TRACE: TRansformer-based Attribution using Contrastive Embeddings in LLMs. CoRR Cheng Wang, Xinyang Lu, See-Kiong Ng, Bryan Kian Hsiang Low
2023	J	`jnl`	Action and Trajectory Planning for Urban Autonomous Driving with Hierarchical Reinforcement Learning. CoRR Xinyang Lu, Flint Xiaofeng Fan, Tianying Wang
2023	J	`jnl`	Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs. CoRR Miao Xiong, Zhiyuan Hu, Xinyang Lu, Yifei Li, Jie Fu, Junxian He, Bryan Hooi
2023	J	`jnl`	Efficient calculation of the integral equation for simulating 2D TE scattering in a homogeneous medium using the Ewald method and a Gabor frame discretization. CoRR Xinyang Lu, Martijn C. van Beurden, Qingbiao Wu
2023	J	`jnl`	WASA: WAtermark-based Source Attribution for Large Language Model-Generated Data. CoRR Jingtan Wang, Xinyang Lu, Zitong Zhao, Zhongxiang Dai, Chuan-Sheng Foo, See-Kiong Ng, Bryan Kian Hsiang Low
2022	—	`conf`	An exploratory study of reactions to bot comments on GitHub. BotSE@ICSE Juan Carlos Farah, Basile Spaenlehauer, Xinyang Lu, Sandy Ingram, Denis Gillet
2019	J	`jnl`	DBSCAN: Optimal Rates For Density-Based Cluster Estimation. J. Mach. Learn. Res. Daren Wang, Xinyang Lu, Alessandro Rinaldo