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Philip S. Yu

7 papers hereh-index 5141 citations9 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author7

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.CR2
  • cs.LG2
same name
  • Philip S. Yu — 287 papers, h 168
  • Philip S. Yu — 85 papers, h 45
  • Philip S. Yu — 29 papers, h 11
  • Philip S. Yu — 28 papers, h 10
  • Philip S. Yu — 28 papers, h 7
  • Philip S. Yu — 24 papers, h 17

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators
Showing 2024Show all

4 papers · 1 filter

cs.LG2024

Recent Advances of Multimodal Continual Learning: A Comprehensive Survey

Dianzhi Yu, Xinni Zhang, Yankai Chen +4

Continual learning (CL) aims to empower machine learning models to learn continually from new data, while building upon previously acquired knowledge without forgetting. As models…

cs.CL2024

TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights

Aiwei Liu, Haoping Bai, Zhiyun Lu +9

Direct Preference Optimization (DPO) has been widely adopted for preference alignment of Large Language Models (LLMs) due to its simplicity and effectiveness. However, DPO is deriv…

cs.CR2024

Can Watermarked LLMs be Identified by Users via Crafted Prompts?

Aiwei Liu, Sheng Guan, Yiming Liu +6

Text watermarking for Large Language Models (LLMs) has made significant progress in detecting LLM outputs and preventing misuse. Current watermarking techniques offer high detectab…

cs.CL2024

WaterSeeker: Pioneering Efficient Detection of Watermarked Segments in Large Documents

Leyi Pan, Aiwei Liu, Yijian Lu +6

Watermarking algorithms for large language models (LLMs) have attained high accuracy in detecting LLM-generated text. However, existing methods primarily focus on distinguishing fu…

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