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Xiao Pu

Peking University

8 papers hereh-index 6254 citations9 works total

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

author position
  • first author5
  • middle author3

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CL8
affiliations
  • Peking University
same name
  • Xiao Pu — 3 papers, h 7
  • Xiao Pu — 1 paper, h 1
  • Xiao Pu — 1 paper, h 0

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
20232026
most citedSummarization is (Almost) Dead

33 citations · 50 across the 8 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CL2024

B4: A Black-Box Scrubbing Attack on LLM Watermarks

Baizhou Huang, Xiao Pu, Xiaojun Wan

Watermarking has emerged as a prominent technique for LLM-generated content detection by embedding imperceptible patterns. Despite supreme performance, its robustness against adver…

cs.CL2024

Style-Compress: An LLM-Based Prompt Compression Framework Considering Task-Specific Styles

Xiao Pu, Tianxing He, Xiaojun Wan

Prompt compression condenses contexts while maintaining their informativeness for different usage scenarios. It not only shortens the inference time and reduces computational costs…

cs.CL2024

Better than Random: Reliable NLG Human Evaluation with Constrained Active Sampling

Jie Ruan, Xiao Pu, Mingqi Gao +2

Human evaluation is viewed as a reliable evaluation method for NLG which is expensive and time-consuming. To save labor and costs, researchers usually perform human evaluation on a…

cs.CL2024★ 15 cited

LLM-based NLG Evaluation: Current Status and Challenges

Mingqi Gao, Xinyu Hu, Jie Ruan +2

Evaluating natural language generation (NLG) is a vital but challenging problem in natural language processing. Traditional evaluation metrics mainly capturing content (e.g. n-gram…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.