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Weiyu Zhang

6 papers hereh-index 7141 citations37 works total

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

author position
  • middle author5
  • last author1

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.CV1
  • cs.SE1
same name
  • Weiyu Zhang — 7 papers, h 22
  • Weiyu Zhang — 5 papers, h 2
  • Weiyu Zhang — 2 papers, h 2
  • Weiyu Zhang — 2 papers, h 5
  • Weiyu Zhang — 1 paper, h 8
  • Weiyu Zhang — 1 paper, h 4

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 citedBianCang: A Traditional Chinese Medicine Large Language Model

29 citations · 44 across the 6 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

ContiGuard: A Framework for Continual Toxicity Detection Against Evolving Evasive Perturbations

Hankun Kang, Xin Miao, Jianhao Chen +5

Toxicity detection mitigates the dissemination of toxic content (e.g., hateful comments, posts, and messages within online social actions) to safeguard a healthy online social envi…

cs.CL2025

A Survey on Training-free Alignment of Large Language Models

Birong Pan, Yongqi Li, Weiyu Zhang +6

The alignment of large language models (LLMs) aims to ensure their outputs adhere to human values, ethical standards, and legal norms. Traditional alignment methods often rely on r…

cs.CL2024★ 29 cited

BianCang: A Traditional Chinese Medicine Large Language Model

Sibo Wei, Xueping Peng, Yi-Fei Wang +8

The surge of large language models (LLMs) has driven significant progress in medical applications, including traditional Chinese medicine (TCM). However, current medical LLMs strug…

cs.CL2023★ 15 cited

Medical Question Summarization with Entity-driven Contrastive Learning

Wenpeng Lu, Sibo Wei, Xueping Peng +3

By summarizing longer consumer health questions into shorter and essential ones, medical question-answering systems can more accurately understand consumer intentions and retrieve…

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