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Yang Chen

4 papers hereh-index 4271 citations7 works total

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

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.CV1
same name
  • Yang Chen — 80 papers, h 25
  • Yang Chen — 77 papers, h 21
  • Yang Chen — 35 papers, h 39
  • Yang Chen — 32 papers, h 15
  • Yang Chen — 17 papers, h 16
  • Yang Chen — 14 papers, h 12

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

most citedCan Language Models be Instructed to Protect Personal Information?

5 citations · 7 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2024

Granular Privacy Control for Geolocation with Vision Language Models

Ethan Mendes, Yang Chen, James Hays +3

Vision Language Models (VLMs) are rapidly advancing in their capability to answer information-seeking questions. As these models are widely deployed in consumer applications, they…

cs.CL2024

Constrained Decoding for Cross-lingual Label Projection

Duong Minh Le, Yang Chen, Alan Ritter +1

Zero-shot cross-lingual transfer utilizing multilingual LLMs has become a popular learning paradigm for low-resource languages with no labeled training data. However, for NLP tasks…

cs.CV2023★ 2 cited

UniIR: Training and Benchmarking Universal Multimodal Information Retrievers

Cong Wei, Yang Chen, Haonan Chen +5

Existing information retrieval (IR) models often assume a homogeneous format, limiting their applicability to diverse user needs, such as searching for images with text description…

cs.CL2023★ 5 cited

Can Language Models be Instructed to Protect Personal Information?

Yang Chen, Ethan Mendes, Sauvik Das +2

Large multimodal language models have proven transformative in numerous applications. However, these models have been shown to memorize and leak pre-training data, raising serious…

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