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Huan Liu

4 papers hereh-index 579 citations9 works total

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

author position
  • last author4

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

fields
  • cs.CL4
same name
  • Huan Liu — 47 papers, h 54
  • Huan Liu — 43 papers, h 107
  • Huan Liu — 17 papers, h 14
  • Huan Liu — 17 papers, h 11
  • Huan Liu — 17 papers, h 6
  • Huan Liu — 15 papers, h 13

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
20212023
most citedDebiasing Word Embeddings with Nonlinear Geometry

4 citations · 9 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2023★ 2 cited

Neural Authorship Attribution: Stylometric Analysis on Large Language Models

Tharindu Kumarage, Huan Liu

Large language models (LLMs) such as GPT-4, PaLM, and Llama have significantly propelled the generation of AI-crafted text. With rising concerns about their potential misuse, there…

cs.CL2022★ 4 cited

Debiasing Word Embeddings with Nonlinear Geometry

Lu Cheng, Nayoung Kim, Huan Liu

Debiasing word embeddings has been largely limited to individual and independent social categories. However, real-world corpora typically present multiple social categories that po…

cs.CL2022

Text Transformations in Contrastive Self-Supervised Learning: A Review

Amrita Bhattacharjee, Mansooreh Karami, Huan Liu

Contrastive self-supervised learning has become a prominent technique in representation learning. The main step in these methods is to contrast semantically similar and dissimilar…

cs.CL2021★ 3 cited

"Let's Eat Grandma": Does Punctuation Matter in Sentence Representation?

Mansooreh Karami, Ahmadreza Mosallanezhad, Michelle V Mancenido +1

Neural network-based embeddings have been the mainstream approach for creating a vector representation of the text to capture lexical and semantic similarities and dissimilarities.…

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