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researcher

Keun Hee Park

Arizona State University

4 papers hereh-index 387 citations4 works total

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

author position
  • middle author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL4
affiliations
  • Arizona State University
same name
  • Keun Hee Park — 3 papers, h 2

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 citedAdversarial Demonstration Attacks on Large Language Models

17 citations · 18 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2024

Improbable Bigrams Expose Vulnerabilities of Incomplete Tokens in Byte-Level Tokenizers

Eugene Jang, Kimin Lee, Jin-Woo Chung +2

Tokenization is a crucial step that bridges human-readable text with model-readable discrete tokens. However, recent studies have revealed that tokenizers can be exploited to elici…

cs.CL2023★ 1 cited

Interpreting Answers to Yes-No Questions in User-Generated Content

Shivam Mathur, Keun Hee Park, Dhivya Chinnappa +2

Interpreting answers to yes-no questions in social media is difficult. Yes and no keywords are uncommon, and the few answers that include them are rarely to be interpreted what the…

cs.CL2023

Interpreting Indirect Answers to Yes-No Questions in Multiple Languages

Zijie Wang, Md Mosharaf Hossain, Shivam Mathur +8

Yes-no questions expect a yes or no for an answer, but people often skip polar keywords. Instead, they answer with long explanations that must be interpreted. In this paper, we foc…

cs.CL2023★ 17 cited

Adversarial Demonstration Attacks on Large Language Models

Jiongxiao Wang, Zichen Liu, Keun Hee Park +5

With the emergence of more powerful large language models (LLMs), such as ChatGPT and GPT-4, in-context learning (ICL) has gained significant prominence in leveraging these models…

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