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Jiaang Li

University of Copenhagen

16 papers hereh-index 8267 citations22 works total

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

author position
  • first author3
  • middle author11

Across the 14 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CL7
  • cs.CV5
  • cs.AI2
  • cs.LG1
  • cs.RO1
affiliations
  • University of Copenhagen
Homepage
same name
  • Jiaang Li — 4 papers, h 3
  • Jiaang Li — 1 paper
  • Jiaang Li — 1 paper
  • Jiaang Li — 1 paper
  • Jiaang Li — 1 paper

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 citedCopyright Violations and Large Language Models

8 citations · 18 across the 16 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CL2023★ 8 cited

Copyright Violations and Large Language Models

Antonia Karamolegkou, Jiaang Li, Li Zhou +1

Language models may memorize more than just facts, including entire chunks of texts seen during training. Fair use exemptions to copyright laws typically allow for limited use of c…

cs.CL2023

PokemonChat: Auditing ChatGPT for Pokémon Universe Knowledge

Laura Cabello, Jiaang Li, Ilias Chalkidis

The recently released ChatGPT model demonstrates unprecedented capabilities in zero-shot question-answering. In this work, we probe ChatGPT for its conversational understanding and…

cs.CL2023★ 5 cited

Structural Similarities Between Language Models and Neural Response Measurements

Jiaang Li, Antonia Karamolegkou, Yova Kementchedjhieva +3

Large language models (LLMs) have complicated internal dynamics, but induce representations of words and phrases whose geometry we can study. Human language processing is also opaq…

cs.CL2023★ 2 cited

Do Vision and Language Models Share Concepts? A Vector Space Alignment Study

Jiaang Li, Yova Kementchedjhieva, Constanza Fierro +1

Large-scale pretrained language models (LMs) are said to ``lack the ability to connect utterances to the world'' (Bender and Koller, 2020), because they do not have ``mental models…

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