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Kristina Gligorić

Kristina Gligorić has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining; often with Dan Jurafsky, Cinoo Lee, Emmanuel J. Candès.

2 papers in our library · 2025–2026

OpenAlex · ORCID · Wikidata · h-index 12 · 71 works · 955 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 86 times in our library · 6 more in our library without a page yet · ⭐ Paper Stars ranking: #9089

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Can Unconfident LLM Annotations Be Used for Confident Conclusions? (2025 · 19 citations)
    Computational social scientists increasingly add LLM annotations to costly human labels. However, LLM errors and biases can quietly distort downstream statistics such as prevalences or regression coefficients. The authors propose CONFIDENCE-DRIVEN INFERENCE, which asks an LLM for both a label and a verbalized…
  2. Attention to Non-Adopters (2026 · 1 citation)
    This position paper argues that chat-model research mostly learns from people who already use LLMs, through interaction logs, preference data and user studies.

All works

8 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Grounding Gaps in Language Model Generations ↗Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yetOmar Shaikh et al.2024 · 66 citations
  2. AnthroScore: A Computational Linguistic Measure of Anthropomorphism ↗Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetMyra Cheng et al.2024 · 31 citations
  3. NLP Systems That Can't Tell Use from Mention Censor Counterspeech, but Teaching the Distinction Helps ↗Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yetKristina Gligorić et al.2024 · 13 citations
  4. Othering and Low Status Framing of Immigrant Cuisines in US Restaurant Reviews and Large Language Models ↗Proceedings of the International AAAI Conference on Web and Social Media · no summary yetYiwei Luo, Kristina Gligorić, Dan Jurafsky2024 · 11 citations
  5. Artificial intelligence for food innovation ↗Nature Food · no summary yetBianca Datta et al.2026 · 6 citations
  6. What can large language models do for sustainable food? ↗arXiv (Cornell University) · no summary yetAnna T. Thomas et al.2025 · 2 citations
  7. Attention to Non-AdoptersFindings of the Association for Computational LinguisticsKaitlyn Zhou, Kristina Gligorić, Myra Cheng, et al.2026 · 1 citation

 Co-authors here

4 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 86 times (of the 149,439 papers whose bibliographies we read); 20 citing papers with a page here →.

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