Elamur Research⌕
☰
home / authors / Minae Kwon

Minae Kwon

Minae Kwon has 2 papers in our library, in 2020–2023, most of them on Language models & pretraining; often with Dorsa Sadigh, Noah D. Goodman, Robert Hawkins.

2 papers in our library · 2020–2023

OpenAlex · ORCID · Wikidata · h-index 13 · 20 works · 776 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 216 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #7724

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

🎓Stanford UniversityStanford · United States2018–2024 · 15 paperscurrent🎓Cornell UniversityIthaca · United States2016–2018 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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

20231 paper20201 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Reward Design with Language Models (2023 · 73 citations)
    Telling an RL agent what to do is difficult. Hand-written reward functions struggle to capture fuzzy goals, such as wanting a negotiator to be "versatile," and they are prone to reward hacking. Learning rewards from labels instead requires large, costly datasets that must be gathered again for every new user. The…
  2. Continual Adaptation for Efficient Machine Communication (2020 · 38 citations)
    Neural language models can reproduce the conventions in their training data, but unlike people they cannot invent new shorthand with a specific partner during an interaction.

All works

4 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. Human-level play in the game of Diplomacy by combining language models with strategic reasoning ↗Science · no summary yetAnton Bakhtin et al.2022 · 328 citations
  2. Evaluating Human-Language Model Interaction ↗arXiv (Cornell University) · no summary yetMina Lee et al.2022 · 110 citations
  3. Reward Design with Language ModelsarXiv:2303.00001Minae Kwon, Sang Michael Xie, Kalesha Bullard, et al.2023 · 73 citations
  4. Continual Adaptation for Efficient Machine CommunicationConference on Computational Natural Language Learning (CoNLL)Robert Hawkins, Minae Kwon, Dorsa Sadigh, et al.2020 · 38 citations

 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 216 times (of the 149,439 papers whose bibliographies we read); 57 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/minae-kwon/