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Kiante Brantley

Kiante Brantley has 2 papers in our library, in 2022–2024, most of them on Evaluation & benchmarks; often with Hannaneh Hajishirzi, Jack Hessel, Prithviraj Ammanabrolu.

2 papers in our library · 2022–2024

OpenAlex · ORCID · h-index 8 · 48 works · 262 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 198 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #5680

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

🎓Cornell UniversityIthaca · United States2022–2026 · 16 paperscurrent🎓Harvard UniversityCambridge · United States2024–2026 · 15 papersEmployment since 2024 · Comnputer Sciencecurrent🔬Harvard University PressCambridge · United States2026 · 2 paperscurrent🎓University of Maryland, College ParkCollege Park · United States2017–2021 · 8 papers🎓Cornell TechNew York · United States2023–2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksHistory and Philosophy of Science · 1 work

🧭 Topics 1Research subjects and languages the work is about.Evaluation & benchmarks · 1 work

 Works by year

2020s

20241 paper20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization (2022 · 174 citations)
    The paper asks whether reinforcement learning is a practical way to align pre-trained language models with human preferences.
  2. Reviewer2: Optimizing Review Generation Through Prompt Generation (2024 · 27 citations)
    Authors without many colleagues to critique their drafts have few chances to get feedback before formal peer review.

All works

3 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. Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy OptimizationarXiv:2210.01241Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kiante Brantley, et al.2022 · 174 citations
  2. Non-Monotonic Sequential Text Generation ↗arXiv (Cornell University) · no summary yetSean Welleck et al.2019 · 101 citations
  3. Reviewer2: Optimizing Review Generation Through Prompt GenerationarXiv:2402.10886Zhaolin Gao, Kiante Brantley, Thorsten Joachims2024 · 27 citations

 Co-authors here

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

 Cited by

Papers of our library cite their works 198 times (of the 149,439 papers whose bibliographies we read); 42 citing papers with a page here →.

Updated

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