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Kiran Ramnath

Kiran Ramnath has 2 papers in our library, in 2025–2026; often with Kang Zhou, Sangmin Woo, Han Ding.

2 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 3 · 19 works · 31 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 21 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #8045

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

🎓University of Illinois Urbana-ChampaignUrbana · United States2020–2026 · 6 paperscurrent🏢AmazonSeattle · United States2025–2026 · 4 paperscurrent
🏛️University of Illinois at Urbana-ChampaignUrbana · United States2019–2021Education 2019–2021 · MS, Electrical and Computer Engineering

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

 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).Computer Science · 2 worksArts and Humanities · 1 workArtificial Intelligence · 2 worksInformation Systems · 2 worksLanguage and Linguistics · 1 work

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. A Systematic Survey of Automatic Prompt Optimization Techniques (2025 · 40 citations)
    Large language models react unpredictably to small changes in prompt wording, ordering or formatting. Manual prompt engineering is therefore laborious and quickly becomes outdated as models change. This survey by an Amazon Web Services team reviews black-box Automatic Prompt Optimization (APO): methods that improve…
  2. Learning to Ideate for Machine Learning Engineering Agents (2026 · 2 citations)
    Agents for machine learning engineering (MLE) often stop once they have one working solution and do not keep refining it.

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. A Systematic Survey of Automatic Prompt Optimization TechniquesConference on Empirical Methods in Natural Language Processing (EMNLP)Kiran Ramnath, Kang Zhou, Sheng Guan, et al.2025 · 40 citations
  2. Learning to Ideate for Machine Learning Engineering AgentsConference of the European Chapter of the Association for Computational Linguistics (EACL)Yunxiang Zhang, Kang Zhou, Zhichao Xu, et al.2026 · 2 citations
  3. BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow Generation ↗Findings of the Association for Computational Linguistics: EACL 2026 · no summary yetBo Yuan et al.2026

 Co-authors here

10 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 21 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated

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