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Sadhana Kumaravel

Sadhana Kumaravel has 2 papers in our library, in 2022–2025, most of them on Coreference resolution, Machine translation, Language models & pretraining; often with Austin Blodgett, Ibrahim Abdelaziz, Jeffrey Flanigan.

2 papers in our library · 2022–2025

OpenAlex · h-index 8 · 25 works · 370 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 27 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #9320

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

🏢IBMArmonk · United States2020–2025 · 15 papers🎓Georgetown UniversityWashington · United States2021–2022 · 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 worksInformation Systems · 1 work

🧭 Topics 5Research subjects and languages the work is about.Evaluation & benchmarks · 1 workLanguage models & pretraining · 1 workCoreference resolution · 1 workMachine translation · 1 workSemantic parsing & meaning representation · 1 work

 Works by year

2020s

20251 paper20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. DocAMR: Multi-Sentence AMR Representation and Evaluation (2022 · 24 citations)
    AMR was built for single sentences, so a document needs one graph that joins sentences through their coreference links.
  2. NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls (2025 · 16 citations)
    Benchmarks for LLM tool calling usually treat an API sequence as a set of independent calls. Many real tasks instead need nesting, where one call's result becomes an argument to a later call. NESTFUL (IBM Research) targets this gap with more than 1,800 nested sequences built from MathQA and StarCoder2-Instruct.

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. DocAMR: Multi-Sentence AMR Representation and EvaluationTahira Naseem, Austin Blodgett, Sadhana Kumaravel, et al.Machine translation · 24 citations
  2. NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API CallsConference on Empirical Methods in Natural Language Processing (EMNLP)Kinjal Basu, Ibrahim Abdelaziz, Kiran Kate, et al.2025 · 16 citations
  3. Slide, Constrain, Parse, Repeat: Synchronous SlidingWindows for Document AMR Parsing ↗arXiv:2305.17273 · no summary yetSadhana Kumaravel et al.2023

 Co-authors here

12 of 13 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 27 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated

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