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Saloni Potdar

Saloni Potdar has 2 papers in our library, in 2018–2025, most of them on Evaluation & benchmarks, Language models & pretraining, Multilingual & cross-lingual NLP; often with Bowen Zhou, Haoyu Wang, Min Li.

2 papers in our library · 2018–2025

OpenAlex · ORCID · Wikidata · h-index 12 · 51 works · 763 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 116 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #4852

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

🏢AppleHerzliya · Israel2026 · 1 papercurrent🏢IBMArmonk · United States2017–2022 · 16 papers🏢AppleCupertino · United States2023–2025 · 8 papersEmployment🎓Massachusetts Institute of TechnologyCambridge · United States2020–2021 · 4 papers🔬IBM Research - Thomas J. Watson Research CenterYorktown Heights · United States2017–2018 · 3 papers🎓Rensselaer Polytechnic InstituteTroy · United States2021 · 2 papers
🏛️Carnegie Mellon University School of Computer SciencePittsburgh · United StatesEducation · Masters in Intelligent Information System, Language Technologies Institute

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 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 4Research subjects and languages the work is about.Evaluation & benchmarks · 2 worksEnglish · 1 workLanguage models & pretraining · 1 workMultilingual & cross-lingual NLP · 1 work

 Works by year

2020s

20251 paper

2010s

20181 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Diverse Few-Shot Text Classification with Multiple Metrics (2018 · 291 citations)
    Most few-shot learning research assumes that all tasks are drawn from one large, homogeneous collection, as with Omniglot or ImageNet.
  2. Do Large Language Models have an English Accent? Evaluating and Improving the Naturalness of Multilingual LLMs (2025 · 25 citations)
    Multilingual LLMs are trained mostly on English data, so their output in other languages often carries English-like word choices and sentence structures, much like a speaker with a foreign accent.

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. Diverse Few-Shot Text Classification with Multiple MetricsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Mo Yu, Xiaoxiao Guo, Jinfeng Yi, et al.2018 · 291 citations
  2. Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetHaoyu Wang et al.2019 · 135 citations
  3. Do Large Language Models have an English Accent? Evaluating and Improving the Naturalness of Multilingual LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Yanzhu Guo, Simone Conia, Zelin Zhou, et al.2025 · 25 citations
  4. Over-Searching in Search-Augmented Large Language Models ↗Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetRoy Xie et al.2026

 Co-authors here

8 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 116 times (of the 149,439 papers whose bibliographies we read); 15 citing papers with a page here →.

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