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Shramay Palta

Shramay Palta has 2 papers in our library, in 2023–2026, most of them on Language models & pretraining, Reasoning, Interpretability; often with Rachel Rudinger, Sarah Wiegreffe.

2 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 3 · 15 works · 46 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 52 times in our library · ⭐ Paper Stars ranking: #7395

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 Maryland, College ParkCollege Park · United States2022–2026 · 12 paperscurrent

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 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksSocial Sciences · 1 workArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workSafety Research · 1 work

🧭 Topics 4Research subjects and languages the work is about.Bias, fairness & safety · 1 workInterpretability · 1 workReasoning · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20261 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. FORK: A Bite-Sized Test Set for Probing Culinary Cultural Biases in Commonsense Reasoning Models (2023 · 67 citations)
    Commonsense QA systems are usually assumed to encode universal knowledge. Many everyday facts, however, depend on culture, such as whether to tip or which utensil fits a dish. This paper asks whether such systems quietly adopt a US viewpoint. The authors focus on food customs and build FORK (Food ORiented cultural…
  2. Arguments that Alter Minds: LLM Rationales Sway Human (and LLM) Notions of Plausibility (2026)
    Multiple-choice commonsense benchmarks assume that the gold answer is the one people find most plausible. But most answers are neither certain nor impossible, so arguments can push their plausibility up or down. This paper asks whether LLM-written arguments change how humans, and LLMs, rate an answer's plausibility.

 Co-authors here

2 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 52 times (of the 149,439 papers whose bibliographies we read); 24 citing papers with a page here →.

Updated

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