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Sarah Masud Preum

Sarah Masud Preum has 3 papers in our library, in 2023–2026, most of them on Language models & pretraining, Sentiment & emotion, Evaluation & benchmarks; often with Joseph Gatto, Parker Seegmiller.

3 papers in our library · 2023–2026

OpenAlex · ORCID · Wikidata · h-index 14 · 94 works · 671 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 15 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #8569

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Chain-of-Thought Embeddings for Stance Detection on Social Media (2023 · 28 citations)
    Social media posts often express stance indirectly, through slang, allusions, or emerging events that an LLM with a fixed knowledge cut-off may not grasp.
  2. How Much Would a Clinician Edit This Draft? Evaluating LLM Alignment for Patient Message Response Drafting (2026)
    Clinicians are increasingly asked to review LLM-generated drafts of replies to patient portal messages. The authors ask whether such drafts actually reduce their workload or just shift effort into editing. With 13 primary care physicians and nurses, they built a taxonomy of what good clinician replies contain: 8…
  3. Measuring Distribution Shift in User Prompts and Its Effects on LLM Performance (2026)
    Deployed LLMs face user prompts that change over time as new tasks and new users appear. Earlier robustness studies usually assumed out-of-distribution shift rather than measuring it. This paper asks how much prompt drift occurs in practice and how it affects instruction-tuned models. The authors present LENS, a…

All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. A Review of Cognitive Assistants for Healthcare ↗ACM Computing Surveys · no summary yetSarah Masud Preum et al.2021 · 76 citations

 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 15 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

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