Sarah Wiegreffe
Assistant Professor
Studies interpretability and explanation of large language models and the reliability of their reasoning.
Sarah Wiegreffe's lab at UMD works on large language models, reasoning & agents and trustworthy & safe ML. 13 papers since 2023, 7 at top venues, mostly EMNLP and Findings of EMNLP. 3 PhD students. 1 alumnus.
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 54%
- PhD students
- 3
- MS students
- 0
- alumni listed
- 1
Papers by yearfrom the lab homepage, 2023–2026
- 1 papers2026 · T1 0 · collecting
- 4 papers2025 · T1 3
- 5 papers2024 · T1 1
- 3 papers2023 · T1 3
T1 venuesOtherVenues: EMNLP, Findings of EMNLP, ICLR, ACL, EACL
Research focuspaper titles that use each topic's words
- Large language models4 papers
- Reasoning & agents1 paper
- Trustworthy & safe ML0 papers
- explanation0 papers
- reliability0 papers
Paper list
From the lab homepage.
20261 paper
20254 papers
- ICLR (T1)Answer, Assemble, Ace: Understanding How LMs Answer Multiple Choice Questions (opens in a new tab)
- GEM workshop at ACLFine-Tune on the Format First: Improving Multiple-Choice Evaluation for Intermediate LLM Checkpoints (opens in a new tab)
- ICML (T1)MIB: A Mechanistic Interpretability Benchmark (opens in a new tab)
- ICLR (T1)On Linear Representations and Pretraining Data Frequency in Language Models (opens in a new tab)
20245 papers
- Findings of EMNLPMeasuring and Improving Attentiveness to Partial Inputs with Counterfactuals (opens in a new tab)
- BlackBoxNLP workshop at EMNLPMechanistic? (opens in a new tab)
- Findings of EMNLPPlausibly Problematic Questions in Multiple-Choice Benchmarks for Commonsense Reasoning (opens in a new tab)
- NeurIPS Datasets and BenchmarksThe Art of Saying No: Contextual Noncompliance in Language Models (opens in a new tab)
- ACL (T1)The Unreasonable Effectiveness of Easy Training Data for Hard Tasks (opens in a new tab)
Where alumni went1 listed, 0% to industry
Industry 0Academia 1
Also to
- Boston University
Apply to UMDFall 2027
Not announced yet
UMD Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- See program page
- English
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- Fee
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Not yet confirmed for this intake.
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Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.