Samuel Bowman
Associate Professor of Computer Science and Data Science
Researches the evaluation and safety of large language models, including scalable oversight and natural language understanding benchmarks.
Samuel Bowman's lab at NYU works on large language models and interpretability, evaluation & safety of LMs. 7 papers since 2023, 7 at top venues, mostly ACL and TMLR. Applications close .
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 100%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 0 papers2025 · T1 0
- 0 papers2024 · T1 0
- 7 papers2023 · T1 7
T1 venuesOtherVenues: ACL, TMLR, ICML
Research focuspaper titles that use each topic's words
- Large language models5 papers
- Interpretability, evaluation & safety of LMs0 papers
- benchmarks0 papers
- language understanding0 papers
- scalable0 papers
Paper list
From the lab homepage.
20237 papers
- ACL (T1)(QA)²: Question Answering with Questionable Assumptions (opens in a new tab)
- TMLR (T1)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (opens in a new tab)
- ACL (T1)Instruction Induction: From Few Examples to Natural Language Task Descriptions (opens in a new tab)
- TMLR (T1)Inverse Scaling: When Bigger Isn’t Better (opens in a new tab)
- ICML (T1)Pretraining Language Models with Human Preferences (opens in a new tab)
- ACL (T1)ScoNe: Benchmarking Negation Reasoning in Language Models With Fine-Tuning and In-Context Learning (opens in a new tab)
- ACL (T1)What Do NLP Researchers Believe? Results of the NLP Community Metasurvey (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to NYUFall 2027
Computer Science PhD (Courant / Tandon)
- Round
- Single round (December)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Your notes
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Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage
- Members
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- Alumni
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