Paula Buttery
Professor of Language and Machine Learning
Develops small language models trained on developmentally plausible data, including the Pico framework for designing and pretraining them, and applies NLP to language learning and assessment.
Paula Buttery's lab at Cambridge works on large language models. 19 papers since 2023, 3 at top venues, mostly EACL and EMNLP. Applications close .
At a glance
- papers, 2023–2026
- 5/ year
- at T1 venues
- 16%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 4 papers2026 · T1 0 · collecting
- 5 papers2025 · T1 2
- 8 papers2024 · T1 1
- 2 papers2023 · T1 0
T1 venuesOtherVenues: EACL, EMNLP, Findings of ACL, Findings of EMNLP, ACL
Research focuspaper titles that use each topic's words
- Large language models10 papers
- small2 papers
- plausible0 papers
- trained0 papers
- pretraining0 papers
Paper list
From DBLP.
20264 papers
- EACLBeyond Names: How Grammatical Gender Markers Bias LLM-based Educational Recommendations (opens in a new tab)
- Findings of ACLBias Dynamics in BabyLMs: Towards a Compute-Efficient Sandbox for Democratising Pre-Training Debiasing (opens in a new tab)
- BEAMulti-component student writing profiles for expert-aligned automated evaluation of English learner essays (opens in a new tab)
- EACLPictureStories: Predicting the Task Adherence of Language Learner Answers to a Picture Story-Based Writing Task (opens in a new tab)
20255 papers
- BEAA Survey on Automated Distractor Evaluation in Multiple-Choice Tasks (opens in a new tab)
- Comput. Educ. Artif. Intell.Assessing how accurately large language models encode and apply the common European framework of reference for languages (opens in a new tab)
- EMNLP (T1)Pico: A Modular Framework for Hypothesis-Driven Small Language Model Research (opens in a new tab)
- ACL (T1)Rubrik's Cube: Testing a New Rubric for Evaluating Explanations on the CUBE dataset (opens in a new tab)
- RANLPTowards CEFR-targeted Text Simplification for Question Adaptation (opens in a new tab)
20248 papers
- LREC/COLINGDistractor Generation Using Generative and Discriminative Capabilities of Transformer-based Models (opens in a new tab)
- LREC/COLINGLogging Keystrokes in Writing by English Learners (opens in a new tab)
- EMNLP (T1)Mitigating Frequency Bias and Anisotropy in Language Model Pre-Training with Syntactic Smoothing (opens in a new tab)
- Findings of ACLPrompting open-source and commercial language models for grammatical error correction of English learner text (opens in a new tab)
- AIED CompanionRecurrent Neural Collaborative Filtering for Knowledge Tracing (opens in a new tab)
- Findings of EMNLPTending Towards Stability: Convergence Challenges in Small Language Models (opens in a new tab)
- AIEDUsing Knowledge Graphs to Improve Question Difficulty Estimation from Text (opens in a new tab)
- Findings of EMNLPUsing LLMs to simulate students' responses to exam questions (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to CambridgeMichaelmas 2027
PhD in Computer Science
- Round
- Funding round (8 Dec 2026)
- Opens
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Confirmed on the program page.
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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
- DBLP
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
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