Alex Warstadt
Assistant Professor
Uses language models to study what grammar they learn and to model human language acquisition.
Alex Warstadt's lab at UCSD works on large language models and data management & big data. 10 papers since 2023, 2 at top venues, mostly Findings of ACL and TACL. Applications close .
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 20%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 0 papers2025 · T1 0
- 3 papers2024 · T1 1
- 7 papers2023 · T1 1
T1 venuesOtherVenues: Findings of ACL, TACL, TMLR
Research focuspaper titles that use each topic's words
- Large language models3 papers
- language acquisition1 paper
- acquisition1 paper
- Data management & big data0 papers
- model human0 papers
Paper list
From the lab homepage.
20243 papers
- Proceedings of the joint international conference on computational linguistics, language resources and evaluation (LREC-COLING ), MayAutomatic annotation of grammaticality in child-caregiver conversations
- TACL (T1)Investigating Critical Period Effects in Language Acquisition through Neural Language Models
- Proceedings of the conference on empirical methods in natural language processing (EMNLP), NovSurprise! Uniform Information Density Isn’t the Whole Story: Predicting Surprisal Contours in Long-form Discourse
20237 papers
- Proceedings of the BabyLM challenge at the conference on computational natural language learning, DecAcquiring linguistic knowledge from multimodal input
- TMLR (T1)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
- Proceedings of the BabyLM challenge at the conference on computational natural language learning, DecFindings of the BabyLM challenge: Sample-efficient pretraining on developmentally plausible corpora
- Proceedings of the annual meeting of the association for computational linguistics (volume 1: Long papers), JulGeneralizing backpropagation for gradient-based interpretability
- Proceedings of the conference on empirical methods in natural language processing (EMNLP), DecQuantifying the redundancy between prosody and text
- Findings of ACLReconstruction probing
- Proceedings of the BabyLM challenge at the conference on computational natural language learning, DecWhisBERT: Multimodal text-audio language modeling on 100M words
Where alumni went
Alumni are not listed on the lab homepage.
Apply to UCSDFall 2027
UCSD CSE Computer Science PhD
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Data
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