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1. Language Models Learn Constructional Semantics, Not To Mention Syntax: Investigating LM Understanding of Paired-Focus Constructions
   Conference on Computational Natural Language Learning2026-05-29alphaXiv arXiv S2
2. Dual Alignment Between Language Model Layers and Human Sentence Processing
   Annual Meeting of the Association for Computational Linguistics2026-04-20alphaXiv arXiv S2
3. Comparing the Humanness of Machine-Generated and Human-Authored Text
   ACM Computing Surveys2026-03-31S2
4. BabyLM Turns 4 and Goes Multilingual: Call for Papers for the 2026 BabyLM Workshop
   arXiv.org2026-02-23alphaXiv arXiv S2
5. Information-Theoretic Storage Cost in Sentence Comprehension
   Conference on Computational Natural Language Learning2026-02-20alphaXiv arXiv S2
6. A Unified Assessment of the Poverty of the Stimulus Argument for Neural Language Models
   arXiv.org2026-02-10alphaXiv arXiv S2
7. Function Words as Statistical Cues for Language Learning
   Annual Meeting of the Association for Computational Linguistics2026-01-29alphaXiv arXiv S2
8. What Do Prosody and Text Convey? Characterizing How Meaningful Information is Distributed Across Multiple Channels
   Annual Meeting of the Association for Computational Linguistics2025-12-18alphaXiv arXiv S2
9. Predicting the Emergence of Induction Heads in Language Model Pretraining
   2025-11-21alphaXiv arXiv S2
10. Using MoTR to Probe Agreement Processing in Russian
    Open Mind2025-10-29S2
11. What Can String Probability Tell Us About Grammaticality?
    Transactions of the Association for Computational Linguistics2025-10-17alphaXiv arXiv S2
12. Bigger is not always better: The importance of human-scale language modeling for psycholinguistics
    Journal of Memory and Language2025-10-01S2
13. Modeling Bottom-up Information Quality during Language Processing
    Conference on Empirical Methods in Natural Language Processing2025-09-21alphaXiv arXiv S2
14. The Harmonic Structure of Information Contours
    Annual Meeting of the Association for Computational Linguistics2025-06-04alphaXiv arXiv S2
15. Unpacking Let Alone: Human-Scale Models Generalize to a Rare Construction in Form but not Meaning
    Conference on Empirical Methods in Natural Language Processing2025-06-04alphaXiv arXiv S2
16. Using Information Theory to Characterize Prosodic Typology: The Case of Tone, Pitch-Accent and Stress-Accent
    Annual Meeting of the Association for Computational Linguistics2025-05-12alphaXiv arXiv S2
17. Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora
    Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning2025-04-10alphaXiv arXiv S2
18. The time scale of redundancy between prosody and linguistic context
    Annual Meeting of the Association for Computational Linguistics2025-03-14alphaXiv arXiv S2
19. Anything Goes? A Crosslinguistic Study of (Im)possible Language Learning in LMs
    Annual Meeting of the Association for Computational Linguistics2025-02-26alphaXiv arXiv S2
20. Language Models Grow Less Humanlike beyond Phase Transition
    Annual Meeting of the Association for Computational Linguistics2025-02-25alphaXiv arXiv S2
21. BabyLM Turns 3: Call for papers for the 2025 BabyLM workshop
    arXiv.org2025-02-15alphaXiv arXiv S2
22. Findings of the Third BabyLM Challenge: Accelerating Language Modeling Research with Cognitively Plausible Data
    Proceedings of the First BabyLM Workshop2025S2
23. Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora
    arXiv.org2024-12-06alphaXiv arXiv S2
24. Surprise! Uniform Information Density Isn’t the Whole Story: Predicting Surprisal Contours in Long-form Discourse
    Conference on Empirical Methods in Natural Language Processing2024-10-21alphaXiv arXiv S2
25. Reverse-Engineering the Reader
    Conference on Empirical Methods in Natural Language Processing2024-10-16alphaXiv arXiv S2
26. On the Role of Context in Reading Time Prediction
    Conference on Empirical Methods in Natural Language Processing2024-09-12alphaXiv arXiv S2
27. How does dependency type mediate gender agreement in Russian?
    Annual Meeting of the Cognitive Science Society2024S2
28. Insights from the first BabyLM Challenge: Training sample-efficient language models on a developmentally plausible corpus
    Annual Meeting of the Cognitive Science Society2024S2
29. Mouse Tracking for Reading (MoTR): A new naturalistic incremental processing measurement tool
    Journal of Memory and Language2024S2
30. Language Model Quality Correlates with Psychometric Predictive Power in Multiple Languages
    Conference on Empirical Methods in Natural Language Processing2023S2
31. Targeted Syntactic Evaluations with Pseudo-languages
    2023S2
32. The Pupil Becomes the Master: Eye-Tracking Feedback for Tuning LLMs
    S2
33. Journal of Memory and Language
    S2
34. Linguistics and Language Models: What Can They Learn from Each Other?
    S2