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1. PACE: A Proxy for Agentic Capability Evaluation
   2026-07-02alphaXiv arXiv S2
2. What do Language Models Learn and When? The Implicit Curriculum Hypothesis
   arXiv.org2026-04-09alphaXiv arXiv S2
3. Massively Multilingual Joint Segmentation and Glossing
   Annual Meeting of the Association for Computational Linguistics2026-01-16alphaXiv arXiv S2
4. Synthetic Socratic Debates: Examining Persona Effects on Moral Decision and Persuasion Dynamics
   Conference on Empirical Methods in Natural Language Processing2025-06-14alphaXiv arXiv S2
5. BehaviorBox: Automated Discovery of Fine-Grained Performance Differences Between Language Models
   Annual Meeting of the Association for Computational Linguistics2025-06-02alphaXiv arXiv S2
6. Not-Just-Scaling Laws: Towards a Better Understanding of the Downstream Impact of Language Model Design Decisions
   Conference on Empirical Methods in Natural Language Processing2025-03-05alphaXiv arXiv S2
7. What Goes Into a LM Acceptability Judgment? Rethinking the Impact of Frequency and Length
   North American Chapter of the Association for Computational Linguistics2024-11-04alphaXiv arXiv S2
8. SigMoreFun Submission to the SIGMORPHON Shared Task on Interlinear Glossing
   Special Interest Group on Computational Morphology and Phonology Workshop2023S2
9. Generalized Glossing Guidelines: An Explicit, Human- and Machine-Readable, Item-and-Process Convention for Morphological Annotation
   Special Interest Group on Computational Morphology and Phonology Workshop2023S2