collaborators

8 papers

cs.CL2025

BabyLM's First Constructions: Causal probing provides a signal of learning

Joshua Rozner, Leonie Weissweiler, Cory Shain

Construction grammar posits that language learners acquire constructions (form-meaning pairings) from the statistics of their environment. Recent work supports this hypothesis by s…

cs.CL2025

MultiBLiMP 1.0: A Massively Multilingual Benchmark of Linguistic Minimal Pairs

Jaap Jumelet, Leonie Weissweiler, Joakim Nivre +1

We introduce MultiBLiMP 1.0, a massively multilingual benchmark of linguistic minimal pairs, covering 101 languages and 2 types of subject-verb agreement, containing more than 128,…

cs.CL2025

Both Direct and Indirect Evidence Contribute to Dative Alternation Preferences in Language Models

Qing Yao, Kanishka Misra, Leonie Weissweiler +1

Language models (LMs) tend to show human-like preferences on a number of syntactic phenomena, but the extent to which these are attributable to direct exposure to the phenomena or…

cs.CL2025

Constructions are Revealed in Word Distributions

Joshua Rozner, Leonie Weissweiler, Kyle Mahowald +1

Construction grammar posits that constructions, or form-meaning pairings, are acquired through experience with language (the distributional learning hypothesis). But how much infor…

cs.CL2025

Linguistic Generalizations are not Rules: Impacts on Evaluation of LMs

Leonie Weissweiler, Kyle Mahowald, Adele Goldberg

Linguistic evaluations of how well LMs generalize to produce or understand language often implicitly take for granted that natural languages are generated by symbolic rules. Accord…

cs.CL2024

Derivational Morphology Reveals Analogical Generalization in Large Language Models

Valentin Hofmann, Leonie Weissweiler, David Mortensen +2

What mechanisms underlie linguistic generalization in large language models (LLMs)? This question has attracted considerable attention, with most studies analyzing the extent to wh…

cs.AI2024

Models Can and Should Embrace the Communicative Nature of Human-Generated Math

Sasha Boguraev, Ben Lipkin, Leonie Weissweiler +1

Math is constructed by people for people: just as natural language corpora reflect not just propositions but the communicative goals of language users, the math data that models ar…

cs.CL2024

SYNTHEVAL: Hybrid Behavioral Testing of NLP Models with Synthetic CheckLists

Raoyuan Zhao, Abdullatif Köksal, Yihong Liu +3

Traditional benchmarking in NLP typically involves using static held-out test sets. However, this approach often results in an overestimation of performance and lacks the ability t…