Papers by Jasper Jian

3 papers
Humans and transformer LMs: Abstraction drives language learning (2026.eacl-long)

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Challenge: lexical semantic and syntactic categories emerge using novel divergence-based metrics .
Approach: They compare transformer-based language model's linguistic categories learning to exemplar-based accounts of human language acquisition.
Outcome: The proposed model can be used as an existence proof for human language acquisition.
Syntactic Substitutability as Unsupervised Dependency Syntax (2023.emnlp-main)

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Challenge: Syntax is a latent hierarchical structure which underpins the robust and compositional nature of human language.
Approach: They propose a method to induce syntactic dependencies theory-agnostically by substituting words from the same category for words at either end of a dependency.
Outcome: The proposed method achieves 79.5% recall on long-distance subject-verb agreement constructions compared to 8.9% using a previous method.
Mechanisms vs. Outcomes: Probing for Syntax Fails to Explain Performance on Targeted Syntactic Evaluations (2025.emnlp-main)

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Challenge: Existing studies have not evaluated whether probing accuracy predicts syntactic outcomes.
Approach: They evaluate 32 open-weight transformer models and find that probing fails to predict outcomes of targeted syntax evaluations across English linguistic phenomena.
Outcome: The proposed model does not predict syntactic outcomes on English linguistic phenomena.

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