Not X, but When: Diagnosing a Mandarin LLM Writing Tic through Contextual Appropriateness
A pragmatics-grounded framework for judging when the Mandarin “not X, but Y” construction is contextually appropriate, and why LLMs overuse it.
Research Archive
Papers and preprints grouped by year, with direct links to papers, code, datasets, and project materials.
A pragmatics-grounded framework for judging when the Mandarin “not X, but Y” construction is contextually appropriate, and why LLMs overuse it.
A sparse autoencoder-guided framework for using model internals to engineer post-training data for LLM reinforcement learning.
Accepted at ACL 2026 Main Conference. Code available on GitHub.
Deep learning-based image synthesis and co-registration for fast eddy current and bulk motion correction in diffusion MRI. Magna Cum Laude Merit Award.
A transfer-learning approach that shortens diffusion tensor imaging in stroke patients from 9.7 minutes to 1 minute while preserving image quality and tractography.
Accepted at EMNLP 2025 Main Conference. An earlier version appeared at the XLLM Workshop @ ACL 2025.