Chi, Ta-Chung

4 publications

NeurIPS 2025 Principled Fine-Tuning of LLMs from User-Edits: A Medley of Preference, Supervision, and Reward Dipendra Misra, Aldo Pacchiano, Ta-Chung Chi, Ge Gao

NeurIPS 2022 KERPLE: Kernelized Relative Positional Embedding for Length Extrapolation Ta-Chung Chi, Ting-Han Fan, Peter J Ramadge, Alexander Rudnicky

ICML 2022 Training Discrete Deep Generative Models via Gapped Straight-Through Estimator Ting-Han Fan, Ta-Chung Chi, Alexander I. Rudnicky, Peter J Ramadge

AAAI 2020 Just Ask: An Interactive Learning Framework for Vision and Language Navigation Ta-Chung Chi, Minmin Shen, Mihail Eric, Seokhwan Kim, Dilek Hakkani-Tür