Adding Recurrence to Pretrained Transformers for Improved Efficiency and Context Size. - Davis Yoshida; Allyson Ettinger; Kevin Gimpel (CoRR, 2020)

Reconsidering the Past: Optimizing Hidden States in Language Models. - Davis Yoshida; Kevin Gimpel (EMNLP (Findings), 2021)

NF4 Isn't Information Theoretically Optimal (and that's Good). - Davis Yoshida (CoRR, 2023)

Generative Explore-Exploit: Training-free Optimization of Generative Recommender Systems using LLM Optimizers. - Lütfi Kerem Senel; Besnik Fetahu; Davis Yoshida; Zhiyu Chen 001; Giuseppe Castellucci; Nikhita Vedula; Jason Ingyu Choi; Shervin Malmasi (ACL (1), 2024)

MAP's not dead yet: Uncovering true language model modes by conditioning away degeneracy. - Davis Yoshida; Kartik Goyal; Kevin Gimpel (ACL (1), 2024)

Making the Most of your Model: Methods for Finetuning and Applying Pretrained Transformers. - Davis Yoshida (CoRR, 2024)