Well-Read Students Learn Better: The Impact of Student Initialization on Knowledge Distillation. - Iulia Turc; Ming-Wei Chang; Kenton Lee; Kristina Toutanova (CoRR, 2019)

High Performance Natural Language Processing. - Gabriel Ilharco; Cesar Ilharco; Iulia Turc; Tim Dettmers; Felipe Ferreira; Kenton Lee (EMNLP (Tutorial Abstracts), 2020)

Learning Task Sampling Policy for Multitask Learning. - Dhanasekar Sundararaman; Henry Tsai; Kuang-Huei Lee; Iulia Turc; Lawrence Carin (EMNLP (Findings), 2021)

Revisiting the Primacy of English in Zero-shot Cross-lingual Transfer. - Iulia Turc; Kenton Lee; Jacob Eisenstein; Ming-Wei Chang; Kristina Toutanova (CoRR, 2021)

Measuring Attribution in Natural Language Generation Models. - Hannah Rashkin; Vitaly Nikolaev; Matthew Lamm; Michael Collins 001; Dipanjan Das 001; Slav Petrov; Gaurav Singh Tomar; Iulia Turc; David Reitter (CoRR, 2021)

The MultiBERTs: BERT Reproductions for Robustness Analysis. - Thibault Sellam; Steve Yadlowsky; Ian Tenney; Jason Wei; Naomi Saphra; Alexander D'Amour; Tal Linzen; Jasmijn Bastings; Iulia Raluca Turc; Jacob Eisenstein; Dipanjan Das 001; Ellie Pavlick (ICLR, 2022)

Canine: Pre-training an Efficient Tokenization-Free Encoder for Language Representation. - Jonathan H. Clark; Dan Garrette; Iulia Turc; John Wieting (Trans. Assoc. Comput. Linguistics, 2022)

Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding. - Kenton Lee; Mandar Joshi; Iulia Raluca Turc; Hexiang Hu; Fangyu Liu 001; Julian Martin Eisenschlos; Urvashi Khandelwal; Peter Shaw 004; Ming-Wei Chang; Kristina Toutanova (ICML, 2023)

Measuring Attribution in Natural Language Generation Models. - Hannah Rashkin; Vitaly Nikolaev; Matthew Lamm; Lora Aroyo; Michael Collins 001; Dipanjan Das 001; Slav Petrov; Gaurav Singh Tomar; Iulia Turc; David Reitter (Comput. Linguistics, 2023)