Encodings of Source Syntax: Similarities in NMT Representations Across Target Languages. - Tyler A. Chang; Anna N. Rafferty (RepL4NLP@ACL, 2020)

Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models. - Tyler A. Chang; Yifan Xu 009; Weijian Xu; Zhuowen Tu (ACL/IJCNLP (1), 2021)

Co-Scale Conv-Attentional Image Transformers. - Weijian Xu; Yifan Xu 009; Tyler A. Chang; Zhuowen Tu (ICCV, 2021)

Does Contextual Diversity Hinder Early Word Acquisition? - Tyler A. Chang; Benjamin Bergen 001 (CogSci, 2022)

Distrubutional Semantics Still Can't Account for Affordances. - Cameron R. Jones; Tyler A. Chang; Seana Coulson; James A. Michaelov; Sean Trott; Benjamin Bergen 001 (CogSci, 2022)

The Geometry of Multilingual Language Model Representations. - Tyler A. Chang; Zhuowen Tu; Benjamin K. Bergen 001 (EMNLP, 2022)

Word Acquisition in Neural Language Models. - Tyler A. Chang; Benjamin K. Bergen 001 (Trans. Assoc. Comput. Linguistics, 2022)

Characterizing and Measuring Linguistic Dataset Drift. - Tyler A. Chang; Kishaloy Halder; Neha Anna John; Yogarshi Vyas; Yassine Benajiba; Miguel Ballesteros; Dan Roth (ACL (1), 2023)

Structural Priming Demonstrates Abstract Grammatical Representations in Multilingual Language Models. - James A. Michaelov; Catherine Arnett; Tyler A. Chang; Ben Bergen 001 (EMNLP, 2023)

Crosslingual Structural Priming and the Pre-Training Dynamics of Bilingual Language Models. - Catherine Arnett; Tyler A. Chang; James A. Michaelov; Benjamin K. Bergen 001 (CoRR, 2023)

Do Large Language Models Know What Humans Know? - Sean Trott; Cameron R. Jones; Tyler A. Chang; James A. Michaelov; Benjamin K. Bergen 001 (Cogn. Sci., 2023)

Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial Topics. - Tyler A. Chang; Katrin Tomanek; Jessica Hoffmann; Nithum Thain; Erin MacMurray van Liemt; Kathleen S. Meier-Hellstern; Lucas Dixon (LREC/COLING, 2024)

Correlations between Multilingual Language Model Geometry and Crosslingual Transfer Performance. - Cheril Shah; Yashashree Chandak; Atharv Mahesh Mane; Benjamin Bergen 001; Tyler A. Chang (LREC/COLING, 2024)

When Is Multilinguality a Curse? Language Modeling for 250 High- and Low-Resource Languages. - Tyler A. Chang; Catherine Arnett; Zhuowen Tu; Ben Bergen 001 (EMNLP, 2024)

A Bit of a Problem: Measurement Disparities in Dataset Sizes Across Languages. - Catherine Arnett; Tyler A. Chang; Benjamin K. Bergen 001 (CoRR, 2024)

Different Tokenization Schemes Lead to Comparable Performance in Spanish Number Agreement. - Catherine Arnett; Pamela D. Rivière; Tyler A. Chang; Sean Trott (CoRR, 2024)

Goldfish: Monolingual Language Models for 350 Languages. - Tyler A. Chang; Catherine Arnett; Zhuowen Tu; Benjamin K. Bergen 001 (CoRR, 2024)

Characterizing Learning Curves During Language Model Pre-Training: Learning, Forgetting, and Stability. - Tyler A. Chang; Zhuowen Tu; Benjamin K. Bergen 001 (Trans. Assoc. Comput. Linguistics, 2024)

Language Model Behavior: A Comprehensive Survey. - Tyler A. Chang; Benjamin K. Bergen 001 (Comput. Linguistics, 2024)

On the Acquisition of Shared Grammatical Representations in Bilingual Language Models. - Catherine Arnett; Tyler A. Chang; James A. Michaelov; Ben Bergen 001 (ACL (1), 2025)

Scalable Influence and Fact Tracing for Large Language Model Pretraining. - Tyler A. Chang; Dheeraj Rajagopal; Tolga Bolukbasi; Lucas Dixon; Ian Tenney (ICLR, 2025)

Bigram Subnetworks: Mapping to Next Tokens in Transformer Language Models. - Tyler A. Chang; Benjamin K. Bergen 001 (CoRR, 2025)