Tyler A. Chang

According to our database, Tyler A. Chang authored at least 20 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Language Model Behavior: A Comprehensive Survey.

Tyler A. Chang, Benjamin K. Bergen

Comput. Linguistics, March, 2024

Scalable Influence and Fact Tracing for Large Language Model Pretraining.

Tyler A. Chang, Dheeraj Rajagopal, Tolga Bolukbasi, Lucas Dixon, Ian Tenney

CoRR, 2024

Goldfish: Monolingual Language Models for 350 Languages.

Tyler A. Chang, Catherine Arnett, Zhuowen Tu, Benjamin K. Bergen

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

A Bit of a Problem: Measurement Disparities in Dataset Sizes Across Languages.

Catherine Arnett, Tyler A. Chang, Benjamin K. Bergen

CoRR, 2024

When Is Multilinguality a Curse? Language Modeling for 250 High- and Low-Resource Languages.

Tyler A. Chang, Catherine Arnett, Zhuowen Tu, Ben Bergen

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Correlations between Multilingual Language Model Geometry and Crosslingual Transfer Performance.

Cheril Shah, Yashashree Chandak, Atharv Mahesh Mane, Benjamin Bergen, Tyler A. Chang

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

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

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Do Large Language Models Know What Humans Know?

Sean Trott, Cameron R. Jones, Tyler A. Chang, James A. Michaelov, Benjamin K. Bergen

Cogn. Sci., July, 2023

Crosslingual Structural Priming and the Pre-Training Dynamics of Bilingual Language Models.

Catherine Arnett, Tyler A. Chang, James A. Michaelov, Benjamin K. Bergen

CoRR, 2023

Characterizing Learning Curves During Language Model Pre-Training: Learning, Forgetting, and Stability.

Tyler A. Chang, Zhuowen Tu, Benjamin K. Bergen

CoRR, 2023

Structural Priming Demonstrates Abstract Grammatical Representations in Multilingual Language Models.

James A. Michaelov, Catherine Arnett, Tyler A. Chang, Ben Bergen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Characterizing and Measuring Linguistic Dataset Drift.

Tyler A. Chang, Kishaloy Halder, Neha Anna John, Yogarshi Vyas, Yassine Benajiba, Miguel Ballesteros, Dan Roth

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Word Acquisition in Neural Language Models.

Tyler A. Chang, Benjamin K. Bergen

Trans. Assoc. Comput. Linguistics, 2022

The Geometry of Multilingual Language Model Representations.

Tyler A. Chang, Zhuowen Tu, Benjamin K. Bergen

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Distrubutional Semantics Still Can't Account for Affordances.

Cameron R. Jones, Tyler A. Chang, Seana Coulson, James A. Michaelov, Sean Trott, Benjamin Bergen

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Does Contextual Diversity Hinder Early Word Acquisition?

Tyler A. Chang, Benjamin Bergen

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021

Co-Scale Conv-Attentional Image Transformers.

Weijian Xu, Yifan Xu, Tyler A. Chang, Zhuowen Tu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models.

Tyler A. Chang, Yifan Xu, Weijian Xu, Zhuowen Tu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Encodings of Source Syntax: Similarities in NMT Representations Across Target Languages.

Tyler A. Chang, Anna N. Rafferty

Proceedings of the 5th Workshop on Representation Learning for NLP, 2020