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Tyler A. Chang
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2020 – today
- 2024
- [j3]Tyler A. Chang, Benjamin K. Bergen:
Language Model Behavior: A Comprehensive Survey. Comput. Linguistics 50(1): 293-350 (2024) - [c11]Cheril Shah, Yashashree Chandak, Atharv Mahesh Mane, Benjamin Bergen, Tyler A. Chang:
Correlations between Multilingual Language Model Geometry and Crosslingual Transfer Performance. LREC/COLING 2024: 4059-4066 - [c10]Tyler A. Chang, Katrin Tomanek, Jessica Hoffmann, Nithum Thain, Erin MacMurray van Liemt, Kathleen S. Meier-Hellstern, Lucas Dixon:
Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial Topics. LREC/COLING 2024: 4729-4743 - [c9]Tyler A. Chang, Catherine Arnett, Zhuowen Tu, Ben Bergen:
When Is Multilinguality a Curse? Language Modeling for 250 High- and Low-Resource Languages. EMNLP 2024: 4074-4096 - [i17]Catherine Arnett, Tyler A. Chang, Benjamin K. Bergen:
A Bit of a Problem: Measurement Disparities in Dataset Sizes Across Languages. CoRR abs/2403.00686 (2024) - [i16]Tyler A. Chang, Katrin Tomanek, Jessica Hoffmann, Nithum Thain, Erin van Liemt, Kathleen S. Meier-Hellstern, Lucas Dixon:
Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial Topics. CoRR abs/2403.08904 (2024) - [i15]Catherine Arnett, Pamela D. Rivière, Tyler A. Chang, Sean Trott:
Different Tokenization Schemes Lead to Comparable Performance in Spanish Number Agreement. CoRR abs/2403.13754 (2024) - [i14]Tyler A. Chang, Catherine Arnett, Zhuowen Tu, Benjamin K. Bergen:
Goldfish: Monolingual Language Models for 350 Languages. CoRR abs/2408.10441 (2024) - [i13]Tyler A. Chang, Dheeraj Rajagopal, Tolga Bolukbasi, Lucas Dixon, Ian Tenney:
Scalable Influence and Fact Tracing for Large Language Model Pretraining. CoRR abs/2410.17413 (2024) - 2023
- [j2]Sean Trott, Cameron R. Jones
, Tyler A. Chang, James A. Michaelov
Do Large Language Models Know What Humans Know? Cogn. Sci. 47(7) (2023) - [c8]Tyler A. Chang, Kishaloy Halder, Neha Anna John, Yogarshi Vyas, Yassine Benajiba, Miguel Ballesteros, Dan Roth:
Characterizing and Measuring Linguistic Dataset Drift. ACL (1) 2023: 8953-8967 - [c7]James A. Michaelov
Structural Priming Demonstrates Abstract Grammatical Representations in Multilingual Language Models. EMNLP 2023: 3703-3720 - [i12]Tyler A. Chang, Benjamin K. Bergen:
Language Model Behavior: A Comprehensive Survey. CoRR abs/2303.11504 (2023) - [i11]Tyler A. Chang, Kishaloy Halder, Neha Anna John, Yogarshi Vyas, Yassine Benajiba, Miguel Ballesteros, Dan Roth:
Characterizing and Measuring Linguistic Dataset Drift. CoRR abs/2305.17127 (2023) - [i10]Tyler A. Chang, Zhuowen Tu, Benjamin K. Bergen:
Characterizing Learning Curves During Language Model Pre-Training: Learning, Forgetting, and Stability. CoRR abs/2308.15419 (2023) - [i9]Catherine Arnett, Tyler A. Chang, James A. Michaelov, Benjamin K. Bergen:
Crosslingual Structural Priming and the Pre-Training Dynamics of Bilingual Language Models. CoRR abs/2310.07929 (2023) - [i8]James A. Michaelov, Catherine Arnett, Tyler A. Chang, Benjamin K. Bergen:
Structural Priming Demonstrates Abstract Grammatical Representations in Multilingual Language Models. CoRR abs/2311.09194 (2023) - [i7]Tyler A. Chang, Catherine Arnett, Zhuowen Tu, Benjamin K. Bergen:
When Is Multilinguality a Curse? Language Modeling for 250 High- and Low-Resource Languages. CoRR abs/2311.09205 (2023) - 2022
- [j1]Tyler A. Chang, Benjamin K. Bergen:
Word Acquisition in Neural Language Models. Trans. Assoc. Comput. Linguistics 10: 1-16 (2022) - [c6]Tyler A. Chang, Benjamin Bergen:
Does Contextual Diversity Hinder Early Word Acquisition? CogSci 2022 - [c5]Cameron R. Jones, Tyler A. Chang, Seana Coulson, James A. Michaelov, Sean Trott, Benjamin Bergen:
Distrubutional Semantics Still Can't Account for Affordances. CogSci 2022 - [c4]Tyler A. Chang, Zhuowen Tu, Benjamin K. Bergen:
The Geometry of Multilingual Language Model Representations. EMNLP 2022: 119-136 - [i6]Tyler A. Chang, Zhuowen Tu, Benjamin K. Bergen:
The Geometry of Multilingual Language Model Representations. CoRR abs/2205.10964 (2022) - [i5]Sean Trott, Cameron R. Jones, Tyler A. Chang, James A. Michaelov, Benjamin K. Bergen:
Do Large Language Models know what humans know? CoRR abs/2209.01515 (2022) - 2021
- [c3]Tyler A. Chang, Yifan Xu, Weijian Xu, Zhuowen Tu:
Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models. ACL/IJCNLP (1) 2021: 4322-4333 - [c2]Weijian Xu, Yifan Xu, Tyler A. Chang, Zhuowen Tu:
Co-Scale Conv-Attentional Image Transformers. ICCV 2021: 9961-9970 - [i4]Weijian Xu, Yifan Xu, Tyler A. Chang, Zhuowen Tu:
Co-Scale Conv-Attentional Image Transformers. CoRR abs/2104.06399 (2021) - [i3]Tyler A. Chang, Yifan Xu, Weijian Xu, Zhuowen Tu:
Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models. CoRR abs/2106.05505 (2021) - [i2]Tyler A. Chang, Benjamin K. Bergen:
Word Acquisition in Neural Language Models. CoRR abs/2110.02406 (2021) - 2020
- [c1]Tyler A. Chang, Anna N. Rafferty:
Encodings of Source Syntax: Similarities in NMT Representations Across Target Languages. RepL4NLP@ACL 2020: 7-16 - [i1]Tyler A. Chang, Anna N. Rafferty:
Encodings of Source Syntax: Similarities in NMT Representations Across Target Languages. CoRR abs/2005.08177 (2020)
Coauthor Index
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