Ting-Yun (Charlotte) Chang
Hi, I'm Ting-Yun Chang 張婷雲. I am a 4th-year PhD student at USC CS, co-advised by Jesse Thomason and Robin Jia. I am interested in (1) understanding -> control large language models' behavior and (2) multimodal learning of language and vision.
Previously, I did my bachelor's and master's degrees in Taiwan, both in Computer Science. I was advised by Yun-Nung (Vivian) Chen at National Taiwan University and Chi-Jen Lu at Academia Sinica.
         


  Experience
Research Assistant Fall 2021 - University of Southern California Advisor: Prof. Jesse Thomason and Prof. Robin Jia

Research Assistant 2020 - 2021 Academia Sinica, Taiwan Advisor: Prof. Chi-Jen Lu

Research Assistant 2018 - 2020 NTU CSIE Miulab Advisor: Prof. Yun-Nung (Vivian) Chen

Applied Scientist Intern Spring 2020 Amazon Alexa AI Hosts: Dr. Yang Liu and Dr. Dilek Hakkani-Tür


  Publications
When Parts Are Greater Than Sums: Individual LLM Components Can Outperform Full Models Ting-Yun Chang, Jesse Thomason, and Robin Jia EMNLP 2024 (main) [Paper] [Code] [Blog] [Video]

Do Localization Methods Actually Localize Memorized Data in LLMs? A Tale of Two Benchmarks Ting-Yun Chang, Jesse Thomason, and Robin Jia NAACL 2024 (main) [Paper] [Code] [Slides] [Video]

Data Curation Alone Can Stabilize In-context Learning Ting-Yun Chang, Robin Jia ACL 2023 (main) [Paper] [Code] [Slides] [Video]

CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks Tejas Srinivasan, Ting-Yun Chang, Leticia Pinto Alva, Georgios Chochlakis, Mohammad Rostami, and Jesse Thomason NeurIPS 2022 Datasets and Benchmarks Track [Paper] [Code] [Video]

Rethinking Why Intermediate-Task Fine-Tuning Works Ting-Yun Chang, Chi-Jen Lu Findings of EMNLP 2021 [Paper] [Code] [Slides] [Video]

Go Beyond Plain Fine-tuning: Improving Pretrained Models for Social Commonsense Ting-Yun Chang, Yang Liu, Karthik Gopalakrishnan, Behnam Hedayatnia, Pei Zhou, and Dilek Hakkani-Tür IEEE SLT 2021 [Paper] [Slides]

Incorporating Commonsense Knowledge Graph in Pretrained Models for Social Commonsense Tasks Ting-Yun Chang, Yang Liu, Karthik Gopalakrishnan, Behnam Hedayatnia, Pei Zhou, and Dilek Hakkani-Tür DeeLIO Workshop@EMNLP 2020 (best paper award) [Paper] [Slides]

TinyGAN: Distilling BigGAN for Conditional Image Generation Ting-Yun Chang, Chi-Jen Lu Asian Conference on Computer Vision 2020 [Paper] [Code] [Demo] [Video]

What Does This Word Mean? Explaining Contextualized Embeddings with Natural Language Definition Ting-Yun Chang, Yun-Nung Chen EMNLP 2019 [Paper] [Thesis] [Code]


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