Ting-Yun Chang

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 18

Top Topics

Image Generation

Commonsense Knowledge

Sparse Representation

Top Venues

Publications

Ting-Yun Chang, Jesse Thomason, Robin Jia
Do Localization Methods Actually Localize Memorized Data in LLMs? A Tale of Two Benchmarks. NAACL-HLT (2024)
Ting-Yun Chang, Jesse Thomason, Robin Jia
When Parts are Greater Than Sums: Individual LLM Components Can Outperform Full Models. CoRR (2024)
Ting-Yun Chang, Robin Jia
Data Curation Alone Can Stabilize In-context Learning. ACL (1) (2023)
Ting-Yun Chang, Jesse Thomason, Robin Jia
Do Localization Methods Actually Localize Memorized Data in LLMs? CoRR (2023)
Tejas Srinivasan, Ting-Yun Chang, Leticia Leonor Pinto Alva, Georgios Chochlakis, Mohammad Rostami, Jesse Thomason
CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks. CoRR (2022)
Tejas Srinivasan, Ting-Yun Chang, Leticia Leonor Pinto Alva, Georgios Chochlakis, Mohammad Rostami, Jesse Thomason
CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks. NeurIPS (2022)
Ting-Yun Chang, Robin Jia
Careful Data Curation Stabilizes In-context Learning. CoRR (2022)
Ting-Yun Chang, Chi-Jen Lu
Rethinking Why Intermediate-Task Fine-Tuning Works. EMNLP (Findings) (2021)
Ting-Yun Chang, Chi-Jen Lu
Rethinking Why Intermediate-Task Fine-Tuning Works. CoRR (2021)
Ting-Yun Chang, Yang Liu, Karthik Gopalakrishnan, Behnam Hedayatnia, Pei Zhou, Dilek Hakkani-Tür
Go Beyond Plain Fine-tuning: Improving Pretrained Models for Social Commonsense. CoRR (2021)
Ting-Yun Chang, Yang Liu, Karthik Gopalakrishnan, Behnam Hedayatnia, Pei Zhou, Dilek Hakkani-Tür
Go Beyond Plain Fine-Tuning: Improving Pretrained Models for Social Commonsense. SLT (2021)
Ting-Yun Chang, Yang Liu, Karthik Gopalakrishnan, Behnam Hedayatnia, Pei Zhou, Dilek Hakkani-Tür
Incorporating Commonsense Knowledge Graph in Pretrained Models for Social Commonsense Tasks. CoRR (2021)
Ting-Yun Chang, Chi-Jen Lu
TinyGAN: Distilling BigGAN for Conditional Image Generation. CoRR (2020)
Ting-Yun Chang, Chi-Jen Lu
TinyGAN: Distilling BigGAN for Conditional Image Generation. ACCV (4) (2020)
Ting-Yun Chang, Yun-Nung Chen
What Does This Word Mean? Explaining Contextualized Embeddings with Natural Language Definition. EMNLP/IJCNLP (1) (2019)
Shang-Chi Tsai, Ting-Yun Chang, Yun-Nung Chen
Leveraging Hierarchical Category Knowledge for Data-Imbalanced Multi-Label Diagnostic Text Understanding. LOUHI@EMNLP (2019)
Ting-Yun Chang, Ta-Chung Chi, Shang-Chi Tsai, Yun-Nung Chen
xSense: Learning Sense-Separated Sparse Representations and Textual Definitions for Explainable Word Sense Networks. CoRR (2018)
Chao-Chun Liang, Shih-Hong Tsai, Ting-Yun Chang, Yi-Chung Lin, Keh-Yih Su
A Meaning-based English Math Word Problem Solver with Understanding, Reasoning and Explanation. COLING (Demos) (2016)
Ting-Yun Chang, Cheng-Ta Yang
Median thinking style predicts the individual differences in processing capacity. CogSci (2014)