Ting-Yun Chang

24 papers A* 3B 1Journal 12Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
Vibe Checker: Aligning Code Evaluation with Human Preference.
CoRR
Ming Zhong, Xiang Zhou, Ting-Yun Chang, Qingze Wang, Nan Xu, Xiance Si, Dan Garrette, Shyam Upadhyay, Jeremiah Liu, Jiawei Han, Benoit Schillings, Jiao Sun
2025 A* conf
Why Do Some Inputs Break Low-Bit LLM Quantization?
EMNLP
Ting-Yun Chang, Muru Zhang, Jesse Thomason, Robin Jia
2025 J jnl
Why Do Some Inputs Break Low-Bit LLM Quantization?
CoRR
Ting-Yun Chang, Muru Zhang, Jesse Thomason, Robin Jia
2024 J jnl
Development of a virtual teaching module for advanced semiconductor fabrication and its learning effectiveness analysis.
Comput. Appl. Eng. Educ.
Wernhuar Tarng, Jen-Kai Huang, Jen-Chu Shu, Yu-Hsuan Lin, Ting-Yun Chang, Hsin-Yu Jwo, Chun-Wei Tang
2024 — conf
Do Localization Methods Actually Localize Memorized Data in LLMs? A Tale of Two Benchmarks.
NAACL-HLT
Ting-Yun Chang, Jesse Thomason, Robin Jia
2024 A* conf
When Parts Are Greater Than Sums: Individual LLM Components Can Outperform Full Models.
EMNLP
Ting-Yun Chang, Jesse Thomason, Robin Jia
2024 J jnl
When Parts are Greater Than Sums: Individual LLM Components Can Outperform Full Models.
CoRR
Ting-Yun Chang, Jesse Thomason, Robin Jia
2023 — conf
Data Curation Alone Can Stabilize In-context Learning.
ACL (1)
Ting-Yun Chang, Robin Jia
2023 J jnl
Do Localization Methods Actually Localize Memorized Data in LLMs?
CoRR
Ting-Yun Chang, Jesse Thomason, Robin Jia
2022 A* conf
CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks.
NeurIPS
Tejas Srinivasan, Ting-Yun Chang, Leticia Leonor Pinto Alva, Georgios Chochlakis, Mohammad Rostami, Jesse Thomason
2022 J jnl
CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks.
CoRR
Tejas Srinivasan, Ting-Yun Chang, Leticia Leonor Pinto Alva, Georgios Chochlakis, Mohammad Rostami, Jesse Thomason
2022 J jnl
Careful Data Curation Stabilizes In-context Learning.
CoRR
Ting-Yun Chang, Robin Jia
2021 — conf
Go Beyond Plain Fine-Tuning: Improving Pretrained Models for Social Commonsense.
SLT
Ting-Yun Chang, Yang Liu, Karthik Gopalakrishnan, Behnam Hedayatnia, Pei Zhou, Dilek Hakkani-Tür
2021 J jnl
Go Beyond Plain Fine-tuning: Improving Pretrained Models for Social Commonsense.
CoRR
Ting-Yun Chang, Yang Liu, Karthik Gopalakrishnan, Behnam Hedayatnia, Pei Zhou, Dilek Hakkani-Tür
2021 J jnl
Incorporating Commonsense Knowledge Graph in Pretrained Models for Social Commonsense Tasks.
CoRR
Ting-Yun Chang, Yang Liu, Karthik Gopalakrishnan, Behnam Hedayatnia, Pei Zhou, Dilek Hakkani-Tür
2021 — conf
Rethinking Why Intermediate-Task Fine-Tuning Works.
EMNLP (Findings)
Ting-Yun Chang, Chi-Jen Lu
2021 J jnl
Rethinking Why Intermediate-Task Fine-Tuning Works.
CoRR
Ting-Yun Chang, Chi-Jen Lu
2020 — conf
TinyGAN: Distilling BigGAN for Conditional Image Generation.
ACCV (4)
Ting-Yun Chang, Chi-Jen Lu
2020 J jnl
TinyGAN: Distilling BigGAN for Conditional Image Generation.
CoRR
Ting-Yun Chang, Chi-Jen Lu
2019 — conf
Leveraging Hierarchical Category Knowledge for Data-Imbalanced Multi-Label Diagnostic Text Understanding.
LOUHI@EMNLP
Shang-Chi Tsai, Ting-Yun Chang, Yun-Nung Chen
2019 — conf
What Does This Word Mean? Explaining Contextualized Embeddings with Natural Language Definition.
EMNLP/IJCNLP (1)
Ting-Yun Chang, Yun-Nung Chen
2018 J jnl
xSense: Learning Sense-Separated Sparse Representations and Textual Definitions for Explainable Word Sense Networks.
CoRR
Ting-Yun Chang, Ta-Chung Chi, Shang-Chi Tsai, Yun-Nung Chen
2016 — conf
A Meaning-based English Math Word Problem Solver with Understanding, Reasoning and Explanation.
COLING (Demos)
Chao-Chun Liang, Shih-hong Tsai, Ting-Yun Chang, Yi-Chung Lin, Keh-Yih Su
2014 B conf
Median thinking style predicts the individual differences in processing capacity.
CogSci
Ting-Yun Chang, Cheng-Ta Yang