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Ting-Yun Chang
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CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks
T Srinivasan, TY Chang, LLP Alva, G Chochlakis, M Rostami, J Thomason
NeurIPS 2022 (Datasets and Benchmarks), 2022
392022
A Meaning-based English Math Word Problem Solver with Understanding, Reasoning and Explanation
CC Liang, SH Tsai, TY Chang, YC Lin, KY Su
COLING 2016: System Demonstrations, 151–155, 2016
39*2016
What does this word mean? explaining contextualized embeddings with natural language definition
TY Chang, YN Chen
EMNLP 2019, 6064-6070, 2019
372019
Incorporating Commonsense Knowledge Graph in Pretrained Models for Social Commonsense Tasks
TY Chang, Y Liu, K Gopalakrishnan, B Hedayatnia, P Zhou, ...
Proceedings of DeeLIO, EMNLP 2020 workshop, 2020
362020
TinyGAN: Distilling BigGAN for Conditional Image Generation
TY Chang, CJ Lu
The 15th Asian Conference on Computer Vision (ACCV 2020), 2020
252020
Rethinking Why Intermediate-Task Fine-Tuning Works
TY Chang, CJ Lu
Findings of EMNLP 2021, 2021
232021
xSense: Learning Sense-Separated Sparse Representations and Textual Definitions for Explainable Word Sense Networks
TY Chang, TC Chi, SC Tsai, YN Chen
arXiv preprint arXiv:1809.03348, 2018
232018
Data Curation Alone Can Stabilize In-context Learning
TY Chang, R Jia
ACL 2023, 2022
20*2022
Leveraging hierarchical category knowledge for data-imbalanced multi-label diagnostic text understanding
SC Tsai, TY Chang, YN Chen
Proceedings of LOUHI 2019, EMNLP workshop, 39-43, 2019
122019
Go Beyond Plain Fine-tuning: Improving Pretrained Models for Social Commonsense
TY Chang, Y Liu, K Gopalakrishnan, B Hedayatnia, P Zhou, ...
2021 IEEE Spoken Language Technology Workshop, 2020
12020
Do Localization Methods Actually Localize Memorized Data in LLMs? A Tale of Two Benchmarks
TY Chang, J Thomason, R Jia
NAACL 2024, 2023
2023
Probing Contextualized Word Embeddings with Definitions
TY Chang, YN Chen
https://www.airitilibrary.com/Publication/alDetailedMesh1?DocID=U0001 …, 2020
2020
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Articles 1–12