Institute of Information Science, Academia Sinica

Effective Compression of Language Models by Combining Pruning and Knowledge Distillation

IEEE International Conference on Computers, Software, and Applications (COMPSAC), July 2024

Chi-Yu Chiu, Ding-Yong Hong, Pangfeng Liu and Jan-Jan Wu

Contrastive Learning for DeepFake Classification and Localization via Multi-Label Ranking

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2024

Cheng-Yao Hong, Yen-Chi Hsu and Tyng-Luh Liu

A Study on Incorporating Whisper for Robust Speech Assessment

IEEE International Conference on Multimedia and Expo (ICME), July 2024

Ryandhimas E. Zezario, Yu-Wen Chen, Szu-Wei Fu, Yu Tsao, Hsin-Min Wang, and Chiou-Shann Fuh

Generating Attractive and Authentic Copywriting from Customer Reviews

NAACL 2024, June 2024

Yu-Xiang Lin, Wei-Yun Ma

Plug-in Language Model: Controlling Text Generation with a Simple Regression Model

NAACL 2024, June 2024

Nai-Chi Yang, Wei-Yun Ma, Pu-Jen Cheng

Automatic Construction of a Chinese Review Dataset for Aspect Sentiment Triplet Extraction via Iterative Weak Supervision

LREC-COLING 2024, May 2024

Chia-Wen Lu, Ching-Wen Yang, Wei-Yun Ma

Decoding the genome of bloodsucking midge Forcipomyia taiwana (diptera: Ceratopogonidae): Insights into odorant receptor expansion

Insect Biochemistry and Molecular Biology, May 2024

Ming-Der Lin, Chia-Hsien Chuang, Chih-Hsin Kao, Shu-Hwa Chen, Szu-Chieh Wang, Ping-Heng Hsieh, Guan-Yu Chen, Chun-Chia Mao, Jeng-Yi Li, Mei-Yeh Jade Lu, Chung-Yen Lin

DTC: A Drift-Tolerant Coding to Improve the Performance and Energy Efficiency of Multi-Level-Cell Phase-Change Memory

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems , October 2023

Yi-Shen Chen, Yuan-Hao Chang, and Tei-Wei Kuo

TRAIN: A Reinforcement Learning Based Timing-Aware Neural Inference on Intermittent Systems

ACM/IEEE International Conference on Computer-Aided Design (ICCAD), October 2023

Shu-Ting Cheng, Wen Sheng Lim, Chia-Heng Tu and Yuan-Hao Chang

Multi-Task Pseudo-Label Learning for Non-Intrusive Speech Quality Assessment Model

IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP2024), April 2024

Ryandhimas Zezario, Bo-Ren Brian Bai, Chiou-Shann Fuh, Hsin-Min Wang, and Yu Tsao

Is Explanation the Cure? Misinformation Mitigation in the Short-term and Long-term

in Proceedings of The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), December 2023

Yi-Li Hsu, Shih-Chieh Dai, Aiping Xiong, Lun-Wei Ku

LLM-in-the-loop: Leveraging Large Language Model for Thematic Analysis

in Proceedings of The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), December 2023

Shih-Chieh Dai, Aiping Xiong, Lun-Wei Ku

Location-Aware Visual Question Generation with Lightweight Models

in Proceedings of The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), December 2023

Nicholas Collin Suwono, Justin Chen, Tun Min Hung, Ting-Hao Kenneth Huang, I-Bin Liao, Yung-Hui Li, Lun-Wei Ku, Shao-Hua Sun

A formal treatment of bidirectional typing

33rd European Symposium on Programming (ESOP 2024), April 2024

Chen, Liang-Ting and Ko, Hsiang-Shang