Si-An Chen

18 papers A* 2Journal 12Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
Preserving Zero-shot Capability in Supervised Fine-tuning for Multi-label Text Classification.
NAACL (Findings)
Si-An Chen, Hsuan-Tien Lin, Chih-Jen Lin
2024 A* conf
TableRAG: Million-Token Table Understanding with Language Models.
NeurIPS
Si-An Chen, Lesly Miculicich, Julian Eisenschlos, Zifeng Wang, Zilong Wang, Yanfei Chen, Yasuhisa Fujii, Hsuan-Tien Lin, Chen-Yu Lee, Tomas Pfister
2024 J jnl
TableRAG: Million-Token Table Understanding with Language Models.
CoRR
Si-An Chen, Lesly Miculicich, Julian Martin Eisenschlos, Zifeng Wang, Zilong Wang, Yanfei Chen, Yasuhisa Fujii, Hsuan-Tien Lin, Chen-Yu Lee, Tomas Pfister
2023 — conf
Linear Classifier: An Often-Forgotten Baseline for Text Classification.
ACL (2)
Yu-Chen Lin, Si-An Chen, Jie-Jyun Liu, Chih-Jen Lin
2023 J jnl
Linear Classifier: An Often-Forgotten Baseline for Text Classification.
CoRR
Yu-Chen Lin, Si-An Chen, Jie-Jyun Liu, Chih-Jen Lin
2023 J jnl
Score-based Conditional Generation with Fewer Labeled Data by Self-calibrating Classifier Guidance.
CoRR
Paul Kuo-Ming Huang, Si-An Chen, Hsuan-Tien Lin
2023 J jnl
TSMixer: An All-MLP Architecture for Time Series Forecast-ing.
Trans. Mach. Learn. Res.
Si-An Chen, Chun-Liang Li, Sercan Ö. Arik, Nathanael C. Yoder, Tomas Pfister
2023 J jnl
TSMixer: An all-MLP Architecture for Time Series Forecasting.
CoRR
Si-An Chen, Chun-Liang Li, Nate Yoder, Sercan Ö. Arik, Tomas Pfister
2023 J jnl
Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models.
CoRR
Cheng-Yu Hsieh, Si-An Chen, Chun-Liang Li, Yasuhisa Fujii, Alexander Ratner, Chen-Yu Lee, Ranjay Krishna, Tomas Pfister
2022 — conf
Even the Simplest Baseline Needs Careful Re-investigation: A Case Study on XML-CNN.
NAACL-HLT
Si-An Chen, Jie-Jyun Liu, Tsung-Han Yang, Hsuan-Tien Lin, Chih-Jen Lin
2021 A* conf
A Unified View of cGANs with and without Classifiers.
NeurIPS
Si-An Chen, Chun-Liang Li, Hsuan-Tien Lin
2021 J jnl
A Unified View of cGANs with and without Classifiers.
CoRR
Si-An Chen, Chun-Liang Li, Hsuan-Tien Lin
2021 J jnl
Improving Model Compatibility of Generative Adversarial Networks by Boundary Calibration.
CoRR
Si-An Chen, Chun-Liang Li, Hsuan-Tien Lin
2021 — conf
Parameter Selection: Why We Should Pay More Attention to It.
ACL/IJCNLP (2)
Jie-Jyun Liu, Tsung-Han Yang, Si-An Chen, Chih-Jen Lin
2021 J jnl
Parameter Selection: Why We Should Pay More Attention to It.
CoRR
Jie-Jyun Liu, Tsung-Han Yang, Si-An Chen, Chih-Jen Lin
2020 J jnl
Active deep Q-learning with demonstration.
Mach. Learn.
Si-An Chen, Voot Tangkaratt, Hsuan-Tien Lin, Masashi Sugiyama
2018 J jnl
Active Deep Q-learning with Demonstration.
CoRR
Si-An Chen, Voot Tangkaratt, Hsuan-Tien Lin, Masashi Sugiyama
2017 J jnl
libact: Pool-based Active Learning in Python.
CoRR
Yao-Yuan Yang, Shao-Chuan Lee, Yu-An Chung, Tung-En Wu, Si-An Chen, Hsuan-Tien Lin