Ko, Ching-Yun

13 publications

ICLR 2025 Large Language Models Can Become Strong Self-Detoxifiers Ching-Yun Ko, Pin-Yu Chen, Payel Das, Youssef Mroueh, Soham Dan, Georgios Kollias, Subhajit Chaudhury, Tejaswini Pedapati, Luca Daniel

NeurIPSW 2024 MemReasoner: A Memory-Augmented LLM Architecture for Multi-Hop Reasoning Ching-Yun Ko, Sihui Dai, Payel Das, Georgios Kollias, Subhajit Chaudhury, Aurelie Lozano

ICML 2024 What Would Gauss Say About Representations? Probing Pretrained Image Models Using Synthetic Gaussian Benchmarks Ching-Yun Ko, Pin-Yu Chen, Payel Das, Jeet Mohapatra, Luca Daniel

ICMLW 2023 On Robustness-Accuracy Characterization of Large Language Models Using Synthetic Datasets Ching-Yun Ko, Pin-Yu Chen, Payel Das, Yung-Sung Chuang, Luca Daniel

MLHC 2023 Sample-Specific Debiasing for Better Image-Text Models Peiqi Wang, Yingcheng Liu, Ching-Yun Ko, William M. Wells, Seth Berkowitz, Steven Horng, Polina Golland

ICML 2022 Revisiting Contrastive Learning Through the Lens of Neighborhood Component Analysis: An Integrated Framework Ching-Yun Ko, Jeet Mohapatra, Sijia Liu, Pin-Yu Chen, Luca Daniel, Lily Weng

NeurIPSW 2022 SynBench: Task-Agnostic Benchmarking of Pretrained Representations Using Synthetic Data Ching-Yun Ko, Pin-Yu Chen, Jeet Mohapatra, Payel Das, Luca Daniel

NeurIPSW 2022 Visual Pre-Training for Navigation: What Can We Learn from Noise? Yanwei Wang, Ching-Yun Ko, Pulkit Agrawal

AISTATS 2021 Hidden Cost of Randomized Smoothing Jeet Mohapatra, Ching-Yun Ko, Lily Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel

AAAI 2020 Fastened CROWN: Tightened Neural Network Robustness Certificates Zhaoyang Lyu, Ching-Yun Ko, Zhifeng Kong, Ngai Wong, Dahua Lin, Luca Daniel

NeurIPS 2020 Higher-Order Certification for Randomized Smoothing Jeet Mohapatra, Ching-Yun Ko, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel

IJCAI 2019 MiSC: Mixed Strategies Crowdsourcing Ching Yun Ko, Rui Lin, Shu Li, Ngai Wong

ICML 2019 POPQORN: Quantifying Robustness of Recurrent Neural Networks Ching-Yun Ko, Zhaoyang Lyu, Lily Weng, Luca Daniel, Ngai Wong, Dahua Lin