Cheng-Yu Hsieh

55 papers A* 14B 2C 1Misc 1Journal 31Unranked 6
YearRankTypeTitle / Venue / Authors
2025 — conf
A Novel Score Function for Ranking Interval-Valued Intuitionistic Fuzzy Values.
IEA/AIE (2)
Shyi-Ming Chen, Cheng-Yu Hsieh, Xin-Yao Zou
2025 J jnl
FocalLens: Instruction Tuning Enables Zero-Shot Conditional Image Representations.
CoRR
Cheng-Yu Hsieh, Pavan Kumar Anasosalu Vasu, Fartash Faghri, Raviteja Vemulapalli, Chun-Liang Li, Ranjay Krishna, Oncel Tuzel, Hadi Pouransari
2025 J jnl
Learning to Reason for Hallucination Span Detection.
CoRR
Hsuan Su, Ting-Yao Hu, Hema Swetha Koppula, Kundan Krishna, Hadi Pouransari, Cheng-Yu Hsieh, Cem Koc, Joseph Yitan Cheng, Oncel Tuzel, Raviteja Vemulapalli
2025 A* conf
NVILA: Efficient Frontier Visual Language Models.
CVPR
Zhijian Liu, Ligeng Zhu, Baifeng Shi, Zhuoyang Zhang, Yuming Lou, Shang Yang, Haocheng Xi, Shiyi Cao, Yuxian Gu, Dacheng Li, Xiuyu Li, Haotian Tang, Yunhao Fang, Yukang Chen, Cheng-Yu Hsieh, De-An Huang, An-Chieh Cheng, Jinyi Hu, Sifei Liu, Ranjay Krishna, Pavlo Molchanov, Jan Kautz, Hongxu Yin, Song Han, Yao Lu
2025 A* conf
Perception Tokens Enhance Visual Reasoning in Multimodal Language Models.
CVPR
Mahtab Bigverdi, Zelun Luo, Cheng-Yu Hsieh, Ethan Shen, Dongping Chen, Linda G. Shapiro, Ranjay Krishna
2025 J jnl
REALEDIT: Reddit Edits As a Large-scale Empirical Dataset for Image Transformations.
CoRR
Peter V. Sushko, Ayana Bharadwaj, Zhi Yang Lim, Vasily Ilin, Ben Caffee, Dongping Chen, Mohammadreza Salehi, Cheng-Yu Hsieh, Ranjay Krishna
2025 A* conf
RealEdit: Reddit Edits As a Large-scale Empirical Dataset for Image Transformations.
CVPR
Peter V. Sushko, Ayana Bharadwaj, Zhi Yang Lim, Vasily Ilin, Ben Caffee, Dongping Chen, Mohammadreza Salehi, Cheng-Yu Hsieh, Ranjay Krishna
2025 A* conf
Synthetic Visual Genome.
CVPR
Jae Sung Park, Zixian Ma, Linjie Li, Chenhao Zheng, Cheng-Yu Hsieh, Ximing Lu, Khyathi Raghavi Chandu, Quan Kong, Norimasa Kobori, Ali Farhadi, Yejin Choi, Ranjay Krishna
2025 J jnl
Synthetic Visual Genome.
CoRR
Jae Sung Park, Zixian Ma, Linjie Li, Chenhao Zheng, Cheng-Yu Hsieh, Ximing Lu, Khyathi Raghavi Chandu, Quan Kong, Norimasa Kobori, Ali Farhadi, Yejin Choi, Ranjay Krishna
2024 A* conf
DataComp-LM: In search of the next generation of training sets for language models.
NeurIPS
Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash Kumar Guha, Sedrick Scott Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee F. Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah M. Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Raghavi Chandu, Thao Nguyen, Igor Vasiljevic, Sham M. Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alex Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar
2024 J jnl
DataComp-LM: In search of the next generation of training sets for language models.
CoRR
Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash Kumar Guha, Sedrick Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee F. Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah M. Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Raghavi Chandu, Thao Nguyen, Igor Vasiljevic, Sham M. Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alexandros G. Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar
2024 J jnl
Found in the Middle: Calibrating Positional Attention Bias Improves Long Context Utilization.
CoRR
Cheng-Yu Hsieh, Yung-Sung Chuang, Chun-Liang Li, Zifeng Wang, Long T. Le, Abhishek Kumar, James R. Glass, Alexander Ratner, Chen-Yu Lee, Ranjay Krishna, Tomas Pfister
2024 — conf
Found in the middle: Calibrating Positional Attention Bias Improves Long Context Utilization.
ACL (Findings)
Cheng-Yu Hsieh, Yung-Sung Chuang, Chun-Liang Li, Zifeng Wang, Long T. Le, Abhishek Kumar, James R. Glass, Alexander Ratner, Chen-Yu Lee, Ranjay Krishna, Tomas Pfister
2024 J jnl
Graph-Based Captioning: Enhancing Visual Descriptions by Interconnecting Region Captions.
CoRR
Yu-Guan Hsieh, Cheng-Yu Hsieh, Shih-Ying Yeh, Louis Béthune, Hadipour Ansari, Pavan Kumar Anasosalu Vasu, Chun-Liang Li, Ranjay Krishna, Oncel Tuzel, Marco Cuturi
2024 A* conf
Is C4 Dataset Optimal for Pruning? An Investigation of Calibration Data for LLM Pruning.
EMNLP
Abhinav Bandari, Lu Yin, Cheng-Yu Hsieh, Ajay Jaiswal, Tianlong Chen, Li Shen, Ranjay Krishna, Shiwei Liu
2024 J jnl
Is C4 Dataset Optimal for Pruning? An Investigation of Calibration Data for LLM Pruning.
CoRR
Abhinav Bandari, Lu Yin, Cheng-Yu Hsieh, Ajay Kumar Jaiswal, Tianlong Chen, Li Shen, Ranjay Krishna, Shiwei Liu
2024 A* conf
Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps.
EMNLP
Yung-Sung Chuang, Linlu Qiu, Cheng-Yu Hsieh, Ranjay Krishna, Yoon Kim, James R. Glass
2024 J jnl
Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps.
CoRR
Yung-Sung Chuang, Linlu Qiu, Cheng-Yu Hsieh, Ranjay Krishna, Yoon Kim, James R. Glass
2024 J jnl
NVILA: Efficient Frontier Visual Language Models.
CoRR
Zhijian Liu, Ligeng Zhu, Baifeng Shi, Zhuoyang Zhang, Yuming Lou, Shang Yang, Haocheng Xi, Shiyi Cao, Yuxian Gu, Dacheng Li, Xiuyu Li, Yunhao Fang, Yukang Chen, Cheng-Yu Hsieh, De-An Huang, An-Chieh Cheng, Vishwesh Nath, Jinyi Hu, Sifei Liu, Ranjay Krishna, Daguang Xu, Xiaolong Wang, Pavlo Molchanov, Jan Kautz, Hongxu Yin, Song Han, Yao Lu
2024 A* conf
Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity.
ICML
Lu Yin, You Wu, Zhenyu Zhang, Cheng-Yu Hsieh, Yaqing Wang, Yiling Jia, Gen Li, Ajay Kumar Jaiswal, Mykola Pechenizkiy, Yi Liang, Michael Bendersky, Zhangyang Wang, Shiwei Liu
2024 J jnl
Perception Tokens Enhance Visual Reasoning in Multimodal Language Models.
CoRR
Mahtab Bigverdi, Zelun Luo, Cheng-Yu Hsieh, Ethan Shen, Dongping Chen, Linda G. Shapiro, Ranjay Krishna
2024 — conf
The Hard Positive Truth About Vision-Language Compositionality.
ECCV (14)
Amita Kamath, Cheng-Yu Hsieh, Kai-Wei Chang, Ranjay Krishna
2024 J jnl
The Hard Positive Truth about Vision-Language Compositionality.
CoRR
Amita Kamath, Cheng-Yu Hsieh, Kai-Wei Chang, Ranjay Krishna
2024 A* conf
The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better.
NeurIPS
Scott Geng, Cheng-Yu Hsieh, Vivek Ramanujan, Matthew Wallingford, Chun-Liang Li, Pang Wei Koh, Ranjay Krishna
2024 J jnl
The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better.
CoRR
Scott Geng, Cheng-Yu Hsieh, Vivek Ramanujan, Matthew Wallingford, Chun-Liang Li, Pang Wei Koh, Ranjay Krishna
2023 — conf
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes.
ACL (Findings)
Cheng-Yu Hsieh, Chun-Liang Li, Chih-Kuan Yeh, Hootan Nakhost, Yasuhisa Fujii, Alex Ratner, Ranjay Krishna, Chen-Yu Lee, Tomas Pfister
2023 J jnl
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes.
CoRR
Cheng-Yu Hsieh, Chun-Liang Li, Chih-Kuan Yeh, Hootan Nakhost, Yasuhisa Fujii, Alexander Ratner, Ranjay Krishna, Chen-Yu Lee, Tomas Pfister
2023 J jnl
Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity.
CoRR
Lu Yin, You Wu, Zhenyu Zhang, Cheng-Yu Hsieh, Yaqing Wang, Yiling Jia, Mykola Pechenizkiy, Yi Liang, Zhangyang Wang, Shiwei Liu
2023 A* conf
SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality.
NeurIPS
Cheng-Yu Hsieh, Jieyu Zhang, Zixian Ma, Aniruddha Kembhavi, Ranjay Krishna
2023 J jnl
SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality.
CoRR
Cheng-Yu Hsieh, Jieyu Zhang, Zixian Ma, Aniruddha Kembhavi, Ranjay Krishna
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 J jnl
A Survey on Programmatic Weak Supervision.
CoRR
Jieyu Zhang, Cheng-Yu Hsieh, Yue Yu, Chao Zhang, Alexander Ratner
2022 J jnl
A linear-time algorithm for weighted paired-domination on block graphs.
J. Comb. Optim.
Ching-Chi Lin, Cheng-Yu Hsieh, Ta-Yu Mu
2022 J jnl
Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming.
CoRR
Cheng-Yu Hsieh, Jieyu Zhang, Alexander Ratner
2022 J jnl
Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming.
Proc. VLDB Endow.
Cheng-Yu Hsieh, Jieyu Zhang, Alexander J. Ratner
2022 B conf
Summit-assisted Evolutionary Multitasking.
CEC
Cheng-Yu Hsieh, Rung-Tzuo Liaw
2022 A* conf
Understanding Programmatic Weak Supervision via Source-aware Influence Function.
NeurIPS
Jieyu Zhang, Haonan Wang, Cheng-Yu Hsieh, Alexander J. Ratner
2022 J jnl
Understanding Programmatic Weak Supervision via Source-aware Influence Function.
CoRR
Jieyu Zhang, Haonan Wang, Cheng-Yu Hsieh, Alexander Ratner
2021 J jnl
Active Refinement for Multi-Label Learning: A Pseudo-Label Approach.
CoRR
Cheng-Yu Hsieh, Wei-I Lin, Miao Xu, Gang Niu, Hsuan-Tien Lin, Masashi Sugiyama
2021 A* conf
Evaluations and Methods for Explanation through Robustness Analysis.
ICLR
Cheng-Yu Hsieh, Chih-Kuan Yeh, Xuanqing Liu, Pradeep Kumar Ravikumar, Seungyeon Kim, Sanjiv Kumar, Cho-Jui Hsieh
2020 Misc conf
Computing Urban Fabric of a Historical Town.
CATA
Naai-Jung Shih, Cheng-Yu Hsieh, Yi Chen, Pei-Huang Diao
2020 J jnl
Evaluations and Methods for Explanation through Robustness Analysis.
CoRR
Cheng-Yu Hsieh, Chih-Kuan Yeh, Xuanqing Liu, Pradeep Ravikumar, Seungyeon Kim, Sanjiv Kumar, Cho-Jui Hsieh
2019 J jnl
How Sensitive are Sensitivity-Based Explanations?
CoRR
Chih-Kuan Yeh, Cheng-Yu Hsieh, Arun Sai Suggala, David I. Inouye, Pradeep Ravikumar
2019 A* conf
On the (In)fidelity and Sensitivity of Explanations.
NeurIPS
Chih-Kuan Yeh, Cheng-Yu Hsieh, Arun Sai Suggala, David I. Inouye, Pradeep Ravikumar
2018 A* conf
A Deep Model With Local Surrogate Loss for General Cost-Sensitive Multi-Label Learning.
AAAI
Cheng-Yu Hsieh, Yi-An Lin, Hsuan-Tien Lin
2018 J jnl
Automatic Bridge Bidding Using Deep Reinforcement Learning.
IEEE Trans. Games
Chih-Kuan Yeh, Cheng-Yu Hsieh, Hsuan-Tien Lin
2016 J jnl
A Linear-Time Algorithm for the Weighted Paired-Domination Problem on Block Graphs.
CoRR
Ching-Chi Lin, Cheng-Yu Hsieh
2013 J jnl
Efficient Video Stream Monitoring for Near-Duplicate Detection and Localization in a Large-Scale Repository.
ACM Trans. Inf. Syst.
Chih-Yi Chiu, Tsung-Han Tsai, Guei-Wun Han, Cheng-Yu Hsieh, Sheng-Yang Li
2013 J jnl
Efficient video segment matching for detecting temporal-based video copies.
Neurocomputing
Chih-Yi Chiu, Tsung-Han Tsai, Cheng-Yu Hsieh
2013 — conf
Egg Pair - A hearing game for the visually impaired people using RFID.
ISCE
Yi-Chia Lee, Chia-Yu Yao, Cheng-Yu Hsieh, Jau-Yi Wu, Yi-Hsuan Hsieh, Chien-Hsiung Chen, Rung-Huei Liang, Ya-Shu Chen
2012 — conf
Scalable near-duplicate video stream monitoring.
ISPACS
Chih-Yi Chiu, Tsung-Han Tsai, Cheng-Yu Hsieh
2012 J jnl
Video Query Reformulation for Near-Duplicate Detection.
IEEE Trans. Inf. Forensics Secur.
Chih-Yi Chiu, Sheng-Yang Li, Cheng-Yu Hsieh
2011 C conf
Design and implementation of dynamic charging plan for IMS-based multicast services.
APNOMS
Sok-Ian Sou, Cheng-Yu Hsieh, Fen-Yen Lee, Yu-Fu Lin, Jeu-Yih Jeng, Chien-Wei Cheng
2007 J jnl
All-optical multicast routing in sparse splitting WDM networks.
IEEE J. Sel. Areas Commun.
Cheng-Yu Hsieh, Wanjiun Liao
2003 B conf
All Optical Multicast Routing in Sparse-Splitting Optical Networks.
LCN
Cheng-Yu Hsieh, Wanjiun Liao