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ORCIDLiunian Harold Li
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Journal Articles
- 2019
[j1]Liunian Harold Li, Patrick H. Chen, Cho-Jui Hsieh, Kai-Wei Chang:
Efficient Contextual Representation Learning With Continuous Outputs. Trans. Assoc. Comput. Linguistics 7: 611-624 (2019)
Conference and Workshop Papers
- 2024
- [c17]Sahana Ramnath, Brihi Joshi, Skyler Hallinan, Ximing Lu, Liunian Harold Li, Aaron Chan, Jack Hessel, Yejin Choi, Xiang Ren:
Tailoring Self-Rationalizers with Multi-Reward Distillation. ICLR 2024 - 2023
- [c16]Masoud Monajatipoor, Liunian Harold Li, Mozhdeh Rouhsedaghat, Lin Yang, Kai-Wei Chang:
MetaVL: Transferring In-Context Learning Ability From Language Models to Vision-Language Models. ACL (2) 2023: 495-508 - [c15]Liunian Harold Li, Jack Hessel, Youngjae Yu, Xiang Ren, Kai-Wei Chang, Yejin Choi:
Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step. ACL (1) 2023: 2665-2679 - [c14]Honghua Zhang, Liunian Harold Li, Tao Meng, Kai-Wei Chang, Guy Van den Broeck:
On the Paradox of Learning to Reason from Data. IJCAI 2023: 3365-3373 - [c13]Liunian Harold Li, Zi-Yi Dou, Nanyun Peng, Kai-Wei Chang:
DesCo: Learning Object Recognition with Rich Language Descriptions. NeurIPS 2023 - 2022
- [c12]Zhecan Wang, Haoxuan You, Liunian Harold Li, Alireza Zareian, Suji Park, Yiqing Liang, Kai-Wei Chang, Shih-Fu Chang:
SGEITL: Scene Graph Enhanced Image-Text Learning for Visual Commonsense Reasoning. AAAI 2022: 5914-5922 - [c11]Liunian Harold Li, Pengchuan Zhang, Haotian Zhang, Jianwei Yang, Chunyuan Li, Yiwu Zhong, Lijuan Wang, Lu Yuan, Lei Zhang, Jenq-Neng Hwang, Kai-Wei Chang, Jianfeng Gao:
Grounded Language-Image Pre-training. CVPR 2022: 10955-10965 - [c10]Yiwu Zhong, Jianwei Yang, Pengchuan Zhang, Chunyuan Li, Noel Codella, Liunian Harold Li, Luowei Zhou, Xiyang Dai, Lu Yuan, Yin Li, Jianfeng Gao:
RegionCLIP: Region-based Language-Image Pretraining. CVPR 2022: 16772-16782 - [c9]Da Yin, Hritik Bansal, Masoud Monajatipoor, Liunian Harold Li, Kai-Wei Chang:
GeoMLAMA: Geo-Diverse Commonsense Probing on Multilingual Pre-Trained Language Models. EMNLP 2022: 2039-2055 - [c8]Sheng Shen, Liunian Harold Li, Hao Tan, Mohit Bansal, Anna Rohrbach, Kai-Wei Chang, Zhewei Yao, Kurt Keutzer:
How Much Can CLIP Benefit Vision-and-Language Tasks? ICLR 2022 - [c7]Masoud Monajatipoor, Mozhdeh Rouhsedaghat, Liunian Harold Li, C.-C. Jay Kuo, Aichi Chien, Kai-Wei Chang:
BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis. MICCAI (5) 2022: 725-734 - [c6]Chunyuan Li, Haotian Liu, Liunian Harold Li, Pengchuan Zhang, Jyoti Aneja, Jianwei Yang, Ping Jin, Houdong Hu, Zicheng Liu, Yong Jae Lee, Jianfeng Gao:
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models. NeurIPS 2022 - [c5]Haotian Zhang, Pengchuan Zhang, Xiaowei Hu, Yen-Chun Chen, Liunian Harold Li, Xiyang Dai, Lijuan Wang, Lu Yuan, Jenq-Neng Hwang, Jianfeng Gao:
GLIPv2: Unifying Localization and Vision-Language Understanding. NeurIPS 2022 - 2021
- [c4]Da Yin, Liunian Harold Li, Ziniu Hu, Nanyun Peng, Kai-Wei Chang:
Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning. EMNLP (1) 2021: 2115-2129 - [c3]Masoud Monajatipoor, Mozhdeh Rouhsedaghat, Liunian Harold Li, Aichi Chien, C.-C. Jay Kuo, Fabien Scalzo, Kai-Wei Chang:
BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis. ICCVW 2021: 3327-3336 - [c2]Liunian Harold Li, Haoxuan You, Zhecan Wang, Alireza Zareian, Shih-Fu Chang, Kai-Wei Chang:
Unsupervised Vision-and-Language Pre-training Without Parallel Images and Captions. NAACL-HLT 2021: 5339-5350 - 2020
- [c1]Liunian Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh, Kai-Wei Chang:
What Does BERT with Vision Look At? ACL 2020: 5265-5275
Editorship
- 2022
- [e1]Daphne Ippolito, Liunian Harold Li, Maria Leonor Pacheco, Danqi Chen, Nianwen Xue:
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop, NAACL-HLT 2022, Hybrid Event / Seattle, WA, USA, July 10-15, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-73-5 [contents]
Informal and Other Publications
- 2024
- [i19]Wenbo Hu, Zi-Yi Dou, Liunian Harold Li, Amita Kamath, Nanyun Peng, Kai-Wei Chang:
Matryoshka Query Transformer for Large Vision-Language Models. CoRR abs/2405.19315 (2024) - 2023
- [i18]Masoud Monajatipoor, Liunian Harold Li, Mozhdeh Rouhsedaghat, Lin F. Yang, Kai-Wei Chang:
MetaVL: Transferring In-Context Learning Ability From Language Models to Vision-Language Models. CoRR abs/2306.01311 (2023) - [i17]Liunian Harold Li, Jack Hessel, Youngjae Yu, Xiang Ren, Kai-Wei Chang, Yejin Choi:
Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step. CoRR abs/2306.14050 (2023) - [i16]Liunian Harold Li, Zi-Yi Dou, Nanyun Peng, Kai-Wei Chang:
DesCo: Learning Object Recognition with Rich Language Descriptions. CoRR abs/2306.14060 (2023) - [i15]Sahana Ramnath, Brihi Joshi, Skyler Hallinan, Ximing Lu, Liunian Harold Li, Aaron Chan, Jack Hessel, Yejin Choi, Xiang Ren:
Tailoring Self-Rationalizers with Multi-Reward Distillation. CoRR abs/2311.02805 (2023) - 2022
- [i14]Chunyuan Li, Haotian Liu, Liunian Harold Li, Pengchuan Zhang, Jyoti Aneja, Jianwei Yang, Ping Jin, Yong Jae Lee, Houdong Hu, Zicheng Liu, Jianfeng Gao:
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models. CoRR abs/2204.08790 (2022) - [i13]Honghua Zhang, Liunian Harold Li, Tao Meng, Kai-Wei Chang, Guy Van den Broeck:
On the Paradox of Learning to Reason from Data. CoRR abs/2205.11502 (2022) - [i12]Da Yin, Hritik Bansal, Masoud Monajatipoor, Liunian Harold Li, Kai-Wei Chang:
GeoMLAMA: Geo-Diverse Commonsense Probing on Multilingual Pre-Trained Language Models. CoRR abs/2205.12247 (2022) - [i11]Jingnong Qu, Liunian Harold Li, Jieyu Zhao, Sunipa Dev, Kai-Wei Chang:
DisinfoMeme: A Multimodal Dataset for Detecting Meme Intentionally Spreading Out Disinformation. CoRR abs/2205.12617 (2022) - [i10]Haotian Zhang, Pengchuan Zhang, Xiaowei Hu, Yen-Chun Chen, Liunian Harold Li, Xiyang Dai, Lijuan Wang, Lu Yuan, Jenq-Neng Hwang, Jianfeng Gao:
GLIPv2: Unifying Localization and Vision-Language Understanding. CoRR abs/2206.05836 (2022) - 2021
- [i9]Sheng Shen, Liunian Harold Li, Hao Tan, Mohit Bansal, Anna Rohrbach, Kai-Wei Chang, Zhewei Yao, Kurt Keutzer:
How Much Can CLIP Benefit Vision-and-Language Tasks? CoRR abs/2107.06383 (2021) - [i8]Masoud Monajatipoor, Mozhdeh Rouhsedaghat, Liunian Harold Li, Aichi Chien, C.-C. Jay Kuo, Fabien Scalzo, Kai-Wei Chang:
BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis. CoRR abs/2108.04938 (2021) - [i7]Da Yin, Liunian Harold Li, Ziniu Hu, Nanyun Peng, Kai-Wei Chang:
Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning. CoRR abs/2109.06860 (2021) - [i6]Liunian Harold Li, Pengchuan Zhang, Haotian Zhang, Jianwei Yang, Chunyuan Li, Yiwu Zhong, Lijuan Wang, Lu Yuan, Lei Zhang, Jenq-Neng Hwang, Kai-Wei Chang, Jianfeng Gao:
Grounded Language-Image Pre-training. CoRR abs/2112.03857 (2021) - [i5]Zhecan Wang, Haoxuan You, Liunian Harold Li, Alireza Zareian, Suji Park, Yiqing Liang, Kai-Wei Chang, Shih-Fu Chang:
SGEITL: Scene Graph Enhanced Image-Text Learning for Visual Commonsense Reasoning. CoRR abs/2112.08587 (2021) - [i4]Yiwu Zhong, Jianwei Yang, Pengchuan Zhang, Chunyuan Li, Noel Codella, Liunian Harold Li, Luowei Zhou, Xiyang Dai, Lu Yuan, Yin Li, Jianfeng Gao:
RegionCLIP: Region-based Language-Image Pretraining. CoRR abs/2112.09106 (2021) - 2020
- [i3]Liunian Harold Li, Haoxuan You, Zhecan Wang, Alireza Zareian, Shih-Fu Chang, Kai-Wei Chang:
Weakly-supervised VisualBERT: Pre-training without Parallel Images and Captions. CoRR abs/2010.12831 (2020) - 2019
- [i2]Liunian Harold Li, Patrick H. Chen, Cho-Jui Hsieh, Kai-Wei Chang:
Efficient Contextual Representation Learning Without Softmax Layer. CoRR abs/1902.11269 (2019) - [i1]Liunian Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh, Kai-Wei Chang:
VisualBERT: A Simple and Performant Baseline for Vision and Language. CoRR abs/1908.03557 (2019)
Coauthor Index
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