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ORCIDFangyu Liu 0001
Person information
- affiliation: University of Cambridge, Language Technology Lab, UK
- affiliation: University of Waterloo, ON, Canada
- affiliation: Beijing Normal University, Faculty of Geographical Science, China
Other persons with the same name
- Fangyu Liu (aka: Fang-Yu Liu) — disambiguation page
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2020 – today
- 2024
[c40]Syrine Krichene, Francesco Piccinno, Fangyu Liu, Julian Eisenschlos:
Faithful Chart Summarization with ChaTS-Pi. ACL (1) 2024: 8705-8723- [c39]Songbo Hu, Ivan Vulic, Fangyu Liu, Anna Korhonen:
Reranking Overgenerated Responses for End-to-End Task-Oriented Dialogue Systems. LREC/COLING 2024: 13970-13991 - [c38]Tianqing Fang, Wenxuan Zhou, Fangyu Liu, Hongming Zhang, Yangqiu Song, Muhao Chen:
On-the-fly Denoising for Data Augmentation in Natural Language Understanding. EACL (Findings) 2024: 766-781 - [c37]Caiqi Zhang, Fangyu Liu, Marco Basaldella, Nigel Collier:
LUQ: Long-text Uncertainty Quantification for LLMs. EMNLP 2024: 5244-5262 - [i44]Caiqi Zhang, Fangyu Liu, Marco Basaldella, Nigel Collier:
LUQ: Long-text Uncertainty Quantification for LLMs. CoRR abs/2403.20279 (2024) - [i43]Syrine Krichene, Francesco Piccinno, Fangyu Liu, Julian Martin Eisenschlos:
Faithful Chart Summarization with ChaTS-Pi. CoRR abs/2405.19094 (2024) - [i42]Lucas Beyer, Andreas Steiner, André Susano Pinto, Alexander Kolesnikov, Xiao Wang, Daniel Salz, Maxim Neumann
, Ibrahim Alabdulmohsin, Michael Tschannen, Emanuele Bugliarello, Thomas Unterthiner, Daniel Keysers, Skanda Koppula, Fangyu Liu, Adam Grycner, Alexey A. Gritsenko, Neil Houlsby, Manoj Kumar, Keran Rong, Julian Eisenschlos, Rishabh Kabra, Matthias Bauer, Matko Bosnjak, Xi Chen, Matthias Minderer, Paul Voigtlaender, Ioana Bica, Ivana Balazevic, Joan Puigcerver, Pinelopi Papalampidi, Olivier J. Hénaff, Xi Xiong, Radu Soricut, Jeremiah Harmsen, Xiaohua Zhai:
PaliGemma: A versatile 3B VLM for transfer. CoRR abs/2407.07726 (2024) - [i41]Fredrik Carlsson, Fangyu Liu, Daniel Ward, Murathan Kurfali, Joakim Nivre:
The Hyperfitting Phenomenon: Sharpening and Stabilizing LLMs for Open-Ended Text Generation. CoRR abs/2412.04318 (2024) - 2023
- [j4]Fangyu Liu, Guy Emerson, Nigel Collier:
Visual Spatial Reasoning. Trans. Assoc. Comput. Linguistics 11: 635-651 (2023) - [j3]Fangyu Liu, Qianchu Liu, Shruthi Bannur, Fernando Pérez-García, Naoto Usuyama, Sheng Zhang, Tristan Naumann, Aditya V. Nori, Hoifung Poon, Javier Alvarez-Valle, Ozan Oktay, Stephanie L. Hyland:
Compositional Zero-Shot Domain Transfer with Text-to-Text Models. Trans. Assoc. Comput. Linguistics 11: 1097-1113 (2023) - [c36]Fangyu Liu, Julian Martin Eisenschlos, Francesco Piccinno, Syrine Krichene, Chenxi Pang, Kenton Lee, Mandar Joshi, Wenhu Chen, Nigel Collier, Yasemin Altun:
DePlot: One-shot visual language reasoning by plot-to-table translation. ACL (Findings) 2023: 10381-10399 - [c35]Fangyu Liu, Francesco Piccinno, Syrine Krichene, Chenxi Pang, Kenton Lee, Mandar Joshi, Yasemin Altun, Nigel Collier, Julian Martin Eisenschlos:
MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering. ACL (1) 2023: 12756-12770 - [c34]Nigel Collier, Fangyu Liu, Ehsan Shareghi:
On Reality and the Limits of Language Data: Aligning LLMs with Human Norms. CogSci 2023 - [c33]Julian Martin Eisenschlos, Jeremy R. Cole, Fangyu Liu, William W. Cohen:
WinoDict: Probing language models for in-context word acquisition. EACL 2023: 94-102 - [c32]Ivan Vulic, Goran Glavas, Fangyu Liu, Nigel Collier, Edoardo Maria Ponti, Anna Korhonen:
Probing Cross-Lingual Lexical Knowledge from Multilingual Sentence Encoders. EACL 2023: 2081-2097 - [c31]Chang Shu, Jiuzhou Han, Fangyu Liu, Ehsan Shareghi, Nigel Collier:
POSQA: Probe the World Models of LLMs with Size Comparisons. EMNLP (Findings) 2023: 7518-7531 - [c30]Kenton Lee, Mandar Joshi, Iulia Raluca Turc, Hexiang Hu, Fangyu Liu, Julian Martin Eisenschlos, Urvashi Khandelwal, Peter Shaw, Ming-Wei Chang, Kristina Toutanova:
Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding. ICML 2023: 18893-18912 - [i40]Fangyu Liu, Qianchu Liu, Shruthi Bannur, Fernando Pérez-García, Naoto Usuyama, Sheng Zhang, Tristan Naumann, Aditya V. Nori, Hoifung Poon, Javier Alvarez-Valle, Ozan Oktay, Stephanie L. Hyland:
Compositional Zero-Shot Domain Transfer with Text-to-Text Models. CoRR abs/2303.13386 (2023) - [i39]Yupan Huang, Zaiqiao Meng, Fangyu Liu, Yixuan Su, Nigel Collier, Yutong Lu:
Sparkles: Unlocking Chats Across Multiple Images for Multimodal Instruction-Following Models. CoRR abs/2308.16463 (2023) - [i38]Chang Shu, Jiuzhou Han, Fangyu Liu, Ehsan Shareghi, Nigel Collier:
POSQA: Probe the World Models of LLMs with Size Comparisons. CoRR abs/2310.13394 (2023) - 2022
- [c29]Yaoyiran Li, Fangyu Liu, Nigel Collier, Anna Korhonen, Ivan Vulic:
Improving Word Translation via Two-Stage Contrastive Learning. ACL (1) 2022: 4353-4374 - [c28]Zaiqiao Meng, Fangyu Liu, Ehsan Shareghi, Yixuan Su, Charlotte Collins, Nigel Collier:
Rewire-then-Probe: A Contrastive Recipe for Probing Biomedical Knowledge of Pre-trained Language Models. ACL (1) 2022: 4798-4810 - [c27]Wenxuan Zhou, Fangyu Liu, Ivan Vulic, Nigel Collier, Muhao Chen:
Prix-LM: Pretraining for Multilingual Knowledge Base Construction. ACL (1) 2022: 5412-5424 - [c26]Fredrik Carlsson, Joey Öhman, Fangyu Liu, Severine Verlinden, Joakim Nivre, Magnus Sahlgren:
Fine-Grained Controllable Text Generation Using Non-Residual Prompting. ACL (1) 2022: 6837-6857 - [c25]Guanzheng Chen, Fangyu Liu, Zaiqiao Meng, Shangsong Liang:
Revisiting Parameter-Efficient Tuning: Are We Really There Yet? EMNLP 2022: 2612-2626 - [c24]Yaoyiran Li, Fangyu Liu, Ivan Vulic, Anna Korhonen:
Improving Bilingual Lexicon Induction with Cross-Encoder Reranking. EMNLP (Findings) 2022: 4100-4116 - [c23]Wenxuan Zhou, Fangyu Liu, Huan Zhang, Muhao Chen:
Sharpness-Aware Minimization with Dynamic Reweighting. EMNLP (Findings) 2022: 5686-5699 - [c22]Fangyu Liu, Yunlong Jiao, Jordan Massiah, Emine Yilmaz, Serhii Havrylov:
Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations. ICLR 2022 - [c21]Emanuele Bugliarello, Fangyu Liu, Jonas Pfeiffer, Siva Reddy, Desmond Elliott, Edoardo Maria Ponti, Ivan Vulic:
IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages. ICML 2022: 2370-2392 - [c20]Fangyu Liu, Julian Martin Eisenschlos, Jeremy R. Cole, Nigel Collier:
Do ever larger octopi still amplify reporting biases? Evidence from judgments of typical colour. AACL/IJCNLP (2) 2022: 210-220 - [c19]Aleksander Ficek, Fangyu Liu, Nigel Collier:
How to tackle an emerging topic? Combining strong and weak labels for Covid news NER. AACL/IJCNLP (2) 2022: 488-496 - [c18]Yixuan Su, Fangyu Liu, Zaiqiao Meng, Tian Lan, Lei Shu, Ehsan Shareghi, Nigel Collier:
TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning. NAACL-HLT (Findings) 2022: 2497-2507 - [c17]Xun Wang, Bingqing Ke, Xuanping Li, Fangyu Liu, Mingyu Zhang, Xiao Liang, Qiushi Xiao:
Modality-Balanced Embedding for Video Retrieval. SIGIR 2022: 2578-2582 - [i37]Emanuele Bugliarello, Fangyu Liu, Jonas Pfeiffer, Siva Reddy, Desmond Elliott, Edoardo Maria Ponti, Ivan Vulic:
IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages. CoRR abs/2201.11732 (2022) - [i36]Guanzheng Chen, Fangyu Liu, Zaiqiao Meng, Shangsong Liang:
Revisiting Parameter-Efficient Tuning: Are We Really There Yet? CoRR abs/2202.07962 (2022) - [i35]Yaoyiran Li, Fangyu Liu, Nigel Collier, Anna Korhonen, Ivan Vulic:
Improving Word Translation via Two-Stage Contrastive Learning. CoRR abs/2203.08307 (2022) - [i34]Xun Wang, Bingqing Ke, Xuanping Li, Fangyu Liu, Mingyu Zhang, Xiao Liang, Qiushi Xiao, Yue Yu:
Modality-Balanced Embedding for Video Retrieval. CoRR abs/2204.08182 (2022) - [i33]Ivan Vulic, Goran Glavas, Fangyu Liu, Nigel Collier, Edoardo Maria Ponti, Anna Korhonen:
Exposing Cross-Lingual Lexical Knowledge from Multilingual Sentence Encoders. CoRR abs/2205.00267 (2022) - [i32]Fangyu Liu, Guy Emerson, Nigel Collier:
Visual Spatial Reasoning. CoRR abs/2205.00363 (2022) - [i31]Yixuan Su, Tian Lan, Yahui Liu, Fangyu Liu, Dani Yogatama, Yan Wang, Lingpeng Kong, Nigel Collier:
Language Models Can See: Plugging Visual Controls in Text Generation. CoRR abs/2205.02655 (2022) - [i30]Nigel H. Collier, Fangyu Liu, Ehsan Shareghi:
On Reality and the Limits of Language Data. CoRR abs/2208.11981 (2022) - [i29]Julian Martin Eisenschlos, Jeremy R. Cole, Fangyu Liu, William W. Cohen:
WinoDict: Probing language models for in-context word acquisition. CoRR abs/2209.12153 (2022) - [i28]Fangyu Liu, Julian Martin Eisenschlos, Jeremy R. Cole, Nigel Collier:
Do ever larger octopi still amplify reporting biases? Evidence from judgments of typical colour. CoRR abs/2209.12786 (2022) - [i27]Aleksander Ficek, Fangyu Liu, Nigel Collier:
How to tackle an emerging topic? Combining strong and weak labels for Covid news NER. CoRR abs/2209.15108 (2022) - [i26]Kenton Lee, Mandar Joshi, Iulia Turc, Hexiang Hu, Fangyu Liu, Julian Eisenschlos, Urvashi Khandelwal, Peter Shaw, Ming-Wei Chang, Kristina Toutanova:
Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding. CoRR abs/2210.03347 (2022) - [i25]Yaoyiran Li, Fangyu Liu, Ivan Vulic, Anna Korhonen:
Improving Bilingual Lexicon Induction with Cross-Encoder Reranking. CoRR abs/2210.16953 (2022) - [i24]Songbo Hu, Ivan Vulic, Fangyu Liu, Anna Korhonen:
Reranking Overgenerated Responses for End-to-End Task-Oriented Dialogue Systems. CoRR abs/2211.03648 (2022) - [i23]Fangyu Liu, Francesco Piccinno, Syrine Krichene, Chenxi Pang, Kenton Lee, Mandar Joshi, Yasemin Altun, Nigel H. Collier, Julian Martin Eisenschlos:
MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering. CoRR abs/2212.09662 (2022) - [i22]Fangyu Liu, Julian Martin Eisenschlos, Francesco Piccinno, Syrine Krichene, Chenxi Pang, Kenton Lee, Mandar Joshi, Wenhu Chen, Nigel Collier, Yasemin Altun:
DePlot: One-shot visual language reasoning by plot-to-table translation. CoRR abs/2212.10505 (2022) - [i21]Tianqing Fang, Wenxuan Zhou, Fangyu Liu, Hongming Zhang, Yangqiu Song, Muhao Chen:
On-the-fly Denoising for Data Augmentation in Natural Language Understanding. CoRR abs/2212.10558 (2022) - 2021
- [c16]Fangyu Liu, Muhao Chen, Dan Roth, Nigel Collier:
Visual Pivoting for (Unsupervised) Entity Alignment. AAAI 2021: 4257-4266 - [c15]Fangyu Liu, Ivan Vulic, Anna Korhonen, Nigel Collier:
Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking. ACL/IJCNLP (2) 2021: 565-574 - [c14]Thomas Hikaru Clark, Costanza Conforti, Fangyu Liu, Zaiqiao Meng, Ehsan Shareghi, Nigel Collier:
Integrating Transformers and Knowledge Graphs for Twitter Stance Detection. W-NUT 2021: 304-312 - [c13]Qianchu Liu, Fangyu Liu, Nigel Collier, Anna Korhonen, Ivan Vulic:
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models. CoNLL 2021: 562-574 - [c12]Wenxuan Zhou, Fangyu Liu, Muhao Chen:
Contrastive Out-of-Distribution Detection for Pretrained Transformers. EMNLP (1) 2021: 1100-1111 - [c11]Fangyu Liu, Ivan Vulic, Anna Korhonen, Nigel Collier:
Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders. EMNLP (1) 2021: 1442-1459 - [c10]Zaiqiao Meng, Fangyu Liu, Thomas Hikaru Clark, Ehsan Shareghi, Nigel Collier:
Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT. EMNLP (1) 2021: 4672-4681 - [c9]Fangyu Liu, Emanuele Bugliarello, Edoardo Maria Ponti, Siva Reddy, Nigel Collier, Desmond Elliott:
Visually Grounded Reasoning across Languages and Cultures. EMNLP (1) 2021: 10467-10485 - [c8]Fangyu Liu, Ehsan Shareghi, Zaiqiao Meng, Marco Basaldella, Nigel Collier:
Self-Alignment Pretraining for Biomedical Entity Representations. NAACL-HLT 2021: 4228-4238 - [c7]Jia-Hong Huang, Chao-Han Huck Yang, Fangyu Liu, Meng Tian, Yi-Chieh Liu, Ting-Wei Wu, I-Hung Lin, Kang Wang, Hiromasa Morikawa, Hernghua Chang, Jesper Tegnér, Marcel Worring:
DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation. WACV 2021: 2441-2451 - [i20]Fangyu Liu, Ivan Vulic, Anna Korhonen, Nigel Collier:
Fast, Effective and Self-Supervised: Transforming Masked LanguageModels into Universal Lexical and Sentence Encoders. CoRR abs/2104.08027 (2021) - [i19]Fangyu Liu, Ivan Vulic, Anna Korhonen, Nigel Collier:
Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking. CoRR abs/2105.14398 (2021) - [i18]Zaiqiao Meng, Fangyu Liu, Thomas Hikaru Clark, Ehsan Shareghi, Nigel Collier:
Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT. CoRR abs/2109.04810 (2021) - [i17]Qianchu Liu, Fangyu Liu, Nigel Collier, Anna Korhonen, Ivan Vulic:
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models. CoRR abs/2109.09237 (2021) - [i16]Fangyu Liu, Yunlong Jiao, Jordan Massiah, Emine Yilmaz, Serhii Havrylov:
Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations. CoRR abs/2109.13059 (2021) - [i15]Fangyu Liu, Emanuele Bugliarello, Edoardo Maria Ponti, Siva Reddy, Nigel Collier, Desmond Elliott:
Visually Grounded Reasoning across Languages and Cultures. CoRR abs/2109.13238 (2021) - [i14]Zaiqiao Meng, Fangyu Liu, Ehsan Shareghi, Yixuan Su, Charlotte Collins, Nigel Collier:
Rewire-then-Probe: A Contrastive Recipe for Probing Biomedical Knowledge of Pre-trained Language Models. CoRR abs/2110.08173 (2021) - [i13]Wenxuan Zhou, Fangyu Liu, Ivan Vulic, Nigel Collier, Muhao Chen:
Prix-LM: Pretraining for Multilingual Knowledge Base Construction. CoRR abs/2110.08443 (2021) - [i12]Yixuan Su, Fangyu Liu, Zaiqiao Meng, Lei Shu, Ehsan Shareghi, Nigel Collier:
TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning. CoRR abs/2111.04198 (2021) - 2020
- [j2]Fangyu Liu, Rémi Lebret, Didier Orel, Philippe Sordet, Karl Aberer:
Upgrading the Newsroom: An Automated Image Selection System for News Articles. ACM Trans. Multim. Comput. Commun. Appl. 16(3): 81:1-81:28 (2020) - [c6]Fangyu Liu, Rongtian Ye, Xun Wang, Shuaipeng Li:
HAL: Improved Text-Image Matching by Mitigating Visual Semantic Hubs. AAAI 2020: 11563-11571 - [c5]Marco Basaldella, Fangyu Liu, Ehsan Shareghi, Nigel Collier:
COMETA: A Corpus for Medical Entity Linking in the Social Media. EMNLP (1) 2020: 3122-3137 - [i11]Fangyu Liu, Rémi Lebret, Didier Orel, Philippe Sordet, Karl Aberer:
Upgrading the Newsroom: An Automated Image Selection System for News Articles. CoRR abs/2004.11449 (2020) - [i10]Fangyu Liu, Muhao Chen, Dan Roth, Nigel Collier:
Visual Pivoting for (Unsupervised) Entity Alignment. CoRR abs/2009.13603 (2020) - [i9]Marco Basaldella, Fangyu Liu, Ehsan Shareghi, Nigel Collier:
COMETA: A Corpus for Medical Entity Linking in the Social Media. CoRR abs/2010.03295 (2020) - [i8]Fangyu Liu, Ehsan Shareghi, Zaiqiao Meng, Marco Basaldella, Nigel Collier:
Self-alignment Pre-training for Biomedical Entity Representations. CoRR abs/2010.11784 (2020) - [i7]Jia-Hong Huang, Chao-Han Huck Yang, Fangyu Liu, Meng Tian, Yi-Chieh Liu, Ting-Wei Wu, I-Hung Lin, Kang Wang, Hiromasa Morikawa, Hernghua Chang, Jesper Tegnér, Marcel Worring:
DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation. CoRR abs/2011.00569 (2020)
2010 – 2019
- 2019
- [c4]Fangyu Liu, Rongtian Ye:
A Strong and Robust Baseline for Text-Image Matching. ACL (2) 2019: 169-176 - [c3]Rongtian Ye, Fangyu Liu, Liqiang Zhang:
3D Depthwise Convolution: Reducing Model Parameters in 3D Vision Tasks. Canadian AI 2019: 186-199 - [i6]Fangyu Liu, Rongtian Ye:
A Strong and Robust Baseline for Text-Image Matching. CoRR abs/1906.01205 (2019) - [i5]Fangyu Liu, Rongtian Ye, Xun Wang, Shuaipeng Li:
HAL: Improved Text-Image Matching by Mitigating Visual Semantic Hubs. CoRR abs/1911.10097 (2019) - 2018
- [j1]Zhenxin Zhang, Liqiang Zhang, Yumin Tan, Liang Zhang, Fangyu Liu, Ruofei Zhong:
Joint Discriminative Dictionary and Classifier Learning for ALS Point Cloud Classification. IEEE Trans. Geosci. Remote. Sens. 56(1): 524-538 (2018) - [c2]Chao-Han Huck Yang, Fangyu Liu, Jia-Hong Huang, Meng Tian, I-Hung Lin, Yi-Chieh Liu, Hiromasa Morikawa, Hao-Hsiang Yang, Jesper Tegnér:
Auto-classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model. ACCV Workshops 2018: 323-338 - [i4]Chao-Han Huck Yang, Jia-Hong Huang, Fangyu Liu, Fang-Yi Chiu, Mengya Gao, Weifeng Lyu, I-Hung Lin, Jesper Tegnér:
A Novel Hybrid Machine Learning Model for Auto-Classification of Retinal Diseases. CoRR abs/1806.06423 (2018) - [i3]Rongtian Ye, Fangyu Liu, Liqiang Zhang:
3D Depthwise Convolution: Reducing Model Parameters in 3D Vision Tasks. CoRR abs/1808.01556 (2018) - [i2]Chao-Han Huck Yang, Fangyu Liu, Jia-Hong Huang, Meng Tian, Yi-Chieh Liu, I-Hung Lin, Jesper Tegnér:
Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model. CoRR abs/1808.05754 (2018) - 2017
- [c1]Fangyu Liu, Shuaipeng Li, Liqiang Zhang, Chenghu Zhou, Rongtian Ye, Yuebin Wang, Jiwen Lu:
3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-Scale 3D Point Clouds. ICCV 2017: 5679-5688 - [i1]Fangyu Liu, Shuaipeng Li, Liqiang Zhang, Chenghu Zhou, Rongtian Ye, Yuebin Wang, Jiwen Lu:
3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-scale 3D Point Clouds. CoRR abs/1707.06783 (2017)
Coauthor Index
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