Fangyu Liu

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 76

Top Topics

Lexical Knowledge

Top Venues

EMNLP (Findings)

Publications

Chang Shu, Jiuzhou Han, Fangyu Liu, Ehsan Shareghi, Nigel Collier
POSQA: Probe the World Models of LLMs with Size Comparisons. CoRR (2023)
Julian Eisenschlos, Jeremy R. Cole, Fangyu Liu, William W. Cohen
WinoDict: Probing language models for in-context word acquisition. EACL (2023)
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)
Yupan Huang, Zaiqiao Meng, Fangyu Liu, Yixuan Su, Nigel Collier, Yutong Lu
Sparkles: Unlocking Chats Across Multiple Images for Multimodal Instruction-Following Models. CoRR (2023)
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 (2023)
Ivan Vulic, Goran Glavas, Fangyu Liu, Nigel Collier, Edoardo Maria Ponti, Anna Korhonen
Probing Cross-Lingual Lexical Knowledge from Multilingual Sentence Encoders. EACL (2023)
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)
Chang Shu, Jiuzhou Han, Fangyu Liu, Ehsan Shareghi, Nigel Collier
POSQA: Probe the World Models of LLMs with Size Comparisons. EMNLP (Findings) (2023)
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)
Nigel H. Collier, Fangyu Liu, Ehsan Shareghi
On Reality and the Limits of Language Data. CoRR (2022)
Yaoyiran Li, Fangyu Liu, Nigel Collier, Anna Korhonen, Ivan Vulic
Improving Word Translation via Two-Stage Contrastive Learning. CoRR (2022)
Yaoyiran Li, Fangyu Liu, Ivan Vulic, Anna Korhonen
Improving Bilingual Lexicon Induction with Cross-Encoder Reranking. EMNLP (Findings) (2022)
Guanzheng Chen, Fangyu Liu, Zaiqiao Meng, Shangsong Liang
Revisiting Parameter-Efficient Tuning: Are We Really There Yet? CoRR (2022)
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 (2022)
Tianqing Fang, Wenxuan Zhou, Fangyu Liu, Hongming Zhang, Yangqiu Song, Muhao Chen
On-the-fly Denoising for Data Augmentation in Natural Language Understanding. CoRR (2022)
Guanzheng Chen, Fangyu Liu, Zaiqiao Meng, Shangsong Liang
Revisiting Parameter-Efficient Tuning: Are We Really There Yet? EMNLP (2022)
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)
Xun Wang, Bingqing Ke, Xuanping Li, Fangyu Liu, Mingyu Zhang, Xiao Liang, Qiushi Xiao
Modality-Balanced Embedding for Video Retrieval. SIGIR (2022)
Xun Wang, Bingqing Ke, Xuanping Li, Fangyu Liu, Mingyu Zhang, Xiao Liang, Qiushi Xiao, Yue Yu
Modality-Balanced Embedding for Video Retrieval. CoRR (2022)
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 (2022)
Wenxuan Zhou, Fangyu Liu, Huan Zhang, Muhao Chen
Sharpness-Aware Minimization with Dynamic Reweighting. EMNLP (Findings) (2022)
Fangyu Liu, Julian Eisenschlos, Jeremy R. Cole, Nigel Collier
Do ever larger octopi still amplify reporting biases? Evidence from judgments of typical colour. AACL/IJCNLP (2) (2022)
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 (2022)
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)
Yaoyiran Li, Fangyu Liu, Ivan Vulic, Anna Korhonen
Improving Bilingual Lexicon Induction with Cross-Encoder Reranking. CoRR (2022)
Wenxuan Zhou, Fangyu Liu, Ivan Vulic, Nigel Collier, Muhao Chen
Prix-LM: Pretraining for Multilingual Knowledge Base Construction. ACL (1) (2022)
Fangyu Liu, Yunlong Jiao, Jordan Massiah, Emine Yilmaz, Serhii Havrylov
Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations. ICLR (2022)
Songbo Hu, Ivan Vulic, Fangyu Liu, Anna Korhonen
Reranking Overgenerated Responses for End-to-End Task-Oriented Dialogue Systems. CoRR (2022)
Yaoyiran Li, Fangyu Liu, Nigel Collier, Anna Korhonen, Ivan Vulic
Improving Word Translation via Two-Stage Contrastive Learning. ACL (1) (2022)
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)
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)
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 (2022)
Aleksander Ficek, Fangyu Liu, Nigel Collier
How to tackle an emerging topic? Combining strong and weak labels for Covid news NER. CoRR (2022)
Fangyu Liu, Guy Emerson, Nigel Collier
Visual Spatial Reasoning. CoRR (2022)
Fredrik Carlsson, Joey Öhman, Fangyu Liu, Severine Verlinden, Joakim Nivre, Magnus Sahlgren
Fine-Grained Controllable Text Generation Using Non-Residual Prompting. ACL (1) (2022)
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 (2022)
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 (2022)
Julian Martin Eisenschlos, Jeremy R. Cole, Fangyu Liu, William W. Cohen
WinoDict: Probing language models for in-context word acquisition. CoRR (2022)
Ivan Vulic, Goran Glavas, Fangyu Liu, Nigel Collier, Edoardo Maria Ponti, Anna Korhonen
Exposing Cross-Lingual Lexical Knowledge from Multilingual Sentence Encoders. CoRR (2022)
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)
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)
Fangyu Liu, Ivan Vulic, Anna Korhonen, Nigel Collier
Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking. CoRR (2021)
Fangyu Liu, Ivan Vulic, Anna Korhonen, Nigel Collier
Fast, Effective and Self-Supervised: Transforming Masked LanguageModels into Universal Lexical and Sentence Encoders. CoRR (2021)
Fangyu Liu, Muhao Chen, Dan Roth, Nigel Collier
Visual Pivoting for (Unsupervised) Entity Alignment. AAAI (2021)
Wenxuan Zhou, Fangyu Liu, Ivan Vulic, Nigel Collier, Muhao Chen
Prix-LM: Pretraining for Multilingual Knowledge Base Construction. CoRR (2021)
Fangyu Liu, Emanuele Bugliarello, Edoardo Maria Ponti, Siva Reddy, Nigel Collier, Desmond Elliott
Visually Grounded Reasoning across Languages and Cultures. EMNLP (1) (2021)
Fangyu Liu, Ivan Vulic, Anna Korhonen, Nigel Collier
Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking. ACL/IJCNLP (2) (2021)
Zaiqiao Meng, Fangyu Liu, Thomas Hikaru Clark, Ehsan Shareghi, Nigel Collier
Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT. CoRR (2021)
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 (2021)
Qianchu Liu, Fangyu Liu, Nigel Collier, Anna Korhonen, Ivan Vulic
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models. CoRR (2021)
Qianchu Liu, Fangyu Liu, Nigel Collier, Anna Korhonen, Ivan Vulic
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models. CoNLL (2021)
Fangyu Liu, Ehsan Shareghi, Zaiqiao Meng, Marco Basaldella, Nigel Collier
Self-Alignment Pretraining for Biomedical Entity Representations. NAACL-HLT (2021)
Fangyu Liu, Emanuele Bugliarello, Edoardo Maria Ponti, Siva Reddy, Nigel Collier, Desmond Elliott
Visually Grounded Reasoning across Languages and Cultures. CoRR (2021)
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)
Zaiqiao Meng, Fangyu Liu, Thomas Hikaru Clark, Ehsan Shareghi, Nigel Collier
Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT. EMNLP (1) (2021)
Wenxuan Zhou, Fangyu Liu, Muhao Chen
Contrastive Out-of-Distribution Detection for Pretrained Transformers. EMNLP (1) (2021)
Yixuan Su, Fangyu Liu, Zaiqiao Meng, Lei Shu, Ehsan Shareghi, Nigel Collier
TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning. CoRR (2021)
Fangyu Liu, Rémi Lebret, Didier Orel, Philippe Sordet, Karl Aberer
Upgrading the Newsroom: An Automated Image Selection System for News Articles. CoRR (2020)
Marco Basaldella, Fangyu Liu, Ehsan Shareghi, Nigel Collier
COMETA: A Corpus for Medical Entity Linking in the Social Media. EMNLP (1) (2020)
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 (2020)
Marco Basaldella, Fangyu Liu, Ehsan Shareghi, Nigel Collier
COMETA: A Corpus for Medical Entity Linking in the Social Media. CoRR (2020)
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) (2020)
Fangyu Liu, Rongtian Ye, Xun Wang, Shuaipeng Li
HAL: Improved Text-Image Matching by Mitigating Visual Semantic Hubs. AAAI (2020)
Fangyu Liu, Muhao Chen, Dan Roth, Nigel Collier
Visual Pivoting for (Unsupervised) Entity Alignment. CoRR (2020)
Fangyu Liu, Ehsan Shareghi, Zaiqiao Meng, Marco Basaldella, Nigel Collier
Self-alignment Pre-training for Biomedical Entity Representations. CoRR (2020)
Fangyu Liu, Rongtian Ye
A Strong and Robust Baseline for Text-Image Matching. ACL (2) (2019)
Fangyu Liu, Rongtian Ye, Xun Wang, Shuaipeng Li
HAL: Improved Text-Image Matching by Mitigating Visual Semantic Hubs. CoRR (2019)
Fangyu Liu, Rongtian Ye
A Strong and Robust Baseline for Text-Image Matching. CoRR (2019)
Rongtian Ye, Fangyu Liu, Liqiang Zhang
3D Depthwise Convolution: Reducing Model Parameters in 3D Vision Tasks. Canadian Conference on AI (2019)
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) (2018)
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 (2018)
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)
Rongtian Ye, Fangyu Liu, Liqiang Zhang
3D Depthwise Convolution: Reducing Model Parameters in 3D Vision Tasks. CoRR (2018)
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 (2018)
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 (2017)
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)