Fangyu Liu

According to our database, Fangyu Liu authored at least 53 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LUQ: Long-text Uncertainty Quantification for LLMs.

Caiqi Zhang, Fangyu Liu, Marco Basaldella, Nigel Collier

CoRR, 2024

On-the-fly Denoising for Data Augmentation in Natural Language Understanding.

Tianqing Fang, Wenxuan Zhou, Fangyu Liu, Hongming Zhang, Yangqiu Song, Muhao Chen

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023

Sparkles: Unlocking Chats Across Multiple Images for Multimodal Instruction-Following Models.

Yupan Huang, Zaiqiao Meng, Fangyu Liu, Yixuan Su, Nigel Collier, Yutong Lu

CoRR, 2023

Compositional Zero-Shot Domain Transfer with Text-to-Text Models.

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

CoRR, 2023

Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding.

Kenton Lee, Mandar Joshi, Iulia Raluca Turc, Hexiang Hu, Fangyu Liu, Julian Martin Eisenschlos, Urvashi Khandelwal, Peter Shaw, Ming-Wei Chang, Kristina Toutanova

Proceedings of the International Conference on Machine Learning, 2023

POSQA: Probe the World Models of LLMs with Size Comparisons.

Chang Shu, Jiuzhou Han, Fangyu Liu, Ehsan Shareghi, Nigel Collier

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Probing Cross-Lingual Lexical Knowledge from Multilingual Sentence Encoders.

Ivan Vulic, Goran Glavas, Fangyu Liu, Nigel Collier, Edoardo Maria Ponti, Anna Korhonen

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

WinoDict: Probing language models for in-context word acquisition.

Julian Martin Eisenschlos, Jeremy R. Cole, Fangyu Liu, William W. Cohen

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

On Reality and the Limits of Language Data: Aligning LLMs with Human Norms.

Nigel Collier, Fangyu Liu, Ehsan Shareghi

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering.

Fangyu Liu, Francesco Piccinno, Syrine Krichene, Chenxi Pang, Kenton Lee, Mandar Joshi, Yasemin Altun, Nigel Collier, Julian Martin Eisenschlos

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

DePlot: One-shot visual language reasoning by plot-to-table translation.

Fangyu Liu, Julian Martin Eisenschlos, Francesco Piccinno, Syrine Krichene, Chenxi Pang, Kenton Lee, Mandar Joshi, Wenhu Chen, Nigel Collier, Yasemin Altun

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Reranking Overgenerated Responses for End-to-End Task-Oriented Dialogue Systems.

Songbo Hu, Ivan Vulic, Fangyu Liu, Anna Korhonen

CoRR, 2022

On Reality and the Limits of Language Data.

Nigel H. Collier, Fangyu Liu, Ehsan Shareghi

CoRR, 2022

Language Models Can See: Plugging Visual Controls in Text Generation.

Yixuan Su, Tian Lan, Yahui Liu, Fangyu Liu, Dani Yogatama, Yan Wang, Lingpeng Kong, Nigel Collier

CoRR, 2022

Visual Spatial Reasoning.

Fangyu Liu, Guy Emerson, Nigel Collier

CoRR, 2022

Exposing Cross-Lingual Lexical Knowledge from Multilingual Sentence Encoders.

Ivan Vulic, Goran Glavas, Fangyu Liu, Nigel Collier, Edoardo Maria Ponti, Anna Korhonen

CoRR, 2022

Modality-Balanced Embedding for Video Retrieval.

Xun Wang, Bingqing Ke, Xuanping Li, Fangyu Liu, Mingyu Zhang, Xiao Liang, Qiushi Xiao, Yue Yu

CoRR, 2022

Modality-Balanced Embedding for Video Retrieval.

Xun Wang, Bingqing Ke, Xuanping Li, Fangyu Liu, Mingyu Zhang, Xiao Liang, Qiushi Xiao

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning.

Yixuan Su, Fangyu Liu, Zaiqiao Meng, Tian Lan, Lei Shu, Ehsan Shareghi, Nigel Collier

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Do ever larger octopi still amplify reporting biases? Evidence from judgments of typical colour.

Fangyu Liu, Julian Martin Eisenschlos, Jeremy R. Cole, Nigel Collier

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

How to tackle an emerging topic? Combining strong and weak labels for Covid news NER.

Aleksander Ficek, Fangyu Liu, Nigel Collier

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages.

Emanuele Bugliarello, Fangyu Liu, Jonas Pfeiffer, Siva Reddy, Desmond Elliott, Edoardo Maria Ponti, Ivan Vulic

Proceedings of the International Conference on Machine Learning, 2022

Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations.

Fangyu Liu, Yunlong Jiao, Jordan Massiah, Emine Yilmaz, Serhii Havrylov

Proceedings of the Tenth International Conference on Learning Representations, 2022

Sharpness-Aware Minimization with Dynamic Reweighting.

Wenxuan Zhou, Fangyu Liu, Huan Zhang, Muhao Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Improving Bilingual Lexicon Induction with Cross-Encoder Reranking.

Yaoyiran Li, Fangyu Liu, Ivan Vulic, Anna Korhonen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Revisiting Parameter-Efficient Tuning: Are We Really There Yet?

Guanzheng Chen, Fangyu Liu, Zaiqiao Meng, Shangsong Liang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Prix-LM: Pretraining for Multilingual Knowledge Base Construction.

Wenxuan Zhou, Fangyu Liu, Ivan Vulic, Nigel Collier, Muhao Chen

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Rewire-then-Probe: A Contrastive Recipe for Probing Biomedical Knowledge of Pre-trained Language Models.

Zaiqiao Meng, Fangyu Liu, Ehsan Shareghi, Yixuan Su, Charlotte Collins, Nigel Collier

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Improving Word Translation via Two-Stage Contrastive Learning.

Yaoyiran Li, Fangyu Liu, Nigel Collier, Anna Korhonen, Ivan Vulic

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Fine-Grained Controllable Text Generation Using Non-Residual Prompting.

Fredrik Carlsson, Joey Öhman, Fangyu Liu, Severine Verlinden, Joakim Nivre, Magnus Sahlgren

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning.

Yixuan Su, Fangyu Liu, Zaiqiao Meng, Lei Shu, Ehsan Shareghi, Nigel Collier

CoRR, 2021

Fast, Effective and Self-Supervised: Transforming Masked LanguageModels into Universal Lexical and Sentence Encoders.

Fangyu Liu, Ivan Vulic, Anna Korhonen, Nigel Collier

CoRR, 2021

DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation.

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

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Self-Alignment Pretraining for Biomedical Entity Representations.

Fangyu Liu, Ehsan Shareghi, Zaiqiao Meng, Marco Basaldella, Nigel Collier

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Contrastive Out-of-Distribution Detection for Pretrained Transformers.

Wenxuan Zhou, Fangyu Liu, Muhao Chen

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT.

Zaiqiao Meng, Fangyu Liu, Thomas Hikaru Clark, Ehsan Shareghi, Nigel Collier

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders.

Fangyu Liu, Ivan Vulic, Anna Korhonen, Nigel Collier

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Visually Grounded Reasoning across Languages and Cultures.

Fangyu Liu, Emanuele Bugliarello, Edoardo Maria Ponti, Siva Reddy, Nigel Collier, Desmond Elliott

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models.

Qianchu Liu, Fangyu Liu, Nigel Collier, Anna Korhonen, Ivan Vulic

Proceedings of the 25th Conference on Computational Natural Language Learning, 2021

Integrating Transformers and Knowledge Graphs for Twitter Stance Detection.

Thomas Hikaru Clark, Costanza Conforti, Fangyu Liu, Zaiqiao Meng, Ehsan Shareghi, Nigel Collier

Proceedings of the Seventh Workshop on Noisy User-generated Text, 2021

Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking.

Fangyu Liu, Ivan Vulic, Anna Korhonen, Nigel Collier

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Visual Pivoting for (Unsupervised) Entity Alignment.

Fangyu Liu, Muhao Chen, Dan Roth, Nigel Collier

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Upgrading the Newsroom: An Automated Image Selection System for News Articles.

Fangyu Liu, Rémi Lebret, Didier Orel, Philippe Sordet, Karl Aberer

ACM Trans. Multim. Comput. Commun. Appl., 2020

Self-alignment Pre-training for Biomedical Entity Representations.

Fangyu Liu, Ehsan Shareghi, Zaiqiao Meng, Marco Basaldella, Nigel Collier

CoRR, 2020

COMETA: A Corpus for Medical Entity Linking in the Social Media.

Marco Basaldella, Fangyu Liu, Ehsan Shareghi, Nigel Collier

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

HAL: Improved Text-Image Matching by Mitigating Visual Semantic Hubs.

Fangyu Liu, Rongtian Ye, Xun Wang, Shuaipeng Li

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

3D Depthwise Convolution: Reducing Model Parameters in 3D Vision Tasks.

Rongtian Ye, Fangyu Liu, Liqiang Zhang

Proceedings of the Advances in Artificial Intelligence, 2019

A Strong and Robust Baseline for Text-Image Matching.

Fangyu Liu, Rongtian Ye

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Joint Discriminative Dictionary and Classifier Learning for ALS Point Cloud Classification.

Zhenxin Zhang, Liqiang Zhang, Yumin Tan, Liang Zhang, Fangyu Liu, Ruofei Zhong

IEEE Trans. Geosci. Remote. Sens., 2018

Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model.

Chao-Han Huck Yang, Fangyu Liu, Jia-Hong Huang, Meng Tian, Yi-Chieh Liu, I-Hung Lin, Jesper Tegnér

CoRR, 2018

A Novel Hybrid Machine Learning Model for Auto-Classification of Retinal Diseases.

Chao-Han Huck Yang, Jia-Hong Huang, Fangyu Liu, Fang-Yi Chiu, Mengya Gao, Weifeng Lyu, I-Hung Lin, Jesper Tegnér

CoRR, 2018

Auto-classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model.

Chao-Han Huck Yang, Fangyu Liu, Jia-Hong Huang, Meng Tian, I-Hung Lin, Yi-Chieh Liu, Hiromasa Morikawa, Hao-Hsiang Yang, Jesper Tegnér

Proceedings of the Computer Vision - ACCV 2018 Workshops, 2018

2017

3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-Scale 3D Point Clouds.

Fangyu Liu, Shuaipeng Li, Liqiang Zhang, Chenghu Zhou, Rongtian Ye, Yuebin Wang, Jiwen Lu

Proceedings of the IEEE International Conference on Computer Vision, 2017