Qi Liu

According to our database, Qi Liu authored at least 56 papers between 2015 and 2024.

Collaborative distances:

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

2024

VLRewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models.

Lei Li, Yuancheng Wei, Zhihui Xie, Xuqing Yang, Yifan Song, Peiyi Wang, Chenxin An, Tianyu Liu, Sujian Li, Bill Yuchen Lin, Lingpeng Kong, Qi Liu

CoRR, 2024

Temporal Reasoning Transfer from Text to Video.

Lei Li, Yuanxin Liu, Linli Yao, Peiyuan Zhang, Chenxin An, Lean Wang, Xu Sun, Lingpeng Kong, Qi Liu

CoRR, 2024

Jailbreaking as a Reward Misspecification Problem.

Zhihui Xie, Jiahui Gao, Lei Li, Zhenguo Li, Qi Liu, Lingpeng Kong

CoRR, 2024

Vibe-Eval: A hard evaluation suite for measuring progress of multimodal language models.

Piotr Padlewski, Max Bain, Matthew Henderson, Zhongkai Zhu, Nishant Relan, Hai Pham, Donovan Ong, Kaloyan Aleksiev, Aitor Ormazabal, Samuel Phua, Ethan Yeo, Eugenie Lamprecht, Qi Liu, Yuqi Wang, Eric Chen, Deyu Fu, Lei Li, Che Zheng, Cyprien de Masson d'Autume, Dani Yogatama, Mikel Artetxe, Yi Tay

CoRR, 2024

Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models.

Aitor Ormazabal, Che Zheng, Cyprien de Masson d'Autume, Dani Yogatama, Deyu Fu, Donovan Ong, Eric Chen, Eugenie Lamprecht, Hai Pham, Isaac Ong, Kaloyan Aleksiev, Lei Li, Matthew Henderson, Max Bain, Mikel Artetxe, Nishant Relan, Piotr Padlewski, Qi Liu, Ren Chen, Samuel Phua, Yazheng Yang, Yi Tay, Yuqi Wang, Zhongkai Zhu, Zhihui Xie

CoRR, 2024

Unleashing the Potential of Large Language Models for Predictive Tabular Tasks in Data Science.

Yazheng Yang, Yuqi Wang, Sankalok Sen, Lei Li, Qi Liu

CoRR, 2024

ImgTrojan: Jailbreaking Vision-Language Models with ONE Image.

Xijia Tao, Shuai Zhong, Lei Li, Qi Liu, Lingpeng Kong

CoRR, 2024

UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model in Data Science.

Yazheng Yang, Yuqi Wang, Guang Liu, Ledell Wu, Qi Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment.

Lei Li, Zhihui Xie, Mukai Li, Shunian Chen, Peiyi Wang, Liang Chen, Yazheng Yang, Benyou Wang, Lingpeng Kong, Qi Liu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Large Language Models are not Fair Evaluators.

Peiyi Wang, Lei Li, Liang Chen, Zefan Cai, Dawei Zhu, Binghuai Lin, Yunbo Cao, Lingpeng Kong, Qi Liu, Tianyu Liu, Zhifang Sui

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Red Teaming Visual Language Models.

Mukai Li, Lei Li, Yuwei Yin, Masood Ahmed, Zhenguang Liu, Qi Liu

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

Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models.

Lei Li, Yuqi Wang, Runxin Xu, Peiyi Wang, Xiachong Feng, Lingpeng Kong, Qi Liu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Search-engine-augmented dialogue response generation with cheaply supervised query production.

Ante Wang, Linfeng Song, Qi Liu, Haitao Mi, Longyue Wang, Zhaopeng Tu, Jinsong Su, Dong Yu

Artif. Intell., June, 2023

Investigating Pose Representations and Motion Contexts Modeling for 3D Motion Prediction.

Zhenguang Liu, Shuang Wu, Shuyuan Jin, Shouling Ji, Qi Liu, Shijian Lu, Li Cheng

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Text Data Augmentation in Low-Resource Settings via Fine-Tuning of Large Language Models.

Jean Kaddour, Qi Liu

CoRR, 2023

FinPT: Financial Risk Prediction with Profile Tuning on Pretrained Foundation Models.

Yuwei Yin, Yazheng Yang, Jian Yang, Qi Liu

CoRR, 2023

UniTabE: Pretraining a Unified Tabular Encoder for Heterogeneous Tabular Data.

Yazheng Yang, Yuqi Wang, Guang Liu, Ledell Wu, Qi Liu

CoRR, 2023

M³IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning.

Lei Li, Yuwei Yin, Shicheng Li, Liang Chen, Peiyi Wang, Shuhuai Ren, Mukai Li, Yazheng Yang, Jingjing Xu, Xu Sun, Lingpeng Kong, Qi Liu

CoRR, 2023

Large Language Models are not Fair Evaluators.

Peiyi Wang, Lei Li, Liang Chen, Dawei Zhu, Binghuai Lin, Yunbo Cao, Qi Liu, Tianyu Liu, Zhifang Sui

CoRR, 2023

TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image Models.

Yuwei Yin, Jean Kaddour, Xiang Zhang, Yixin Nie, Zhenguang Liu, Lingpeng Kong, Qi Liu

CoRR, 2023

Evaluating Self-Supervised Learning for Molecular Graph Embeddings.

Hanchen Wang, Jean Kaddour, Shengchao Liu, Jian Tang, Joan Lasenby, Qi Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MSSRNet: Manipulating Sequential Style Representation for Unsupervised Text Style Transfer.

Yazheng Yang, Zhou Zhao, Qi Liu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Can Language Models Understand Physical Concepts?

Lei Li, Jingjing Xu, Qingxiu Dong, Ce Zheng, Xu Sun, Lingpeng Kong, Qi Liu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

An Empirical Study of Retrieval-Enhanced Graph Neural Networks.

Dingmin Wang, Shengchao Liu, Hanchen Wang, Bernardo Cuenca Grau, Linfeng Song, Jian Tang, Le Song, Qi Liu

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Relational Memory-Augmented Language Models.

Qi Liu, Dani Yogatama, Phil Blunsom

Trans. Assoc. Comput. Linguistics, 2022

Causal Machine Learning: A Survey and Open Problems.

Jean Kaddour, Aengus Lynch, Qi Liu, Matt J. Kusner, Ricardo Silva

CoRR, 2022

Evaluating Self-Supervised Learning for Molecular Graph Embeddings.

Hanchen Wang, Jean Kaddour, Shengchao Liu, Jian Tang, Matt J. Kusner, Joan Lasenby, Qi Liu

CoRR, 2022

Augmenting Message Passing by Retrieving Similar Graphs.

Dingmin Wang, Shengchao Liu, Hanchen Wang, Linfeng Song, Jian Tang, Song Le, Bernardo Cuenca Grau, Qi Liu

CoRR, 2022

Augmenting Multi-Turn Text-to-SQL Datasets with Self-Play.

Qi Liu, Zihuiwen Ye, Tao Yu, Linfeng Song, Phil Blunsom

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

2021

Pretraining the Noisy Channel Model for Task-Oriented Dialogue.

Qi Liu, Lei Yu, Laura Rimell, Phil Blunsom

Trans. Assoc. Comput. Linguistics, 2021

Graph Intervention Networks for Causal Effect Estimation.

Jean Kaddour, Qi Liu, Yuchen Zhu, Matt J. Kusner, Ricardo Silva

CoRR, 2021

Causal Effect Inference for Structured Treatments.

Jean Kaddour, Yuchen Zhu, Qi Liu, Matt J. Kusner, Ricardo Silva

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Fast and Scalable Dialogue State Tracking with Explicit Modular Decomposition.

Dingmin Wang, Chenghua Lin, Qi Liu, Kam-Fai Wong

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

Counterfactual Data Augmentation for Neural Machine Translation.

Qi Liu, Matt J. Kusner, Phil Blunsom

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

Unsupervised Point Cloud Pre-training via Occlusion Completion.

Hanchen Wang, Qi Liu, Xiangyu Yue, Joan Lasenby, Matt J. Kusner

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Pre-Training by Completing Point Clouds.

Hanchen Wang, Qi Liu, Xiangyu Yue, Joan Lasenby, Matthew J. Kusner

CoRR, 2020

A Survey on Contextual Embeddings.

Qi Liu, Matt J. Kusner, Phil Blunsom

CoRR, 2020

Smart Contract Vulnerability Detection using Graph Neural Network.

Yuan Zhuang, Zhenguang Liu, Peng Qian, Qi Liu, Xiang Wang, Qinming He

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Multi-Task Self-Supervised Learning for Disfluency Detection.

Shaolei Wang, Wanxiang Che, Qi Liu, Pengda Qin, Ting Liu, William Yang Wang

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

2019

Insertion-based Decoding with Automatically Inferred Generation Order.

Jiatao Gu, Qi Liu, Kyunghyun Cho

Trans. Assoc. Comput. Linguistics, 2019

Quaternion Knowledge Graph Embedding.

Shuai Zhang, Yi Tay, Lina Yao, Qi Liu

CoRR, 2019

Hyperbolic Graph Neural Networks.

Qi Liu, Maximilian Nickel, Douwe Kiela

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Quaternion Knowledge Graph Embeddings.

Shuai Zhang, Yi Tay, Lina Yao, Qi Liu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Towards Natural and Accurate Future Motion Prediction of Humans and Animals.

Zhenguang Liu, Shuang Wu, Shuyuan Jin, Qi Liu, Shijian Lu, Roger Zimmermann, Li Cheng

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Toward Personalized Activity Level Prediction in Community Question Answering Websites.

Zhenguang Liu, Yingjie Xia, Qi Liu, Qinming He, Chao Zhang, Roger Zimmermann

ACM Trans. Multim. Comput. Commun. Appl., 2018

Constrained Graph Variational Autoencoders for Molecule Design.

Qi Liu, Miltiadis Allamanis, Marc Brockschmidt, Alexander L. Gaunt

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning Domain Representation for Multi-Domain Sentiment Classification.

Qi Liu, Yue Zhang, Jiangming Liu

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Mining Evidences for Concept Stock Recommendation.

Qi Liu, Yue Zhang

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Sentence-State LSTM for Text Representation.

Yue Zhang, Qi Liu, Linfeng Song

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Multi-Modal Multi-Task Learning for Automatic Dietary Assessment.

Qi Liu, Yue Zhang, Zhenguang Liu, Ye Yuan, Li Cheng, Roger Zimmermann

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Fusion of Magnetic and Visual Sensors for Indoor Localization: Infrastructure-Free and More Effective.

Zhenguang Liu, Luming Zhang, Qi Liu, Yifang Yin, Li Cheng, Roger Zimmermann

IEEE Trans. Multim., 2017

Behavior pattern clustering in blockchain networks.

Butian Huang, Zhenguang Liu, Jianhai Chen, Anan Liu, Qi Liu, Qinming He

Multim. Tools Appl., 2017

I Ate This: A Photo-based Food Journaling System with Expert Feedback.

Shubham Goyal, Qi Liu, Khairina Tajul-Arifin, Waqas Awan, Bimlesh Wadhwa, Zhenguang Liu

CoRR, 2017

EtherQL: A Query Layer for Blockchain System.

Yang Li, Kai Zheng, Ying Yan, Qi Liu, Xiaofang Zhou

Proceedings of the Database Systems for Advanced Applications, 2017

QALink: Enriching Text Documents with Relevant Q&A Site Contents.

Yixuan Tang, Weilong Huang, Qi Liu, Anthony K. H. Tung, Xiaoli Wang, Jisong Yang, Beibei Zhang

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2015

DocRicher: An Automatic Annotation System for Text Documents Using Social Media.

Qiang Hu, Qi Liu, Xiaoli Wang, Anthony K. H. Tung, Shubham Goyal, Jisong Yang

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015