Publications

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 (2025). VLRewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models. In CVPR.

Zhihui Xie, Jiahui Gao, Lei Li, Zhenguo Li, Qi Liu, Lingpeng Kong (2025). Jailbreaking as a Reward Misspecification Problem. In ICLR.

Lei Li, Yuanxin Liu, Linli Yao, Peiyuan Zhang, Chenxin An, Lean Wang, Xu Sun, Lingpeng Kong, Qi Liu (2025). Temporal Reasoning Transfer from Text to Video. In ICLR.

Xijia Tao, Shuai Zhong, Lei Li, Qi Liu, Lingpeng Kong (2025). ImgTrojan: Jailbreaking Vision-Language Models with ONE Image. In NAACL.

Lei Li, Zhihui Xie, Mukai Li, Shunian Chen, Peiyi Wang, Liang Chen, Yazheng Yang, Benyou Wang, Lingpeng Kong, Qi Liu (2024). VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment. In EMNLP.

Chang Ma, Haiteng Zhao, Lin Zheng, Jiayi Xin, Qintong Li, Lijun Wu, Zhihong Deng, Yang Lu, Qi Liu, Lingpeng Kong (2024). Retrieved Sequence Augmentation for Protein Representation Learning. In EMNLP.

Lei Li, Yuqi Wang, Runxin Xu, Peiyi Wang, Xiachong Feng, Lingpeng Kong, Qi Liu (2024). Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models. In ACL.

Mukai Li, Lei Li, Yuwei Yin, Masood Ahmed, Zhenguang Liu, Qi Liu (2024). Red Teaming Visual Language Models. In ACL Findings.

Peiyi Wang, Lei Li, Liang Chen, Dawei Zhu, Binghuai Lin, Yunbo Cao, Qi Liu, Tianyu Liu, Zhifang Sui (2024). Large Language Models are not Fair Evaluators. In ACL.

Reka team (2024). Vibe-Eval: A hard evaluation suite for measuring progress of multimodal language models. In Tech Report.

Reka team (2024). Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models. In Tech Report.

Yazheng Yang, Yuqi Wang, Sankalok Sen, Lei Li, Qi Liu (2024). Unleashing the Potential of Large Language Models for Predictive Tabular Tasks in Data Science. In arXiv.

Yazheng Yang, Yuqi Wang, Guang Liu, Ledell Wu, Qi Liu (2024). UniTabE: Pretraining a Unified Tabular Encoder for Heterogeneous Tabular Data. In ICLR.

Jiankai Sun (2023). A survey of reasoning with foundation models. In arXiv.

Lei Li, Jingjing Xu, Qingxiu Dong, Ce Zheng, Lingpeng Kong, Xu Sun, Qi Liu (2023). Can Language Models Understand Physical Concepts?. In EMNLP.

Haiteng Zhao, Shengchao Liu, Chang Ma, Hannan Xu, Jie Fu, Zhi-Hong Deng, Lingpeng Kong, Qi Liu (2023). GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning. In NeurIPS.

Hanchen Wang, Jean Kaddour, Shengchao Liu, Jian Tang, Joan Lasenby, Qi Liu (2023). Evaluating Self-Supervised Learning for Molecular Graph Embeddings. In NeurIPS Datasets and Benchmarks.

Lei Li, Yuwei Yin, Shicheng Li, Liang Chen, Peiyi Wang, Shuhuai Ren, Mukai Li, Yazheng Yang, Jingjing Xu, Xu Sun, Lingpeng Kong, Qi Liu (2023). M3IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning. In arXiv.

Ante Wang, Linfeng Song, Qi Liu, Haitao Mi, Longyue Wang, Zhaopeng Tu, Jinsong Su, Dong Yu (2023). Search-engine-augmented dialogue response generation with cheaply supervised query production. In Artificial Intelligence.

Yazheng Yang, Zhou Zhao, Qi Liu (2023). MSSRNet: Manipulating Sequential Style Representation for Unsupervised Text Style Transfer. In KDD.

Dingmin Wang, Shengchao Liu, Hanchen Wang, Linfeng Song, Jian Tang, Song Le, Bernardo Cuenca Grau, Qi Liu (2023). Augmenting Message Passing by Retrieving Similar Graphs. In ECAI.

Qi Liu, Zihuiwen Ye, Tao Yu, Phil Blunsom, Linfeng Song (2022). Augmenting Multi-Turn Text-to-SQL Datasets with Self-Play. In EMNLP Findings.

Jean Kaddour, Aengus Lynch, Qi Liu, Matt J. Kusner, Ricardo Silva (2022). Causal Machine Learning: A Survey and Open Problems. In arXiv.

Qi Liu, Dani Yogatama, Phil Blunsom (2022). Relational Memory Augmented Language Models. In TACL.

Zhenguang Liu, Shuang Wu, Shuyuan Jin, Qi Liu, Shouling Ji, Shijian Lu, Li Cheng (2022). Investigating Pose Representations and Motion Contexts Modeling for 3D Motion Prediction. In PAMI.

Jean Kaddour, Yuchen Zhu, Qi Liu, Matthew J. Kusner, Ricardo Silva (2021). Causal Effect Inference for Structured Treatments. In NeurIPS.

Hanchen Wang, Qi Liu, Xiangyu Yue, Joan Lasenby, Matthew J. Kusner (2021). Unsupervised Point Cloud Pre-Training via View-Point Occlusion Completion. In ICCV.

Qi Liu, Lei Yu, Laura Rimell, Phil Blunsom (2021). Pretraining the Noisy Channel Model for Task-Oriented Dialogue. In TACL.

Qi Liu, Matt J. Kusner, Phil Blunsom (2021). Counterfactual Data Augmentation for Neural Machine Translation. In NAACL.

Dingmin Wang, Chenghua Lin, Qi Liu, Kam-Fai Wong (2021). Fast and Scalable Dialogue State Tracking with Explicit Modular Decomposition. In NAACL Short Paper.

Qi Liu, Matt J. Kusner, Phil Blunsom (2020). A Survey on Contextual Embeddings. In arXiv.

Yuan Zhuang, Zhenguang Liu, Peng Qian, Qi Liu, Xiang Wang, Qinming He (2020). Smart Contract Vulnerability Detection using Graph Neural Network. In IJCAI.

Shaolei Wang, Wanxiang Che, Qi Liu, Pengda Qin, Ting Liu, William Yang Wang (2020). Multi-Task Self-Supervised Learning for Disfluency Detection. In AAAI.

Qi Liu, Maximilian Nickel, Douwe Kiela (2019). Hyperbolic Graph Neural Networks. In NeurIPS.

Shuai Zhang, Yi Tay, Lina Yao, Qi Liu (2019). Quaternion Knowledge Graph Embedding. In NeurIPS.

Jiatao Gu, Qi Liu, Kyunghyun Cho (2019). Insertion-based Decoding with Automatically Inferred Generation Order. In TACL.

Zhenguang Liu, Shuang Wu, Shuyuan Jin, Qi Liu, Shijian Lu, Roger Zimmermann, Li Cheng (2019). Towards Natural and Accurate Future Motion Prediction of Humans and Animals. In CVPR.

Qi Liu, Miltiadis Allamanis, Marc Brockschmidt, Alexander L. Gaunt (2018). Constrained Graph Variational Autoencoders for Molecule Design. In NeurIPS.

Yue Zhang, Qi Liu, Linfeng Song (2018). Sentence-State LSTM for Text Representation. In ACL.

Qi Liu, Yue Zhang (2018). Mining Evidences for Concept Stock Recommendation. In NAACL.

Qi Liu, Yue Zhang, Jiangming Liu (2018). Learning Domain-specific Representations for Multi-Domain Sentiment Classification. In NAACL.

Qi Liu, Yue Zhang, Zhenguang Liu, Ye Yuan, Li Cheng, Roger Zimmermann (2018). Multi-modal Multi-task Learning for Automatic Dietary Assessment. In AAAI.

Yixuan Tang, Weilong Huang, Qi Liu, Anthony K.H. Tung, Xiaoli Wang, Jisong Yang, Beibei Zhang (2017). QALink: Enrich Text Documents with Relevant Q&A Site Contents. In CIKM.

Yang Li, Kai Zheng, Ying Yan, Qi Liu, Xiaofang Zhou (2017). EtherQL: A Query Layer for Blockchain. In DASFAA.

Zhenguang Liu, Yingjie Xia, Qi Liu, Qinming He, Yanxiang Chen, Roger Zimmermann (2017). Towards Personalized Activity Level Prediction in Community Question Answering Websites. In TOMM.

Butian Huang, Zhenguang Liu, Jianhai Chen, Anan Liu, Qi Liu, Qinming He (2017). Behavior Pattern Clustering in Blockchain Networks. In MTAP.

Zhenguang Liu, Luming Zhang, Qi Liu, Yifang Yin, Li Cheng, Roger Zimmermann (2016). Fusion of Magnetic and Visual Sensors for Indoor Localization: Infrastructure-free and More Effective. In TMM.

Shubham Goyal, Qi Liu, Khairina Tajul-Arifin, Waqas Awan, Bimlesh Wadhwa, Zhenguang Liu (2016). I Ate This: A Photo-based Food Journaling System with Expert Feedback. In SIGCHI Workshop.

Qiang Hu, Qi Liu, Xiaoli Wang, Anthony K.H. Tung, Shubham Goyal, Jisong Yang (2015). DocRicher: An Automatic Annotation System for Text Documents Using Social Media. In SIGMOD Demo Track.