Publications

An up-to-date list is available on Google Scholar.

2024

  1. EMNLP
    DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models
    Yiming Huang, Jianwen Luo, Yan Yu, Yitong Zhang, Fangyu Lei, and 6 more authors
    In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
  2. NeurIPS
    Rho-1: Not All Tokens Are What You Need
    Zhenghao Lin, Zhibin Gou, Yeyun Gong, Xiao Liu, Yelong Shen, and 6 more authors
    In Proceedings of the 38th Conference on Neural Information Processing Systems, 2024
  3. arXiv
    EXCEEDS: Extracting Complex Events as Connecting the Dots to Graphs in Scientific Domain
    Yi-Fan Lu, Xian-Ling Mao, Bo Wang, Xiao Liu, and Heyan Huang
    arXiv, 2024
  4. arXiv
    Gradient-Mask Tuning Elevates the Upper Limits of LLM Performance
    Haoling Li, Xin Zhang, Xiao Liu, Yeyun Gong, Yifan Wang, and 3 more authors
    arXiv, 2024
  5. arXiv
    Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning
    Yiming Huang, Xiao Liu, Yeyun Gong, Zhibin Gou, Yelong Shen, and 2 more authors
    arXiv, 2024
  6. ICML
    Using Left and Right Brains Together: Towards Vision and Language Planning
    Jun Cen, Chenfei Wu, Xiao Liu, Shengming Yin, Yixuan Pei, and 4 more authors
    In Proceedings of the 41st International Conference on Machine Learning, 2024
  7. ACL
    Competition-Level Problems are Effective LLM Evaluators
    Yiming Huang, Zhenghao Lin, Xiao Liu, Yeyun Gong, Shuai Lu, and 6 more authors
    In Findings of ACL, 2024
  8. WSDM
    LEAD: Liberal Feature-based Distillation for Dense Retrieval
    Hao Sun, Xiao Liu, Yeyun Gong, Anlei Dong, Jian Jiao, and 6 more authors
    In Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

  1. EMNLP
    Allies: Prompting Large Language Model with Beam Search
    Hao Sun, Xiao Liu, Yeyun Gong, Yan Zhang, Daxin Jiang, and 2 more authors
    In Findings of EMNLP, 2023
  2. NeurIPS
    AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation
    Tong Wu, Zhihao Fan, Xiao Liu, Yeyun Gong, Yelong Shen, and 7 more authors
    In Proceedings of the 37th Conference on Neural Information Processing Systems, 2023
  3. ECML-PKDD
    MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders are Better Dense Retrievers
    Kun Zhou, Xiao Liu, Yeyun Gong, Wayne Xin Zhao, Daxin Jiang, and 2 more authors
    In Proceedings of the 2023 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023
  4. ACL
    Boosting Event Extraction with Denoised Structure-to-Text Augmentation
    Bo Wang, Heyan Huang, Xiaochi Wei, Ge Shi, Xiao Liu, and 4 more authors
    In Findings of ACL, 2023
  5. TKDE
    Event Extraction With Dynamic Prefix Tuning and Relevance Retrieval
    Heyan Huang, Xiao Liu, Ge Shi, and Qian Liu
    IEEE Transactions on Knowledge and Data Engineering, 2023
  6. WWW
    PROD: Progressive Distillation for Dense Retrieval
    Zhenghao Lin, Yeyun Gong, Xiao Liu, Hang Zhang, Chen Lin, and 6 more authors
    In Proceedings of the ACM Web Conference, 2023
  7. JCRD
    Knowledge-Enhanced Graph Encoding Method for Metaphor Detection in Text
    Heyan Huang, Xiao Liu, and Qian Liu
    Journal of Computer Research and Development, 2023

2022

  1. EMNLP
    SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval
    Kun Zhou, Yeyun Gong, Xiao Liu, Wayne Xin Zhao, Yelong Shen, and 6 more authors
    In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, Industry Track, 2022
  2. NLPCC
    BIT-WOW at NLPCC-2022 Task5 Track1: Hierarchical Multi-label Classification via Label-Aware Graph Convolutional Network
    Bo Wang, Yi-Fan Lu, Xiaochi Wei, Xiao Liu, Ge Shi, and 4 more authors
    In Natural Language Processing and Chinese Computing - 11th CCF International Conference, 2022
  3. ACL
    Dynamic Prefix-Tuning for Generative Template-based Event Extraction
    Xiao Liu, Heyan Huang, Ge Shi, and Bo Wang
    In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022
  4. IPM
    End-to-End Event Factuality Prediction Using Directional Labeled Graph Recurrent Network
    Xiao Liu, Heyan Huang, and Yue Zhang
    Information Processing and Management, 2022
  5. NEUCOM
    News-driven stock prediction via noisy equity state representation
    Heyan Huang, Xiao Liu, Yue Zhang, and Chong Feng
    Neurocomputing, 2022
  6. TIS
    A Survey on Event Extraction in New Domains
    Heyan Huang, and Xiao Liu
    CAAI Transactions on Intelligent Systems, 2022

2021

  1. NLPCC
    BIT-Event at NLPCC-2021 Task 3: Subevent Identification via Adversarial Training
    Xiao Liu, Ge Shi, Bo Wang, Changsen Yuan, Heyan Huang, and 2 more authors
    In Proceedings of the Natural Language Processing and Chinese Computing - 10th CCF International Conference, 2021

2020

  1. IJCAI
    Dialogue State Induction Using Neural Latent Variable Models
    Qingkai Min, Libo Qin, Zhiyang Teng, Xiao Liu, and Yue Zhang
    In Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

  1. ACL
    Open Domain Event Extraction Using Neural Latent Variable Models
    Xiao Liu, Heyan Huang, and Yue Zhang
    In Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
  2. AAAI
    Distant Supervision for Relation Extraction with Linear Attenuation Simulation and Non-IID Relevance Embedding
    Changsen Yuan, Heyan Huang, Chong Feng, Xiao Liu, and Xiaochi Wei
    In Proceedings of The Thirty-Third AAAI Conference on Artificial Intelligence, 2019
  3. IJCNN
    Selective Expression For Event Coreference Resolution on Twitter
    Wenhan Chao, Ping Wei, Zhunchen Luo, Xiao Liu, and Guobin Sui
    In Proceedings of the International Joint Conference on Neural Networks, 2019

2018

  1. EMNLP
    Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation
    Xiao Liu, Zhunchen Luo, and Heyan Huang
    In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018
  2. BDCCF
    Real-Time Scientific Impact Prediction in Twitter
    Zhunchen Luo, Jun Chen, and Xiao Liu
    In Proceedings of the Big Data - 6th CCF Conference, 2018
  3. COLING
    Real-time Scholarly Retweeting Prediction System
    Zhunchen Luo, and Xiao Liu
    In Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations, 2018