Xiao Liu

According to our database, Xiao Liu authored at least 26 papers between 2018 and 2024.

Collaborative distances:

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

2024

Using Left and Right Brains Together: Towards Vision and Language Planning.

Jun Cen, Chenfei Wu, Xiao Liu, Shengming Yin, Yixuan Pei, Jinglong Yang, Qifeng Chen, Nan Duan, Jianguo Zhang

CoRR, 2024

LEAD: Liberal Feature-based Distillation for Dense Retrieval.

Hao Sun, Xiao Liu, Yeyun Gong, Anlei Dong, Jingwen Lu, Yan Zhang, Linjun Yang, Rangan Majumder, Nan Duan

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

Event Extraction With Dynamic Prefix Tuning and Relevance Retrieval.

Heyan Huang, Xiao Liu, Ge Shi, Qian Liu

IEEE Trans. Knowl. Data Eng., October, 2023

Competition-Level Problems are Effective LLM Evaluators.

Yiming Huang, Zhenghao Lin, Xiao Liu, Yeyun Gong, Shuai Lu, Fangyu Lei, Yaobo Liang, Yelong Shen, Chen Lin, Nan Duan, Weizhu Chen

CoRR, 2023

BeamSearchQA: Large Language Models are Strong Zero-Shot QA Solver.

Hao Sun, Xiao Liu, Yeyun Gong, Anlei Dong, Jingwen Lu, Yan Zhang, Daxin Jiang, Linjun Yang, Rangan Majumder, Nan Duan

CoRR, 2023

PROD: Progressive Distillation for Dense Retrieval.

Zhenghao Lin, Yeyun Gong, Xiao Liu, Hang Zhang, Chen Lin, Anlei Dong, Jian Jiao, Jingwen Lu, Daxin Jiang, Rangan Majumder, Nan Duan

Proceedings of the ACM Web Conference 2023, 2023

Unsupervised Dense Retrieval Training with Web Anchors.

Yiqing Xie, Xiao Liu, Chenyan Xiong

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders Are Better Dense Retrievers.

Kun Zhou, Xiao Liu, Yeyun Gong, Wayne Xin Zhao, Daxin Jiang, Nan Duan, Ji-Rong Wen

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation.

Tong Wu, Zhihao Fan, Xiao Liu, Hai-Tao Zheng, Yeyun Gong, Yelong Shen, Jian Jiao, Juntao Li, Zhongyu Wei, Jian Guo, Nan Duan, Weizhu Chen

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

Allies: Prompting Large Language Model with Beam Search.

Hao Sun, Xiao Liu, Yeyun Gong, Yan Zhang, Daxin Jiang, Linjun Yang, Nan Duan

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

2022

End-to-end event factuality prediction using directional labeled graph recurrent network.

Xiao Liu, Heyan Huang, Yue Zhang

Inf. Process. Manag., 2022

News-driven stock prediction via noisy equity state representation.

Heyan Huang, Xiao Liu, Yue Zhang, Chong Feng

Neurocomputing, 2022

LEAD: Liberal Feature-based Distillation for Dense Retrieval.

Hao Sun, Xiao Liu, Yeyun Gong, Anlei Dong, Jian Jiao, Jingwen Lu, Yan Zhang, Daxin Jiang, Linjun Yang, Rangan Majumder, Nan Duan

CoRR, 2022

SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval.

Kun Zhou, Yeyun Gong, Xiao Liu, Wayne Xin Zhao, Yelong Shen, Anlei Dong, Jingwen Lu, Rangan Majumder, Ji-Rong Wen, Nan Duan, Weizhu Chen

CoRR, 2022

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, Changsen Yuan, Heyan Huang, Chong Feng, Xianling Mao

Proceedings of the Natural Language Processing and Chinese Computing, 2022

SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval.

Kun Zhou, Yeyun Gong, Xiao Liu, Wayne Xin Zhao, Yelong Shen, Anlei Dong, Jingwen Lu, Rangan Majumder, Ji-Rong Wen, Nan Duan

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

Dynamic Prefix-Tuning for Generative Template-based Event Extraction.

Xiao Liu, Heyan Huang, Ge Shi, Bo Wang

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

2021

BIT-Event at NLPCC-2021 Task 3: Subevent Identification via Adversarial Training.

Xiao Liu, Ge Shi, Bo Wang, Changsen Yuan, Heyan Huang, Chong Feng, Lifang Wu

Proceedings of the Natural Language Processing and Chinese Computing, 2021

2020

News-Driven Stock Prediction With Attention-Based Noisy Recurrent State Transition.

Xiao Liu, Heyan Huang, Yue Zhang, Changsen Yuan

CoRR, 2020

Dialogue State Induction Using Neural Latent Variable Models.

Qingkai Min, Libo Qin, Zhiyang Teng, Xiao Liu, Yue Zhang

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

2019

Selective Expression For Event Coreference Resolution on Twitter.

Wenhan Chao, Ping Wei, Zhunchen Luo, Xiao Liu, Guobin Sui

Proceedings of the International Joint Conference on Neural Networks, 2019

Open Domain Event Extraction Using Neural Latent Variable Models.

Xiao Liu, Heyan Huang, Yue Zhang

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

Distant Supervision for Relation Extraction with Linear Attenuation Simulation and Non-IID Relevance Embedding.

Changsen Yuan, Heyan Huang, Chong Feng, Xiao Liu, Xiaochi Wei

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation.

Xiao Liu, Zhunchen Luo, Heyan Huang

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Real-time Scholarly Retweeting Prediction System.

Zhunchen Luo, Xiao Liu

Proceedings of the COLING 2018, 2018

Real-Time Scientific Impact Prediction in Twitter.

Zhunchen Luo, Jun Chen, Xiao Liu

Proceedings of the Big Data - 6th CCF Conference, 2018