Real-Time Scientific Impact Prediction in Twitter. - Zhunchen Luo; Jun Chen; Xiao Liu 029 (Big Data (CCF), 2018)

Real-time Scholarly Retweeting Prediction System. - Zhunchen Luo; Xiao Liu 029 (COLING (Demos), 2018)

Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation. - Xiao Liu 029; Zhunchen Luo; Heyan Huang (EMNLP, 2018)

Distant Supervision for Relation Extraction with Linear Attenuation Simulation and Non-IID Relevance Embedding. - Changsen Yuan; Heyan Huang; Chong Feng 001; Xiao Liu 029; Xiaochi Wei (AAAI, 2019)

Open Domain Event Extraction Using Neural Latent Variable Models. - Xiao Liu 029; Heyan Huang; Yue Zhang 004 (ACL (1), 2019)

Selective Expression For Event Coreference Resolution on Twitter. - Wenhan Chao; Ping Wei; Zhunchen Luo; Xiao Liu 029; Guobin Sui (IJCNN, 2019)

Dialogue State Induction Using Neural Latent Variable Models. - Qingkai Min; Libo Qin 001; Zhiyang Teng; Xiao Liu 029; Yue Zhang 004 (IJCAI, 2020)

News-Driven Stock Prediction With Attention-Based Noisy Recurrent State Transition. - Xiao Liu 029; Heyan Huang; Yue Zhang 004; Changsen Yuan (CoRR, 2020)

BIT-Event at NLPCC-2021 Task 3: Subevent Identification via Adversarial Training. - Xiao Liu 029; Ge Shi 002; Bo Wang 134; Changsen Yuan; Heyan Huang; Chong Feng 001; Lifang Wu (NLPCC (2), 2021)

Dynamic Prefix-Tuning for Generative Template-based Event Extraction. - Xiao Liu 029; Heyan Huang; Ge Shi 002; Bo Wang 134 (ACL (1), 2022)

SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval. - Kun Zhou 002; Yeyun Gong; Xiao Liu 029; Wayne Xin Zhao; Yelong Shen; Anlei Dong; Jingwen Lu; Rangan Majumder; Ji-Rong Wen; Nan Duan (EMNLP (Industry Track), 2022)

BIT-WOW at NLPCC-2022 Task5 Track1: Hierarchical Multi-label Classification via Label-Aware Graph Convolutional Network. - Bo Wang 134; Yi-Fan Lu; Xiaochi Wei; Xiao Liu 029; Ge Shi 002; Changsen Yuan; Heyan Huang; Chong Feng 001; Xianling Mao (NLPCC (2), 2022)

SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval. - Kun Zhou 002; Yeyun Gong; Xiao Liu 029; Wayne Xin Zhao; Yelong Shen; Anlei Dong; Jingwen Lu; Rangan Majumder; Ji-Rong Wen; Nan Duan; Weizhu Chen (CoRR, 2022)

LEAD: Liberal Feature-based Distillation for Dense Retrieval. - Hao Sun 015; Xiao Liu 029; Yeyun Gong; Anlei Dong; Jian Jiao 007; Jingwen Lu; Yan Zhang 117; Daxin Jiang; Linjun Yang; Rangan Majumder; Nan Duan (CoRR, 2022)

News-driven stock prediction via noisy equity state representation. - Heyan Huang; Xiao Liu 029; Yue Zhang 004; Chong Feng 001 (Neurocomputing, 2022)

End-to-end event factuality prediction using directional labeled graph recurrent network. - Xiao Liu 029; Heyan Huang; Yue Zhang 004 (Inf. Process. Manag., 2022)

Boosting Event Extraction with Denoised Structure-to-Text Augmentation. - Bo Wang 134; Heyan Huang; Xiaochi Wei; Ge Shi 002; Xiao Liu 029; Chong Feng 001; Tong Zhou; Shuaiqiang Wang; Dawei Yin (ACL (Findings), 2023)

Allies: Prompting Large Language Model with Beam Search. - Hao Sun 015; Xiao Liu 029; Yeyun Gong; Yan Zhang 117; Daxin Jiang; Linjun Yang; Nan Duan (EMNLP (Findings), 2023)

AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation. - Tong Wu; Zhihao Fan; Xiao Liu 029; Hai-Tao Zheng 002; Yeyun Gong; Yelong Shen; Jian Jiao 007; Juntao Li; Zhongyu Wei; Jian Guo; Nan Duan; Weizhu Chen (NeurIPS, 2023)

MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders Are Better Dense Retrievers. - Kun Zhou 002; Xiao Liu 029; Yeyun Gong; Wayne Xin Zhao; Daxin Jiang; Nan Duan; Ji-Rong Wen (ECML/PKDD (2), 2023)

Unsupervised Dense Retrieval Training with Web Anchors. - Yiqing Xie; Xiao Liu 029; Chenyan Xiong (SIGIR, 2023)

PROD: Progressive Distillation for Dense Retrieval. - Zhenghao Lin; Yeyun Gong; Xiao Liu 029; Hang Zhang 029; Chen Lin 001; Anlei Dong; Jian Jiao 007; Jingwen Lu; Daxin Jiang; Rangan Majumder; Nan Duan (WWW, 2023)

BeamSearchQA: Large Language Models are Strong Zero-Shot QA Solver. - Hao Sun 015; Xiao Liu 029; Yeyun Gong; Anlei Dong; Jingwen Lu; Yan Zhang 117; Daxin Jiang; Linjun Yang; Rangan Majumder; Nan Duan (CoRR, 2023)

Event Extraction With Dynamic Prefix Tuning and Relevance Retrieval. - Heyan Huang; Xiao Liu 029; Ge Shi 002; Qian Liu 012 (IEEE Trans. Knowl. Data Eng., 2023)

Competition-Level Problems are Effective LLM Evaluators. - Yiming Huang; Zhenghao Lin; Xiao Liu 029; Yeyun Gong; Shuai Lu; Fangyu Lei; Yaobo Liang; Yelong Shen; Chen Lin 001; Nan Duan; Weizhu Chen (ACL (Findings), 2024)

Using Left and Right Brains Together: Towards Vision and Language Planning. - Jun Cen; Chenfei Wu; Xiao Liu 029; Shengming Yin; Yixuan Pei; Jinglong Yang; Qifeng Chen; Nan Duan; Jianguo Zhang (ICML, 2024)

Not All Tokens Are What You Need for Pretraining. - Zhenghao Lin; Zhibin Gou; Yeyun Gong; Xiao Liu 029; Yelong Shen; Ruochen Xu; Chen Lin 001; Yujiu Yang; Jian Jiao 007; Nan Duan; Weizhu Chen (NeurIPS, 2024)

LEAD: Liberal Feature-based Distillation for Dense Retrieval. - Hao Sun 015; Xiao Liu 029; Yeyun Gong; Anlei Dong; Jingwen Lu; Yan Zhang 117; Linjun Yang; Rangan Majumder; Nan Duan (WSDM, 2024)

Rho-1: Not All Tokens Are What You Need. - Zhenghao Lin; Zhibin Gou; Yeyun Gong; Xiao Liu 029; Yelong Shen; Ruochen Xu; Chen Lin 001; Yujiu Yang; Jian Jiao 007; Nan Duan; Weizhu Chen (CoRR, 2024)

EXCEEDS: Extracting Complex Events as Connecting the Dots to Graphs in Scientific Domain. - Yi-Fan Lu; Xian-Ling Mao; Bo Wang 134; Xiao Liu 029; Heyan Huang (CoRR, 2024)

Gradient-Mask Tuning Elevates the Upper Limits of LLM Performance. - Haoling Li; Xin Zhang 099; Xiao Liu 029; Yeyun Gong; Yifan Wang; Yujiu Yang; Qi Chen 009; Peng Cheng 005 (CoRR, 2024)

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training. - Zheheng Luo; Xin Zhang 099; Xiao Liu 029; Haoling Li; Yeyun Gong; Chen Qi; Peng Cheng 005 (CoRR, 2024)

EpiCoder: Encompassing Diversity and Complexity in Code Generation. - Yaoxiang Wang; Haoling Li; Xin Zhang 099; Jie Wu; Xiao Liu 029; Wenxiang Hu; Zhongxin Guo; Yangyu Huang; Ying Xin; Yujiu Yang; Jinsong Su; Qi Chen 009; et al. (CoRR, 2025)

Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models. - Zhenghao Lin; Zihao Tang; Xiao Liu 029; Yeyun Gong; Yi Cheng; Qi Chen 009; Hang Li; Ying Xin; Ziyue Yang; Kailai Yang; Yu Yan; Xiao Liang; et al. (CoRR, 2025)

Optimizing Large Language Model Training Using FP4 Quantization. - Ruizhe Wang; Yeyun Gong; Xiao Liu 029; Guoshuai Zhao; Ziyue Yang; Baining Guo; Zhengjun Zha; Peng Cheng 005 (CoRR, 2025)

Process-based Self-Rewarding Language Models. - Shimao Zhang; Xiao Liu 029; Xin Zhang 099; Junxiao Liu; Zheheng Luo; Shujian Huang; Yeyun Gong (CoRR, 2025)

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training. - Kailai Yang; Xiao Liu 029; Lei Ji; Hao Li 074; Yeyun Gong; Peng Cheng 005; Mao Yang 004 (CoRR, 2025)