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2020 – today
- 2025
[i13]Zhenghao Lin, Zihao Tang, Xiao Liu, Yeyun Gong, Yi Cheng, Qi Chen, Hang Li, Ying Xin, Ziyue Yang, Kailai Yang, Yu Yan, Xiao Liang, Shuai Lu, Yiming Huang, Zheheng Luo, Lei Qu, Xuan Feng, Yaoxiang Wang, Yuqing Xia, Feiyang Chen, Yuting Jiang, Yasen Hu, Hao Ni, Binyang Li, Guoshuai Zhao, Jui-Hao Chiang, Zhongxin Guo, Chen Lin, Kun Kuang, Wenjie Li, Yelong Shen, Jian Jiao, Peng Cheng, Mao Yang:
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models. CoRR abs/2501.13629 (2025)- [i12]Yu Cheng, Zhen Xu, Yuan Chen, Yuhan Wang, Zhenghao Lin, Jinsong Liu:
A Deep Learning Framework Integrating CNN and BiLSTM for Financial Systemic Risk Analysis and Prediction. CoRR abs/2502.06847 (2025) - 2024
- [c8]Yiming Huang, Zhenghao Lin, Xiao Liu, Yeyun Gong, Shuai Lu, Fangyu Lei, Yaobo Liang, Yelong Shen, Chen Lin, Nan Duan, Weizhu Chen:
Competition-Level Problems are Effective LLM Evaluators. ACL (Findings) 2024: 13526-13544 - [c7]Xingwei He, Zhenghao Lin, Yeyun Gong, A-Long Jin, Hang Zhang, Chen Lin, Jian Jiao, Siu Ming Yiu, Nan Duan, Weizhu Chen:
AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators. NAACL (Industry Track) 2024: 165-190 - [c6]Yi Luo, Zhenghao Lin, Yuhao Zhang, Jiashuo Sun, Chen Lin, Chengjin Xu, Xiangdong Su, Yelong Shen, Jian Guo, Yeyun Gong:
Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models. NAACL-HLT 2024: 1152-1197 - [c5]Zhenghao Lin, Zhibin Gou, Yeyun Gong, Xiao Liu, Yelong Shen, Ruochen Xu, Chen Lin, Yujiu Yang, Jian Jiao, Nan Duan, Weizhu Chen:
Not All Tokens Are What You Need for Pretraining. NeurIPS 2024 - [i11]Yi Luo, Zhenghao Lin, Yuhao Zhang, Jiashuo Sun, Chen Lin, Chengjin Xu, Xiangdong Su, Yelong Shen, Jian Guo, Yeyun Gong:
Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models. CoRR abs/2403.11838 (2024) - [i10]Zhenghao Lin, Zhibin Gou, Yeyun Gong, Xiao Liu, Yelong Shen, Ruochen Xu, Chen Lin, Yujiu Yang, Jian Jiao, Nan Duan, Weizhu Chen:
Rho-1: Not All Tokens Are What You Need. CoRR abs/2404.07965 (2024) - [i9]Yihang Zheng, Bo Li, Zhenghao Lin, Yi Luo, Xuanhe Zhou, Chen Lin, Jinsong Su, Guoliang Li, Shifu Li:
Revolutionizing Database Q&A with Large Language Models: Comprehensive Benchmark and Evaluation. CoRR abs/2409.04475 (2024) - [i8]You Wu, Mengfang Sun, Hongye Zheng, Jinxin Hu, Yingbin Liang, Zhenghao Lin:
Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems. CoRR abs/2412.10199 (2024) - [i7]Pengbin Feng, Yankaiqi Li, Yijiashun Qi, Xiaojun Guo, Zhenghao Lin:
Collaborative Optimization in Financial Data Mining Through Deep Learning and ResNeXt. CoRR abs/2412.17314 (2024) - 2023
- [j2]Saket Gowravaram
, Haiyang Chao, Zhenghao Lin, Sheena Parsons, Tiebiao Zhao, Ming Xin, Xiaolin Hu, Pengzhi Tian, Harold Patrick Flanagan, Guanghui Wang:
Prescribed Grass Fire Mapping and Rate of Spread Measurement Using NIR Images From a Small Fixed-Wing UAS. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 3519-3530 (2023) - [c4]Zhenghao Lin, Yeyun Gong, Yelong Shen, Tong Wu, Zhihao Fan, Chen Lin, Nan Duan, Weizhu Chen:
Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise. ICML 2023: 21051-21064 - [c3]Zhenghao Lin, Yeyun Gong, Xiao Liu, Hang Zhang, Chen Lin, Anlei Dong, Jian Jiao, Jingwen Lu, Daxin Jiang, Rangan Majumder, Nan Duan:
PROD: Progressive Distillation for Dense Retrieval. WWW 2023: 3299-3308 - [i6]Xingwei He, Zhenghao Lin, Yeyun Gong, A-Long Jin, Hang Zhang, Chen Lin, Jian Jiao, Siu Ming Yiu, Nan Duan, Weizhu Chen:
AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators. CoRR abs/2303.16854 (2023) - [i5]Zixiao Wang, Farzan Farnia, Zhenghao Lin, Yunheng Shen, Bei Yu:
On the Evaluation of Generative Models in Distributed Learning Tasks. CoRR abs/2310.11714 (2023) - [i4]Yiming Huang, Zhenghao Lin, Xiao Liu, Yeyun Gong, Shuai Lu, Fangyu Lei, Yaobo Liang, Yelong Shen, Chen Lin, Nan Duan, Weizhu Chen:
Competition-Level Problems are Effective LLM Evaluators. CoRR abs/2312.02143 (2023) - 2022
- [c2]Shuai Fan, Chen Lin, Haonan Li, Zhenghao Lin, Jinsong Su, Hang Zhang, Yeyun Gong, Jian Guo, Nan Duan:
Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis. EMNLP 2022: 4984-4994 - [c1]Wu Xin, Qingni Shen, Ke Feng, Yutang Xia, Zhonghai Wu, Zhenghao Lin:
Personalized User Profiles-based Insider Threat Detection for Distributed File System. TrustCom 2022: 1441-1446 - [i3]Zhenghao Lin, Yeyun Gong, Xiao Liu, Hang Zhang, Chen Lin, Anlei Dong, Jian Jiao, Jingwen Lu, Daxin Jiang, Rangan Majumder, Nan Duan:
PROD: Progressive Distillation for Dense Retrieval. CoRR abs/2209.13335 (2022) - [i2]Shuai Fan, Chen Lin, Haonan Li, Zhenghao Lin, Jinsong Su, Hang Zhang, Yeyun Gong, Jian Guo, Nan Duan:
Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis. CoRR abs/2210.09803 (2022) - [i1]Zhenghao Lin, Yeyun Gong, Yelong Shen, Tong Wu, Zhihao Fan, Chen Lin, Weizhu Chen, Nan Duan:
GENIE: Large Scale Pre-training for Text Generation with Diffusion Model. CoRR abs/2212.11685 (2022)
2010 – 2019
- 2017
- [j1]Zhenya Xiong, Zhenghao Lin, Haoqi Ren:
基于跳转轨迹的分支目标缓冲研究 (Efficient BTB Based on Taken Trace). 计算机科学 44(3): 195-201 (2017)
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