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2020 – today
- 2024
[c7]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- [c6]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 - [c5]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 - [i9]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) - [i8]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) - [i7]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) - 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)
Coauthor Index
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last updated on 2024-11-14 20:58 CET by the dblp team
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