Zhenghao Lin

According to our database, Zhenghao Lin authored at least 29 papers between 2017 and 2026.

Collaborative distances:

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

2026

Improving Data and Reward Design for Scientific Reasoning in Large Language Models.

Zijie Chen, Zhenghao Lin, Xiao Liu, Zhenzhong Lan, Yeyun Gong, Peng Cheng

CoRR, February, 2026

Training LLMs for Divide-and-Conquer Reasoning Elevates Test-Time Scalability.

Xiao Liang, Zhong-Zhi Li, Zhenghao Lin, Eric Hanchen Jiang, Hengyuan Zhang, Yelong Shen, Kai-Wei Chang, Ying Nian Wu, Yeyun Gong, Weizhu Chen

CoRR, February, 2026

2025

Sigma-MoE-Tiny Technical Report.

Qingguo Hu, Zhenghao Lin, Ziyue Yang, Yucheng Ding, Xiao Liu, Yuting Jiang, Ruizhe Wang, Tianyu Chen, Zhongxin Guo, Yifan Xiong, Rui Gao, Lei Qu, Jinsong Su, Peng Cheng, Yeyun Gong

CoRR, December, 2025

SIGMA: An AI-Empowered Training Stack on Early-Life Hardware.

Lei Qu, Lianhai Ren, Peng Cheng, Rui Gao, Ruizhe Wang, Tianyu Chen, Xiao Liu, Xingjian Zhang, Yeyun Gong, Yifan Xiong, Yucheng Ding, Yuting Jiang, Zhenghao Lin, Zhongxin Guo, Ziyue Yang

CoRR, December, 2025

Beyond Length: Quantifying Long-Range Information for Long-Context LLM Pretraining Data.

Haoran Deng, Yingyu Lin, Zhenghao Lin, Xiao Liu, Yizhou Sun, Yi-An Ma, Yeyun Gong

CoRR, October, 2025

Learning from the Best, Differently: A Diversity-Driven Rethinking on Data Selection.

Hongyi He, Xiao Liu, Zhenghao Lin, Mingni Tang, Yi Cheng, Jintao Wang, Wenjie Li, Peng Cheng, Yeyun Gong

CoRR, October, 2025

Behind RoPE: How Does Causal Mask Encode Positional Information?

Junu Kim, Xiao Liu, Zhenghao Lin, Lei Ji, Yeyun Gong, Edward Choi

CoRR, September, 2025

Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs.

Yi Luo, Qiwen Wang, Junqi Yang, Luyao Tang, Zhenghao Lin, Zhenzhe Ying, Weiqiang Wang, Chen Lin

CoRR, May, 2025

A Deep Learning Framework Integrating CNN and BiLSTM for Financial Systemic Risk Analysis and Prediction.

Yu Cheng, Zhen Xu, Yuan Chen, Yuhan Wang, Zhenghao Lin, Jinsong Liu

CoRR, February, 2025

Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models.

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

CoRR, January, 2025

Revolutionizing Database Q&A with Large Language Models: Comprehensive Benchmark and Evaluation.

Yihang Zheng, Bo Li, Zhenghao Lin, Yi Luo, Xuanhe Zhou, Chen Lin, Guoliang Li, Jinsong Su

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

On the Distributed Evaluation of Generative Models.

Zixiao Wang, Farzan Farnia, Zhenghao Lin, Yunheng Shen, Bei Yu

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

Innovative Image Fraud Detection with Cross-Sample Anomaly Analysis: The Power of LLMs.

Qiwen Wang, Junqi Yang, Zhenghao Lin, Zhenzhe Ying, Weiqiang Wang, Chen Lin

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Collaborative Optimization in Financial Data Mining Through Deep Learning and ResNeXt.

Pengbin Feng, Yankaiqi Li, Yijiashun Qi, Xiaojun Guo, Zhenghao Lin

CoRR, 2024

Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems.

You Wu, Mengfang Sun, Hongye Zheng, Jinxin Hu, Yingbin Liang, Zhenghao Lin

CoRR, 2024

Revolutionizing Database Q&A with Large Language Models: Comprehensive Benchmark and Evaluation.

Yihang Zheng, Bo Li, Zhenghao Lin, Yi Luo, Xuanhe Zhou, Chen Lin, Jinsong Su, Guoliang Li, Shifu Li

CoRR, 2024

Rho-1: Not All Tokens Are What You Need.

Zhenghao Lin, Zhibin Gou, Yeyun Gong, Xiao Liu, Yelong Shen, Ruochen Xu, Chen Lin, Yujiu Yang, Jian Jiao, Nan Duan, Weizhu Chen

CoRR, 2024

Not All Tokens Are What You Need for Pretraining.

Zhenghao Lin, Zhibin Gou, Yeyun Gong, Xiao Liu, Yelong Shen, Ruochen Xu, Chen Lin, Yujiu Yang, Jian Jiao, Nan Duan, Weizhu Chen

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models.

Yi Luo, Zhenghao Lin, Yuhao Zhang, Jiashuo Sun, Chen Lin, Chengjin Xu, Xiangdong Su, Yelong Shen, Jian Guo, Yeyun Gong

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators.

Xingwei He, Zhenghao Lin, Yeyun Gong, A-Long Jin, Hang Zhang, Chen Lin, Jian Jiao, Siu Ming Yiu, Nan Duan, Weizhu Chen

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024

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

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Prescribed Grass Fire Mapping and Rate of Spread Measurement Using NIR Images From a Small Fixed-Wing UAS.

Saket Gowravaram, Haiyang Chao, Zhenghao Lin, Sheena Parsons, Tiebiao Zhao, Ming Xin, Xiaolin Hu, Pengzhi Tian, Harold Patrick Flanagan, Guanghui Wang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

On the Evaluation of Generative Models in Distributed Learning Tasks.

Zixiao Wang, Farzan Farnia, Zhenghao Lin, Yunheng Shen, Bei Yu

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

Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise.

Zhenghao Lin, Yeyun Gong, Yelong Shen, Tong Wu, Zhihao Fan, Chen Lin, Nan Duan, Weizhu Chen

Proceedings of the International Conference on Machine Learning, 2023

2022

GENIE: Large Scale Pre-training for Text Generation with Diffusion Model.

Zhenghao Lin, Yeyun Gong, Yelong Shen, Tong Wu, Zhihao Fan, Chen Lin, Weizhu Chen, Nan Duan

CoRR, 2022

Personalized User Profiles-based Insider Threat Detection for Distributed File System.

Wu Xin, Qingni Shen, Ke Feng, Yutang Xia, Zhonghai Wu, Zhenghao Lin

Proceedings of the IEEE International Conference on Trust, 2022

Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis.

Shuai Fan, Chen Lin, Haonan Li, Zhenghao Lin, Jinsong Su, Hang Zhang, Yeyun Gong, Jian Guo, Nan Duan

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2017

基于跳转轨迹的分支目标缓冲研究 (Efficient BTB Based on Taken Trace).

Zhenya Xiong, Zhenghao Lin, Haoqi Ren

计算机科学, 2017