Zhenghao Lin

Orcid: 0000-0001-9172-1628

According to our database1, Zhenghao Lin authored at least 15 papers between 2017 and 2024.

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Bibliography

2024
Collaborative Optimization in Financial Data Mining Through Deep Learning and ResNeXt.
CoRR, 2024

Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems.
CoRR, 2024

Revolutionizing Database Q&A with Large Language Models: Comprehensive Benchmark and Evaluation.
CoRR, 2024

Rho-1: Not All Tokens Are What You Need.
CoRR, 2024

Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models.
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.
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.
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.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

On the Evaluation of Generative Models in Distributed Learning Tasks.
CoRR, 2023

PROD: Progressive Distillation for Dense Retrieval.
Proceedings of the ACM Web Conference 2023, 2023

Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise.
Proceedings of the International Conference on Machine Learning, 2023

2022
GENIE: Large Scale Pre-training for Text Generation with Diffusion Model.
CoRR, 2022

Personalized User Profiles-based Insider Threat Detection for Distributed File System.
Proceedings of the IEEE International Conference on Trust, 2022

Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis.
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).
计算机科学, 2017


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