Zheng Yuan

Biomedical Question Answering: A Survey of Approaches and Challenges

2021 · arXiv (Cornell University)

Automatic Question Answering (QA) has been successfully applied in various domains such as search engines and chatbots. Biomedical QA (BQA), as an emerging QA task, enables innovative applications to effectively perceive, access and understand complex …

BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model

2022 · arXiv (Cornell University)

Pretrained language models have served as important backbones for natural language processing. Recently, in-domain pretraining has been shown to benefit various domain-specific downstream tasks. In the biomedical domain, natural language generation (NLG) tasks are of …

An Extended Sequence Tagging Vocabulary for Grammatical Error Correction

2023 · arXiv (Cornell University)

We extend a current sequence-tagging approach to Grammatical Error Correction (GEC) by introducing specialised tags for spelling correction and morphological inflection using the SymSpell and LemmInflect algorithms. Our approach improves generalisation: the proposed new tagset …

Research on Performance Optimization of Virtualized Server Cluster Based on Cloud Computing

2022

In the age of big data, the generation and processing of massive data will not only take up more physical storage space, but also make the computer system bear a large load, and the operating …

Progression Cognition Reinforcement Learning With Prioritized Experience for Multi-Vehicle Pursuit

2024 · IEEE Transactions on Intelligent Transportation Systems

Multi-vehicle pursuit (MVP) such as autonomous police vehicles pursuing suspects is important but very challenging due to its mission and safety-critical nature. While multi-agent reinforcement learning (MARL) algorithms have been proposed for MVP in structured …

Adaptive Adversarial Patch Attack on Face Recognition Models

2023

Face recognition models have become widely used for identity authentication in scenarios such as cell phone unlocking and financial payment, but they are vulnerable to adversarial examples. Due to the realizability in the physical world, …

How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

2024

Guanting Dong, Hongyi Yuan, Keming Lu, Chengpeng Li, Mingfeng Xue, Dayiheng Liu, Wei Wang, Zheng Yuan, Chang Zhou, Jingren Zhou. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long …

Grammatical error correction using neural machine translation

2016

This paper presents the first study using neural machine translation (NMT) for grammatical error correction (GEC). We propose a twostep approach to handle the rare word problem in NMT, which has been proved to be …

Construction of the Literature Graph in Semantic Scholar

2018

Waleed Ammar, Dirk Groeneveld, Chandra Bhagavatula, Iz Beltagy, Miles Crawford, Doug Downey, Jason Dunkelberger, Ahmed Elgohary, Sergey Feldman, Vu Ha, Rodney Kinney, Sebastian Kohlmeier, Kyle Lo, Tyler Murray, Hsu-Han Ooi, Matthew Peters, Joanna Power, Sam …