output
20142026
most citedSummary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models

765 citations

17 papers

cond-mat.supr-con2026

Supercurrent effect in a charge density wave intertwined superconductor

Zhen Zhu, Wei Cheng, Dang Liu +15

The energy-momentum (E-k) dispersion of quasiparticles constitutes a fundamental concept in condensed matter systems. The ability to modify the E-k dispersion, exemplified by super…

q-bio.NC2026

Robust probabilistic measurement of structural-functional module consistency in infant brain development

Lingbin Bian, Feihong Liu, Qian Wang +3

Brain network is commonly divided into modules for analyzing their functionally segregated roles for group-level analysis in neuroimaging studies. Here, we introduce stochastic mod…

physics.optics2026★ 2 cited

Mid-infrared single-photon sub-pixel temporal ghost imaging

Wen Zhang, Kun Huang, Zhibin Zhao +4

Temporal ghost imaging (TGI) enables ultrafast temporal signal recovery using slow detectors, offering a promising route for high-speed mid-infrared (MIR) detection. However, conve…

physics.optics2026★ 10 cited

High-order mid-infrared nonlinear topological differentiator

Jixi Zhang, Kun Huang, Shina Liao +3

High-order edge-enhanced imaging enables precise feature localization and effective background suppression, offering a powerful tool for real-time recognition and high-contrast vis…

gr-qc2026

Bouncing cosmologies from Born-Infeld-type gravity

Yermek Aldabergenov, Wei Lin, Rongjian Li +2

We construct a Born-Infeld-type modification of gravity, where is the Gauss-Bonnet term, by embedding Born-Infeld electrodynamics in a five-dimensional p…

cond-mat.mtrl-sci2026

Quantum Spin-1/2 Rings Built from [2]Triangulene Molecular Units

Can Li, Manish Kumar, Ying Wang +14

Quantum spin rings represent fundamental model systems that exhibit distinctive quantum phenomena-such as quantum critical behavior and quasiparticle excitations-arising from their…

physics.optics2024

Brownian spin-locking effect

Xiao Zhang, Peiyang Chen, Mei Li +4

Brownian systems are characterized by spatiotemporal disorder, which arises from the erratic motion of particles driven by thermal fluctuations. When light interacts with such syst…

quant-ph2023★ 34 cited

Toward Incompatible Quantum Limits on Multiparameter Estimation

Binke Xia, Jingzheng Huang, Hongjing Li +2

Achieving the ultimate precisions for multiple parameters simultaneously is an outstanding challenge in quantum physics, because the optimal measurements for incompatible parameter…

physics.optics2023★ 28 cited

Observation of non-Hermitian antichiral edge currents

Rui Ye, Yanyan He, Guangzhen Li +8

Non-Hermitian topological photonics is of great interest in bridging topological matter with gain/dissipation engineering in optics. A key problem in this direction is the interpla…

cs.CV2023★ 70 cited

ChatCAD+: Towards a Universal and Reliable Interactive CAD using LLMs

Zihao Zhao, Sheng Wang, Jinchen Gu +6

The integration of Computer-Aided Diagnosis (CAD) with Large Language Models (LLMs) presents a promising frontier in clinical applications, notably in automating diagnostic process…

cs.CL2023★ 67 cited

An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT

Chong Ma, Zihao Wu, Jiaqi Wang +13

The 'Impression' section of a radiology report is a critical basis for communication between radiologists and other physicians, and it is typically written by radiologists based on…

cs.CL2023★ 765 cited

Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models

Yiheng Liu, Tianle Han, Siyuan Ma +15

This paper presents a comprehensive survey of ChatGPT-related (GPT-3.5 and GPT-4) research, state-of-the-art large language models (LLM) from the GPT series, and their prospective…

cs.CV2023★ 111 cited

RCPS: Rectified Contrastive Pseudo Supervision for Semi-Supervised Medical Image Segmentation

Xiangyu Zhao, Zengxin Qi, Sheng Wang +4

Medical image segmentation methods are generally designed as fully-supervised to guarantee model performance, which require a significant amount of expert annotated samples that ar…

eess.IV2022★ 60 cited

Multi-scale Transformer Network with Edge-aware Pre-training for Cross-Modality MR Image Synthesis

Yonghao Li, Tao Zhou, Kelei He +2

Cross-modality magnetic resonance (MR) image synthesis can be used to generate missing modalities from given ones. Existing (supervised learning) methods often require a large numb…

physics.med-ph2022★ 8 cited

A clinically relevant online patient QA solution with daily CT scans and EPID-based in vivo dosimetry: A feasible study on rectal cancer

Liyuan Chen, Zhiyuan Zhang, Lei Yu +8

Adaptive radiation therapy (ART) could protect organs at risk (OARs) while maintain high dose coverage to targets. However, there still lack efficient online patient QA methods. We…

cs.CV2022★ 54 cited

Semi-Cycled Generative Adversarial Networks for Real-World Face Super-Resolution

Hao Hou, Jun Xu, Yingkun Hou +3

Real-world face super-resolution (SR) is a highly ill-posed image restoration task. The fully-cycled Cycle-GAN architecture is widely employed to achieve promising performance on f…

q-bio.MN2014★ 46 cited

Relationship between promoter sequence and its strength in gene expression

Jingwei Li, Yunxin Zhang

In this study, through various tests one theoretical model is presented to describe the relationship between promoter strength and its nucleotide sequence. Our analysis shows that,…