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PhysBERT: A Text Embedding Model for Physics Scientific Literature

PhysBERT: A Text Embedding Model for Physics Scientific Literature

APL Machine Learning (AML), 2024
18 August 2024
Thorsten Hellert
Joao Montenegro
Andrea Pollastro
    PINNAI4CE
ArXiv (abs)PDFHTMLHuggingFace (8 upvotes)

Papers citing "PhysBERT: A Text Embedding Model for Physics Scientific Literature"

5 / 5 papers shown
Title
ComProScanner: A multi-agent based framework for composition-property structured data extraction from scientific literature
ComProScanner: A multi-agent based framework for composition-property structured data extraction from scientific literature
Aritra Roy
Enrico Grisan
John Buckeridge
Chiara Gattinoni
50
0
0
23 Oct 2025
FeynTune: Large Language Models for High-Energy Theory
FeynTune: Large Language Models for High-Energy Theory
Paul Richmond
Prarit Agarwal
Borun Chowdhury
Vasilis Niarchos
Constantinos Papageorgakis
107
0
0
24 Jul 2025
T-VEC: A Telecom-Specific Vectorization Model with Enhanced Semantic Understanding via Deep Triplet Loss Fine-Tuning
T-VEC: A Telecom-Specific Vectorization Model with Enhanced Semantic Understanding via Deep Triplet Loss Fine-Tuning
Vignesh Ethiraj
Ashwath David
Sidhanth Menon
Divya Vijay
Vidhyakshaya Kannan
173
1
0
23 Apr 2025
Tracing the Development of the Virtual Particle Concept Using Semantic
  Change Detection
Tracing the Development of the Virtual Particle Concept Using Semantic Change DetectionWorkshop on Computational Humanities Research (CHR), 2024
Michael Zichert
Adrian Wüthrich
139
1
0
22 Oct 2024
A Comprehensive Survey of Scientific Large Language Models and Their
  Applications in Scientific Discovery
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery
Yu Zhang
Xiusi Chen
Sara Szymkuć
Sheng Wang
Shuiwang Ji
Wei Wang
Jiawei Han
312
81
0
16 Jun 2024
1