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Scientific knowledge graph and ontology generation using open large language models.

Digit Discov
Oarga A, Hart M, Bran AM, Lederbauer M, Schwaller P.   +4 more
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Academic Publishing as a Complex System

Varga T, Uleman J, Tuffier S, Rod MH, Osooli M.   +4 more
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Probing into Pre-Service Science Teachers’ Practices of Scientific Evaluation and Decision-Making on Socio-scientific Issues

Journal of Science Teacher Education, 2021
A common practice amongst scientists is to evaluate the connections between evidence and claims about natural and human-induced phenomena. Teacher education coursework may improve understanding of this important activity and facilitate teachers to ...
G. Ceyhan, D. Lombardi, Deniz Sarıbaş
semanticscholar   +1 more source

Scientific Evaluation

Encyclopedia of Social Network Analysis and Mining, 2014
openaire   +2 more sources

NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each Benchmark

Conference on Empirical Methods in Natural Language Processing, 2023
In this position paper, we argue that the classical evaluation on Natural Language Processing (NLP) tasks using annotated benchmarks is in trouble. The worst kind of data contamination happens when a Large Language Model (LLM) is trained on the test ...
Oscar Sainz, Jon Ander Campos, Iker García-Ferrero, Julen Etxaniz, Oier López de Lacalle, Eneko Agirre   +5 more
semanticscholar   +1 more source

Anomaly Detection in Time Series: A Comprehensive Evaluation

Proceedings of the VLDB Endowment, 2022
Detecting anomalous subsequences in time series data is an important task in areas ranging from manufacturing processes over finance applications to health care monitoring.
Sebastian Schmidl, Phillip Wenig, Thorsten Papenbrock   +2 more
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MatPlotAgent: Method and Evaluation for LLM-Based Agentic Scientific Data Visualization

Annual Meeting of the Association for Computational Linguistics
Scientific data visualization plays a crucial role in research by enabling the direct display of complex information and assisting researchers in identifying implicit patterns.
Zhiyu Yang, Zihan Zhou, Shuo Wang, X. Cong, Xu Han, Yukun Yan, Zhenghao Liu, Zhixing Tan, Pengyuan Liu, Dong Yu, Zhiyuan Liu, Xiaodong Shi, Maosong Sun   +12 more
semanticscholar   +1 more source