Publications (6)
Intrinsic Fingerprint of LLMs: Continue Training is NOT All You Need to Steal A Model!
Do-hyeon Yoon, Minsoo Chun, Thomas Allen +3
Large language models (LLMs) face significant copyright and intellectual property challenges as the cost of training increases and model reuse becomes prevalent. While watermarking…
A highly scalable Met Office NERC Cloud model
Nick Brown, Michèle Weiland, Adrian Hill +4
Large Eddy Simulation is a critical modelling tool for scientists investigating atmospheric flows, turbulence and cloud microphysics. Within the UK, the principal LES model used by…
Experimenting with Large Language Models and vector embeddings in NASA SciX
Sergi Blanco-Cuaresma, Ioana CiucÄ, Alberto Accomazzi +19
Open-source Large Language Models enable projects such as NASA SciX (i.e., NASA ADS) to think out of the box and try alternative approaches for information retrieval and data augme…
INDUS: Effective and Efficient Language Models for Scientific Applications
Bishwaranjan Bhattacharjee, Aashka Trivedi, Masayasu Muraoka +33
Large language models (LLMs) trained on general domain corpora showed remarkable results on natural language processing (NLP) tasks. However, previous research demonstrated LLMs tr…
Improving astroBERT using Semantic Textual Similarity
Felix Grezes, Thomas Allen, Sergi Blanco-Cuaresma +13
The NASA Astrophysics Data System (ADS) is an essential tool for researchers that allows them to explore the astronomy and astrophysics scientific literature, but it has yet to exp…
The Riemann Problem for a 3x3 Generalized Chaplygin Gas System with Variable Pressure
Thomas Allen, Ella Kim, Jonathan Nunes +2
We consider the Riemann problem for a 3x3 system of conservation laws with generalized Chaplygin pressure , , where the pressure depends on…