Adapting large language models for education: Foundational capabilities, potentials, and challenges
Online education platforms, leveraging the internet to distribute education resources, seek to
provide convenient education but often fall short in real-time communication with students …
provide convenient education but often fall short in real-time communication with students …
Poisonedrag: Knowledge poisoning attacks to retrieval-augmented generation of large language models
Large language models (LLMs) have achieved remarkable success due to their exceptional
generative capabilities. Despite their success, they also have inherent limitations such as a …
generative capabilities. Despite their success, they also have inherent limitations such as a …
AtomAgents: Alloy design and discovery through physics-aware multi-modal multi-agent artificial intelligence
A Ghafarollahi, MJ Buehler - arXiv preprint arXiv:2407.10022, 2024 - arxiv.org
The design of alloys is a multi-scale problem that requires a holistic approach that involves
retrieving relevant knowledge, applying advanced computational methods, conducting …
retrieving relevant knowledge, applying advanced computational methods, conducting …
CiteME: Can Language Models Accurately Cite Scientific Claims?
Thousands of new scientific papers are published each month. Such information overload
complicates researcher efforts to stay current with the state-of-the-art as well as to verify and …
complicates researcher efforts to stay current with the state-of-the-art as well as to verify and …
Generative AI, Research Ethics, and Higher Education Research: Insights from a Scientometric Analysis
In the digital age, the intersection of artificial intelligence (AI) and higher education (HE)
poses novel ethical considerations, necessitating a comprehensive exploration of this …
poses novel ethical considerations, necessitating a comprehensive exploration of this …
Institutional efforts to help academic researchers implement generative AI in research
J Liu, HV Jagadish - Harvard Data Science Review, 2024 - hdsr.mitpress.mit.edu
The scale and speed of the generative AI (artificial intelligence) revolution, while offering
unprecedented opportunities to advance science, is also challenging the traditional …
unprecedented opportunities to advance science, is also challenging the traditional …
[PDF][PDF] Gpt-neo-crv: Elevating information accuracy in gpt-neo with cross-referential validation
X Xiong, M Zheng - Authorea Preprints, 2024 - techrxiv.org
This paper introduces GPT-Neo-CRV, a novel adaptation of the GPT-Neo 1.5 B model,
incorporating a Cross-Referential Validation (CRV) module to significantly enhance the …
incorporating a Cross-Referential Validation (CRV) module to significantly enhance the …
[HTML][HTML] Advancing Life Cycle Assessment of Sustainable Green Hydrogen Production Using Domain-Specific Fine-Tuning by Large Language Models Augmentation
Y Chen, U Liebau, SM Guruprasad… - Machine Learning and …, 2024 - mdpi.com
Assessing the sustainable development of green hydrogen and assessing its potential
environmental impacts using the Life Cycle Assessment is crucial. Challenges in LCA, like …
environmental impacts using the Life Cycle Assessment is crucial. Challenges in LCA, like …
[HTML][HTML] Leveraging Large Language Models for Enhancing Literature-Based Discovery
The exponential growth of biomedical literature necessitates advanced methods for
Literature-Based Discovery (LBD) to uncover hidden, meaningful relationships and generate …
Literature-Based Discovery (LBD) to uncover hidden, meaningful relationships and generate …
[HTML][HTML] Voices from the algorithm: Large language models in social research
Research on energy and society often relies on online data collection. In particular, there
has been an increase in the use of online techniques such as video software for qualitative …
has been an increase in the use of online techniques such as video software for qualitative …