Exploring automated energy optimization with unstructured building data: A multi-agent based framework leveraging large language models

T Xiao, P Xu - Energy and Buildings, 2024 - Elsevier
The building sector is a significant energy consumer, making building energy optimization
crucial for reducing energy demand. Automating energy optimization tasks eases the …

Testing the ability and limitations of ChatGPT to generate differential diagnoses from transcribed radiologic findings

SH Sun, K Huynh, G Cortes, R Hill, J Tran, L Yeh… - Radiology, 2024 - pubs.rsna.org
Background The burgeoning interest in ChatGPT as a potentially useful tool in medicine
highlights the necessity for systematic evaluation of its capabilities and limitations. Purpose …

Using Large Language Models to Assist Antimicrobial Resistance Policy Development: Integrating the Environment into Health Protection Planning

C Chen, SL Li, AD So, YY Xu, ZF Guo… - Environmental …, 2025 - ACS Publications
Increasing antimicrobial resistance (AMR) poses a substantial threat to global health and
economies, which has led many countries and regions to develop AMR National Action …

[HTML][HTML] Knowledge-Empowered, Collaborative, and Co-Evolving AI Models: The Post-LLM Roadmap

F Wu, T Shen, T Bäck, J Chen, G Huang, Y Jin… - Engineering, 2024 - Elsevier
Large language models (LLMs) have significantly advanced artificial intelligence (AI) by
excelling in tasks such as understanding, generation, and reasoning across multiple …

Toward large language models as a therapeutic tool: Comparing prompting techniques to improve gpt-delivered problem-solving therapy

D Filienko, Y Wang, CE Jazmi, S Xie, T Cohen… - arXiv preprint arXiv …, 2024 - arxiv.org
While Large Language Models (LLMs) are being quickly adapted to many domains,
including healthcare, their strengths and pitfalls remain under-explored. In our study, we …

GUARD-D-LLM: An LLM-Based Risk Assessment Engine for the Downstream uses of LLMs

S Vishwakarma - arXiv preprint arXiv:2406.11851, 2024 - arxiv.org
Amidst escalating concerns about the detriments inflicted by AI systems, risk management
assumes paramount importance, notably for high-risk applications as demanded by the …

Impact of Language Models on Healthcare in Thailand: Benefits, Challenges, and Future Opportunities

C Moongthin - medRxiv, 2024 - medrxiv.org
This study explores the use of Artificial Intelligence (AI), specifically Large Language Models
(LLMs) in the Thai healthcare sector, focusing on applications such as diagnosis, patient …

Evaluating Performance and Trustworthiness of RAG Systems for Generating Administrative Text

H Sánchez-Navalón, C Monserrat, D Garigliotti… - … on Intelligent Data …, 2024 - Springer
As administrative language tends to be formal and exempt from double meanings or
figurative expressions, it is a particular domain in which to explore the performance of …

Homeopathic Poisoning of RAG Systems

B Addad, K Kapusta - … Conference on Computer Safety, Reliability, and …, 2024 - Springer
Despite their remarkable success and wide use in many applications, large language
models (LLMs) are not free from intrinsic vulnerabilities (eg prompt injection). They may also …

Knowledge Acquisition through Continued Pretraining is Difficult: A Case Study on r/AskHistorians

J Hoffbauer, S Sawicki, M Ulrich, T Buz… - Proceedings of the …, 2024 - aclanthology.org
Abstract Powerful LLMs like ChatGPT are adopted rapidly for a wide array of tasks, but their
limitations in domain-specific areas become apparent, particularly when prompted to recite …