Survey of vulnerabilities in large language models revealed by adversarial attacks

E Shayegani, MAA Mamun, Y Fu, P Zaree… - arxiv preprint arxiv …, 2023 - arxiv.org
Large Language Models (LLMs) are swiftly advancing in architecture and capability, and as
they integrate more deeply into complex systems, the urgency to scrutinize their security …

Advancing transformer architecture in long-context large language models: A comprehensive survey

Y Huang, J Xu, J Lai, Z Jiang, T Chen, Z Li… - arxiv preprint arxiv …, 2023 - arxiv.org
With the bomb ignited by ChatGPT, Transformer-based Large Language Models (LLMs)
have paved a revolutionary path toward Artificial General Intelligence (AGI) and have been …

Medalign: A clinician-generated dataset for instruction following with electronic medical records

SL Fleming, A Lozano, WJ Haberkorn… - Proceedings of the …, 2024 - ojs.aaai.org
The ability of large language models (LLMs) to follow natural language instructions with
human-level fluency suggests many opportunities in healthcare to reduce administrative …

Large language model enhanced multi-agent systems for 6G communications

F Jiang, Y Peng, L Dong, K Wang… - IEEE Wireless …, 2024 - ieeexplore.ieee.org
The rapid development of the large language model (LLM) presents huge opportunities for
6G communications–for example, network optimization and management–by allowing users …

Honeycomb: A flexible llm-based agent system for materials science

H Zhang, Y Song, Z Hou, S Miret, B Liu - arxiv preprint arxiv:2409.00135, 2024 - arxiv.org
The emergence of specialized large language models (LLMs) has shown promise in
addressing complex tasks for materials science. Many LLMs, however, often struggle with …

An appraisal-based chain-of-emotion architecture for affective language model game agents

M Croissant, M Frister, G Schofield, C McCall - Plos one, 2024 - journals.plos.org
The development of believable, natural, and interactive digital artificial agents is a field of
growing interest. Theoretical uncertainties and technical barriers present considerable …

[HTML][HTML] QA-RAG: Exploring LLM Reliance on External Knowledge

A Mansurova, A Mansurova… - Big Data and Cognitive …, 2024 - mdpi.com
Large language models (LLMs) can store factual knowledge within their parameters and
have achieved superior results in question-answering tasks. However, challenges persist in …

Traffic performance gpt (tp-gpt): Real-time data informed intelligent chatbot for transportation surveillance and management

B Wang, Z Cai, MM Karim, C Liu, Y Wang - arxiv preprint arxiv …, 2024 - arxiv.org
The digitization of traffic sensing infrastructure has significantly accumulated an extensive
traffic data warehouse, which presents unprecedented challenges for transportation …

Glitchprober: Advancing effective detection and mitigation of glitch tokens in large language models

Z Zhang, W Bai, Y Li, MH Meng, K Wang, L Shi… - Proceedings of the 39th …, 2024 - dl.acm.org
Large language models (LLMs) have achieved unprecedented success in the field of natural
language processing. However, the black-box nature of their internal mechanisms has …

When large language models meet optical networks: paving the way for automation

D Wang, Y Wang, X Jiang, Y Zhang, Y Pang, M Zhang - Electronics, 2024 - mdpi.com
Since the advent of GPT, large language models (LLMs) have brought about revolutionary
advancements in all walks of life. As a superior natural language processing (NLP) …