Survey of vulnerabilities in large language models revealed by adversarial attacks
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 …
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
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 …
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
The ability of large language models (LLMs) to follow natural language instructions with
human-level fluency suggests many opportunities in healthcare to reduce administrative …
human-level fluency suggests many opportunities in healthcare to reduce administrative …
Large language model enhanced multi-agent systems for 6G communications
The rapid development of the large language model (LLM) presents huge opportunities for
6G communications–for example, network optimization and management–by allowing users …
6G communications–for example, network optimization and management–by allowing users …
Honeycomb: A flexible llm-based agent system for materials science
The emergence of specialized large language models (LLMs) has shown promise in
addressing complex tasks for materials science. Many LLMs, however, often struggle with …
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
The development of believable, natural, and interactive digital artificial agents is a field of
growing interest. Theoretical uncertainties and technical barriers present considerable …
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 …
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
The digitization of traffic sensing infrastructure has significantly accumulated an extensive
traffic data warehouse, which presents unprecedented challenges for transportation …
traffic data warehouse, which presents unprecedented challenges for transportation …
Glitchprober: Advancing effective detection and mitigation of glitch tokens in large language models
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 …
language processing. However, the black-box nature of their internal mechanisms has …
When large language models meet optical networks: paving the way for automation
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) …
advancements in all walks of life. As a superior natural language processing (NLP) …