Fairness in large language models: A taxonomic survey
Large Language Models (LLMs) have demonstrated remarkable success across various
domains. However, despite their promising performance in numerous real-world …
domains. However, despite their promising performance in numerous real-world …
Large language model supply chain: A research agenda
The rapid advancements in pre-trained Large Language Models (LLMs) and Large
Multimodal Models (LMMs) have ushered in a new era of intelligent applications …
Multimodal Models (LMMs) have ushered in a new era of intelligent applications …
Reducing llm hallucination using knowledge distillation: A case study with mistral large and mmlu benchmark
D McDonald, R Papadopoulos, L Benningfield - Authorea Preprints, 2024 - techrxiv.org
The application of knowledge distillation to reduce hallucination in large language models
represents a novel and significant advancement in enhancing the reliability and accuracy of …
represents a novel and significant advancement in enhancing the reliability and accuracy of …
Instruction Backdoor Attacks Against Customized {LLMs}
The increasing demand for customized Large Language Models (LLMs) has led to the
development of solutions like GPTs. These solutions facilitate tailored LLM creation via …
development of solutions like GPTs. These solutions facilitate tailored LLM creation via …
Hummer: Towards limited competitive preference dataset
Preference datasets are essential for incorporating human preferences into pre-trained
language models, playing a key role in the success of Reinforcement Learning from Human …
language models, playing a key role in the success of Reinforcement Learning from Human …
Exploring Multilingual Human Value Concepts in Large Language Models: Is Value Alignment Consistent, Transferable and Controllable across Languages?
Prior research in representation engineering has revealed that LLMs encode concepts
within their representation spaces, predominantly centered around English. In this study, we …
within their representation spaces, predominantly centered around English. In this study, we …
A comparative analysis of large language models to evaluate robustness and reliability in adversarial conditions
T Goto, K Ono, A Morita - Authorea Preprints, 2024 - techrxiv.org
This study went on a comprehensive evaluation of four prominent Large Language Models
(LLMs)-Google Gemini, Mistral 8x7B, ChatGPT-4, and Microsoft Phi-1.5-to assess their …
(LLMs)-Google Gemini, Mistral 8x7B, ChatGPT-4, and Microsoft Phi-1.5-to assess their …
Against The Achilles' Heel: A Survey on Red Teaming for Generative Models
Generative models are rapidly gaining popularity and being integrated into everyday
applications, raising concerns over their safety issues as various vulnerabilities are …
applications, raising concerns over their safety issues as various vulnerabilities are …
Unique Security and Privacy Threats of Large Language Model: A Comprehensive Survey
With the rapid development of artificial intelligence, large language models (LLMs) have
made remarkable progress in natural language processing. These models are trained on …
made remarkable progress in natural language processing. These models are trained on …
Rapid Adoption, Hidden Risks: The Dual Impact of Large Language Model Customization
The increasing demand for customized Large Language Models (LLMs) has led to the
development of solutions like GPTs. These solutions facilitate tailored LLM creation via …
development of solutions like GPTs. These solutions facilitate tailored LLM creation via …