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Evaluation of openai o1: Opportunities and challenges of agi
This comprehensive study evaluates the performance of OpenAI's o1-preview large
language model across a diverse array of complex reasoning tasks, spanning multiple …
language model across a diverse array of complex reasoning tasks, spanning multiple …
Securing large language models: Addressing bias, misinformation, and prompt attacks
Large Language Models (LLMs) demonstrate impressive capabilities across various fields,
yet their increasing use raises critical security concerns. This article reviews recent literature …
yet their increasing use raises critical security concerns. This article reviews recent literature …
Foundational challenges in assuring alignment and safety of large language models
This work identifies 18 foundational challenges in assuring the alignment and safety of large
language models (LLMs). These challenges are organized into three different categories …
language models (LLMs). These challenges are organized into three different categories …
[HTML][HTML] From cobit to iso 42001: Evaluating cybersecurity frameworks for opportunities, risks, and regulatory compliance in commercializing large language models
This study investigated the integration readiness of four predominant cybersecurity
Governance, Risk and Compliance (GRC) frameworks–NIST CSF 2.0, COBIT 2019, ISO …
Governance, Risk and Compliance (GRC) frameworks–NIST CSF 2.0, COBIT 2019, ISO …
Localvaluebench: A collaboratively built and extensible benchmark for evaluating localized value alignment and ethical safety in large language models
GI Meadows, NWL Lau, EA Susanto, CL Yu… - arxiv preprint arxiv …, 2024 - arxiv.org
The proliferation of large language models (LLMs) requires robust evaluation of their
alignment with local values and ethical standards, especially as existing benchmarks often …
alignment with local values and ethical standards, especially as existing benchmarks often …
Automated summarization of multiple document abstracts and contents using large language models
O Langston, B Ashford - Authorea Preprints, 2024 - techrxiv.org
The exponential growth of textual data across various domains necessitates the
development of efficient and accurate summarization techniques to facilitate quick …
development of efficient and accurate summarization techniques to facilitate quick …
Open problems in technical ai governance
AI progress is creating a growing range of risks and opportunities, but it is often unclear how
they should be navigated. In many cases, the barriers and uncertainties faced are at least …
they should be navigated. In many cases, the barriers and uncertainties faced are at least …
A systematic survey and critical review on evaluating large language models: Challenges, limitations, and recommendations
Abstract Large Language Models (LLMs) have recently gained significant attention due to
their remarkable capabilities in performing diverse tasks across various domains. However …
their remarkable capabilities in performing diverse tasks across various domains. However …
Enhancing compute-optimal inference for problem-solving with optimized large language model
S Hayashi, R Fujimoto, G Okamoto - Authorea Preprints, 2024 - techrxiv.org
The growing computational demands of advanced AI models necessitate innovative
approaches to enhance efficiency while maintaining high performance. Our novel concept …
approaches to enhance efficiency while maintaining high performance. Our novel concept …
International Scientific Report on the Safety of Advanced AI (Interim Report)
This is the interim publication of the first International Scientific Report on the Safety of
Advanced AI. The report synthesises the scientific understanding of general-purpose AI--AI …
Advanced AI. The report synthesises the scientific understanding of general-purpose AI--AI …