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From google gemini to openai q*(q-star): A survey of resha** the generative artificial intelligence (ai) research landscape
This comprehensive survey explored the evolving landscape of generative Artificial
Intelligence (AI), with a specific focus on the transformative impacts of Mixture of Experts …
Intelligence (AI), with a specific focus on the transformative impacts of Mixture of Experts …
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 …
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 …
A reasoning and value alignment test to assess advanced gpt reasoning
In response to diverse perspectives on artificial general intelligence (AGI), ranging from
potential safety and ethical concerns to more extreme views about the threats it poses to …
potential safety and ethical concerns to more extreme views about the threats it poses to …
Hallucination-free? assessing the reliability of leading ai legal research tools
Legal practice has witnessed a sharp rise in products incorporating artificial intelligence (AI).
Such tools are designed to assist with a wide range of core legal tasks, from search and …
Such tools are designed to assist with a wide range of core legal tasks, from search and …
Or-bench: An over-refusal benchmark for large language models
Large Language Models (LLMs) require careful safety alignment to prevent malicious
outputs. While significant research focuses on mitigating harmful content generation, the …
outputs. While significant research focuses on mitigating harmful content generation, the …
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 …
Efficient training and inference: Techniques for large language models using llama
SR Cunningham, D Archambault, A Kung - Authorea Preprints, 2024 - techrxiv.org
To enhance the efficiency of language models, it would involve optimizing their training and
inference processes to reduce computational demands while maintaining high performance …
inference processes to reduce computational demands while maintaining high performance …
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 …