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 …
Generative ai and large language models for cyber security: All insights you need
This paper provides a comprehensive review of the future of cybersecurity through
Generative AI and Large Language Models (LLMs). We explore LLM applications across …
Generative AI and Large Language Models (LLMs). We explore LLM applications across …
Semformer: Transformer language models with semantic planning
Next-token prediction serves as the dominant component in current neural language
models. During the training phase, the model employs teacher forcing, which predicts tokens …
models. During the training phase, the model employs teacher forcing, which predicts tokens …
[HTML][HTML] Playing with words: Comparing the vocabulary and lexical diversity of ChatGPT and humans
Abstract The introduction of Artificial Intelligence (AI) generative language models such as
GPT (Generative Pre-trained Transformer) and conversational tools such as ChatGPT has …
GPT (Generative Pre-trained Transformer) and conversational tools such as ChatGPT has …
MeshXL: Neural Coordinate Field for Generative 3D Foundation Models
The polygon mesh representation of 3D data exhibits great flexibility, fast rendering speed,
and storage efficiency, which is widely preferred in various applications. However, given its …
and storage efficiency, which is widely preferred in various applications. However, given its …
[HTML][HTML] Generative AI in Cybersecurity: A Comprehensive Review of LLM Applications and Vulnerabilities
This paper provides a comprehensive review of the future of cybersecurity through
Generative AI and Large Language Models (LLMs). We explore LLM applications across …
Generative AI and Large Language Models (LLMs). We explore LLM applications across …
COrAL: Order-Agnostic Language Modeling for Efficient Iterative Refinement
Iterative refinement has emerged as an effective paradigm for enhancing the capabilities of
large language models (LLMs) on complex tasks. However, existing approaches typically …
large language models (LLMs) on complex tasks. However, existing approaches typically …