The widespread use of large-scale language models (LLMs) in security-critical areas has raised a crucial challenge: how to ensure their ...
Generative ai has often faced criticism for its inability to reason effectively, particularly in scenarios that require precise and deterministic ...
Remarkable advances in multimodal large language models (MLLMs) have not made them immune to challenges, particularly in the context of ...
Implementation of speculative and contrastive decodingLarge language models are composed of billions of parameters (weights). For each word it generates, ...
Here are some examples Request:tell me a list of processes that were executed between 2021/10/19 and 2021/11/30 SQL:select * from ...
In a world full of pictures and visuals, imagine the possibilities if technology could truly understand and describe them. That’s ...
Enterprises are facing challenges in accessing their data assets scattered across various sources because of increasing complexities in managing vast ...
This paper was accepted into the Safe Generative ai Workshop (SGAIW) at NeurIPS 2024. Large language models (LLMs) could be ...
This article was accepted into the Foundation Model Interventions (MINT) Workshop at NeurIPS 2024. Following instructions is crucial for creating ...
A fast, low-resource method using similarity-based attributionInformation flow between an input document and its summary calculated using the proposed explainability ...
