IEEE

LLM Agentic Workflow for Automated Vulnerability Detection and Remediation in Infrastructure-as-Code

Abstract: This paper presents a multi-agent, AI-driven strategy employing Large Language Models (LLMs), retrieval-augmented generation, and a continuously updated knowledge base for the detection and ...
GitHub

Evaluating Large Language Models using LLM-as-a-Judge

Evaluating large language models (LLM) is challenging due to their broad capabilities and the inadequacy of existing benchmarks in measuring human preferences. To address this, strong LLMs are used as ...
GitHub

CausalInferenceLab/awesome-causal-inference-python

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IEEE

Code as Policies: Language Model Programs for Embodied Control

Abstract: Large language models (LLMs) trained on code-completion have been shown to be capable of synthesizing simple Python programs from docstrings [1]. We find that these code-writing LLMs can be ...