Securing LLM-Generated Embedded Firmware through AI Agent-Driven Validation and Patching
arXiv:2509.09970v1 Announce Type: cross Abstract: Large Language Models (LLMs) show promise in generating firmware for embedded systems, but often introduce…
arXiv:2509.09970v1 Announce Type: cross Abstract: Large Language Models (LLMs) show promise in generating firmware for embedded systems, but often introduce…
arXiv:2509.08926v2 Announce Type: replace-cross Abstract: Object re-identification (Re-ID) methods are highly sensitive to label noise, which typically leads to significant…
arXiv:2509.08834v1 Announce Type: new Abstract: Bayesian inference is widely used in many different fields to test hypotheses against observations. In…
arXiv:2509.08814v2 Announce Type: replace-cross Abstract: Efficient reasoning distillation for long chain-of-thought (CoT) models is increasingly constrained by the assumption of…
arXiv:2509.09529v1 Announce Type: cross Abstract: Metaheuristics are widely applied for their ability to provide more efficient solutions. The RIME algorithm…
arXiv:2509.09522v1 Announce Type: cross Abstract: Semantic Textual Relatedness (STR) captures nuanced relationships between texts that extend beyond superficial lexical similarity.…
arXiv:2509.08538v2 Announce Type: replace-cross Abstract: Large Video Models (LVMs) build on the semantic capabilities of Large Language Models (LLMs) and…