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…
Drone-Based Multispectral Imaging and Deep Learning for Timely Detection of Branched Broomrape in Tomato Farms
arXiv:2509.09972v1 Announce Type: cross Abstract: This study addresses the escalating threat of branched broomrape (Phelipanche ramosa) to California’s tomato industry,…
OmniEVA: Embodied Versatile Planner via Task-Adaptive 3D-Grounded and Embodiment-aware Reasoning
arXiv:2509.09332v2 Announce Type: replace-cross Abstract: Recent advances in multimodal large language models (MLLMs) have opened new opportunities for embodied intelligence,…
Human-AI Collaboration Increases Efficiency in Regulatory Writing
arXiv:2509.09738v1 Announce Type: new Abstract: Background: Investigational New Drug (IND) application preparation is time-intensive and expertise-dependent, slowing early clinical development.…
MESH — Understanding Videos Like Human: Measuring Hallucinations in Large Video Models
arXiv:2509.08538v2 Announce Type: replace-cross Abstract: Large Video Models (LVMs) build on the semantic capabilities of Large Language Models (LLMs) and…
Towards Explainable Job Title Matching: Leveraging Semantic Textual Relatedness and Knowledge Graphs
arXiv:2509.09522v1 Announce Type: cross Abstract: Semantic Textual Relatedness (STR) captures nuanced relationships between texts that extend beyond superficial lexical similarity.…
A modified RIME algorithm with covariance learning and diversity enhancement for numerical optimization
arXiv:2509.09529v1 Announce Type: cross Abstract: Metaheuristics are widely applied for their ability to provide more efficient solutions. The RIME algorithm…
Merge-of-Thought Distillation
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…
An Interval Type-2 Version of Bayes Theorem Derived from Interval Probability Range Estimates Provided by Subject Matter Experts
arXiv:2509.08834v1 Announce Type: new Abstract: Bayesian inference is widely used in many different fields to test hypotheses against observations. In…