arXiv:2509.11206v2 Announce Type: replace-cross Abstract: Practitioners increasingly rely on Large Language Models (LLMs) to evaluate generative AI outputs through “LLM-as-a-Judge”…
arXiv:2509.12888v1 Announce Type: cross Abstract: Rectified flow (RF) models have recently demonstrated superior generative performance compared to DDIM-based diffusion models.…
arXiv:2509.12892v1 Announce Type: cross Abstract: Large language models (LLMs) have recently demonstrated excellent performance in text embedding tasks. Previous work…
arXiv:2509.11594v2 Announce Type: replace-cross Abstract: GBPP is a fast learning based scorer that selects a robot base pose for grasping…
arXiv:2509.12251v1 Announce Type: new Abstract: This paper develops an autonomous agentic framework called V-Math that aims to assist Vietnamese high…
arXiv:2509.10011v2 Announce Type: replace-cross Abstract: This paper introduces the Intrinsic Dimension Estimating Autoencoder (IDEA), which identifies the underlying intrinsic dimension…
arXiv:2509.11601v1 Announce Type: cross Abstract: Effective network state classification is a primary task for ensuring network security and optimizing performance.…
arXiv:2509.10414v2 Announce Type: replace-cross Abstract: In-context learning (ICL) allows some autoregressive models to solve tasks via next-token prediction and without…
arXiv:2509.10541v1 Announce Type: new Abstract: Air pollution in cities and the possibilities of reducing this pollution represents one of the…
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…
