Conan-Embedding-v2: Training an LLM from Scratch for Text Embeddings
arXiv:2509.12892v1 Announce Type: cross Abstract: Large language models (LLMs) have recently demonstrated excellent performance in text embedding tasks. Previous work…
GBPP: Grasp-Aware Base Placement Prediction for Robots via Two-Stage Learning
arXiv:2509.11594v2 Announce Type: replace-cross Abstract: GBPP is a fast learning based scorer that selects a robot base pose for grasping…
V-Math: An Agentic Approach to the Vietnamese National High School Graduation Mathematics Exams
arXiv:2509.12251v1 Announce Type: new Abstract: This paper develops an autonomous agentic framework called V-Math that aims to assist Vietnamese high…
Intrinsic Dimension Estimating Autoencoder (IDEA) Using CancelOut Layer and a Projected Loss
arXiv:2509.10011v2 Announce Type: replace-cross Abstract: This paper introduces the Intrinsic Dimension Estimating Autoencoder (IDEA), which identifies the underlying intrinsic dimension…
Dynamic Adaptive Parsing of Temporal and Cross-Variable Patterns for Network State Classification
arXiv:2509.11601v1 Announce Type: cross Abstract: Effective network state classification is a primary task for ensuring network security and optimizing performance.…
Is In-Context Learning Learning?
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…
Situation Model of the Transport, Transport Emissions and Meteorological Conditions
arXiv:2509.10541v1 Announce Type: new Abstract: Air pollution in cities and the possibilities of reducing this pollution represents one of the…
Similarity-based Outlier Detection for Noisy Object Re-Identification Using Beta Mixtures
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…
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,…