Risks of AI scientists: prioritizing safeguarding over autonomy
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Evalet: Evaluating Large Language Models by Fragmenting Outputs into Functions
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”…
Runge-Kutta Approximation and Decoupled Attention for Rectified Flow Inversion and Semantic Editing
arXiv:2509.12888v1 Announce Type: cross Abstract: Rectified flow (RF) models have recently demonstrated superior generative performance compared to DDIM-based diffusion models.…
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…