arXiv:2608.15546v2 Announce Type: replace Abstract: Most LLM-based automated algorithm design methods optimize a designated component within a…
Author: script
Visual Prompting for Robotic Manipulation with Annotation-Guided Pick-and-Place Using ACT
arXiv:2508.08748v2 Announce Type: replace-cross Abstract: Robotic pick-and-place tasks in convenience stores pose challenges due to dense object…
Admission Without Answers: Label-Free Certification and Experience Learning for LLM-Based Optimization Modeling
arXiv:2608.15565v2 Announce Type: replace Abstract: Experience-learning agents for optimization modeling improve by storing verified skills, but existing…
Exploring Efficient Open-Vocabulary Segmentation in the Remote Sensing
arXiv:2509.12040v3 Announce Type: replace-cross Abstract: Open-Vocabulary Remote Sensing Image Segmentation (OVRSIS), an emerging task that adapts…
LZ Penalty: An information-theoretic repetition penalty for autoregressive language models
arXiv:2504.20131v4 Announce Type: replace-cross Abstract: We introduce the LZ penalty, a penalty specialized for reducing degenerate repetitions in…
TabularQGAN: A quantum generative model for tabular data synthesis
arXiv:2505.22533v2 Announce Type: replace-cross Abstract: In this paper, we introduce a novel quantum generative model for synthesizing tabular data.…
Hidden Prompts in Manuscripts Exploit AI-Assisted Peer Review
arXiv:2507.06185v2 Announce Type: replace-cross Abstract: In July 2025, 18 academic manuscripts on arXiv contained hidden instructions that manipulated…
Multi-Scale Spectral Attention Module-based Hyperspectral Segmentation in Autonomous Driving Scenarios
arXiv:2506.18682v3 Announce Type: replace-cross Abstract: Recent advances in autonomous driving (AD) have highlighted the potential of hyperspectral…
OpenAI president urges enterprises to hasten AI security defences
OpenAI president and co-founder Greg Brockman warns that enterprise security teams face a compressed timeline to adopt AI defences. Brockman has published…
Beyond BFI: The CSI for Enhanced Reliability and Validity in Evaluating LLM Personality Traits
arXiv:2503.20182v2 Announce Type: replace-cross Abstract: As large language models (LLMs) increasingly function as human-like assistants exhibiting…