Privacy in Context Is Being Overlooked in the Age of General-Purpose LLMs
arXiv:2610.29925v1 Announce Type: cross Abstract: As large language models (LLMs) continue to grow in scope and capability, privacy concerns are…
Efficient equivariant framework for universal charge density prediction
Nature Machine Intelligence, Published online: 23 October 2026; doi:10.1038/s42256-026-01326-5 Li et al. introduce EdenGNN-Uni, a universal charge density model for…
InsightRAG: Aggregating Distributed Scholarly Judgments for Scientific Survey Generation
arXiv:2610.28085v1 Announce Type: new Abstract: The rapid growth of scientific literature makes survey writing increasingly challenging, motivating automatic survey generation.…
ABench: Adversarily Benchmarking Large Language Models across Taxonomized Values
arXiv:2610.27611v1 Announce Type: cross Abstract: Ensuring the alignment of Large Language Models (LLMs) with diverse cultural values is critical for…
Abstract Compression of Conversational Audio Context for LLM-based ASR
arXiv:2603.26246v2 Announce Type: replace-cross Abstract: Standard LLM-based speech recognition systems process utterances in isolation, limiting their ability to leverage conversational…
Retargeting Motions to Diverse Skeletons via Learnable Flattening
arXiv:2609.38578v3 Announce Type: replace-cross Abstract: Cross-structural motion retargeting aims to transfer motion between different skeletal topologies. Despite recent progress, existing…
IECG: Weakly-Supervised Interpretability-Enhancing Foundation Model for Electrocardiogram
arXiv:2610.28083v1 Announce Type: new Abstract: Electrocardiography (ECG) is a cornerstone of cardiac diagnosis, yet most machine learning methods for ECG…