sCellST predicts single-cell gene expression from H& E images
Post Content
Bare-Metal Tensor Virtualization: Overcoming the Memory Wall in Edge-AI Inference on ARM64
arXiv:2601.03324v1 Announce Type: cross Abstract: The deployment of Large Language Models (LLMs) on edge devices is fundamentally constrained by the…
Do LLMs Really Memorize Personally Identifiable Information? Revisiting PII Leakage with a Cue-Controlled Memorization Framework
arXiv:2601.03791v1 Announce Type: cross Abstract: Large Language Models (LLMs) have been reported to “leak” Personally Identifiable Information (PII), with successful…
OnlineMate: An LLM-Based Multi-Agent Companion System for Cognitive Support in Online Learning
arXiv:2509.14803v4 Announce Type: replace-cross Abstract: In online learning environments, students often lack personalized peer interactions, which are crucial for cognitive…
MMErroR: A Benchmark for Erroneous Reasoning in Vision-Language Models
arXiv:2601.03331v1 Announce Type: cross Abstract: Recent advances in Vision-Language Models (VLMs) have improved performance in multi-modal learning, raising the question…
NeoAMT: Neologism-Aware Agentic Machine Translation with Reinforcement Learning
arXiv:2601.03790v1 Announce Type: cross Abstract: Neologism-aware machine translation aims to translate source sentences containing neologisms into target languages. This field…
Safety at One Shot: Patching Fine-Tuned LLMs with A Single Instance
arXiv:2601.01887v2 Announce Type: cross Abstract: Fine-tuning safety-aligned large language models (LLMs) can substantially compromise their safety. Previous approaches require many…
Scale-aware Adaptive Supervised Network with Limited Medical Annotations
arXiv:2601.01005v1 Announce Type: cross Abstract: Medical image segmentation faces critical challenges in semi-supervised learning scenarios due to severe annotation scarcity…