All Articles
17524 articles total
At-Grok Is Not Converged:A Measurement-Validity Audit for Grokking Representation Metrics
A measurement-validity audit showing that representational compression in networks continues long after the accuracy transition during grokking, challenging existing metrics.
Book: RISC-V System-on-Chip Design
A book discussing the design of RISC-V based Systems-on-Chip (SoC).
Security and Privacy in Agentic AI: Grand Challenges and Future Directions
A research paper outlining the security and privacy challenges associated with the increasing agency of AI agents.
D2PO: Optimizing Diffusion Samplers via Dynamic Preference
Introduction of D2PO, a framework that optimizes diffusion samplers using dynamic preference optimization to improve perceptual quality.
Deep Reinforcement Learning for Reliability Based Bi-Objective Portfolio Optimization
A deep reinforcement learning framework (MORP-DRL) designed for bi-objective portfolio optimization considering reliability and risk.
Audio Sentiment Analysis via Distillation and Cross-Modal Integration of Generated Multilingual Transcripts
A multimodal approach to audio sentiment analysis using distilled cross-modal transformers and multilingual transcripts.
PRoVeFL: Private Robust and Verifiable Aggregation in Federated Learning
PRoVeFL is a new federated learning framework that provides privacy-preserving, Byzantine-robust, and verifiable aggregation.
STAGformer: A Spatio-temporal Agent Graph Transformer for Micro Mobility Demand Forecasting
STAGformer, a spatio-temporal agent graph transformer, is proposed for more efficient micro-mobility demand forecasting.
WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning
FedEAS is a budget-aware synthetic augmentation policy designed to reduce label skew in federated learning.
Inertia-1: An Open Exploration of Wearable Motion Foundation Models
Inertia-1 is an open exploration and 'cookbook' for building foundation models for wearable motion sensing data.
Overview of the NLPCC 2026 Shared Task 1: Difficulty-Aware Multilingual and Multimodal Medical Instructional Video Understanding Evaluation
Overview of the DA-MIVQA shared task for NLPCC 2026, focusing on difficulty-aware medical instructional video understanding.
Spider venom kills varroa mites without harming honeybees
Researchers found that spider venom can eliminate varroa mites without harming honeybees, providing a potential biological control method.
What's slowing down the AI buildout
A discussion on the bottlenecks and challenges currently slowing down the expansion of AI infrastructure and deployment.
The Strange Locomotion of Spirocuta
An exploration into the unique and unusual locomotion patterns of Spirocuta, a genus of bacteria.
LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection
Introduces LipSSD, a Lipschitz-constrained Single Shot Detector designed to improve the adversarial robustness of object detection systems.
When Agents Remember Too Much: Memory Poisoning Attacks on Large Language Model Agents
Introduces the GhostWriter attack, demonstrating how LLM agents with long-term memory can be poisoned, and proposes AM-Sentry as a mitigation strategy.
Non-contact, Real-time, Heart-rate Measurement using Image Processing with Commodity Cameras and AI Agents
A system for real-time, non-contact heart rate measurement using commodity cameras and image processing AI agents.
MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices
MiLSD is a micro line-segment detector designed specifically for resource-constrained MCU devices with a sub-megabyte memory budget.
TriRoute: Unified Learned Routing for Joint Adaptive Attention, Experts, and KV-Cache Allocation
TriRoute proposes a unified learned routing system to jointly optimize attention, expert selection, and KV-cache allocation in language models.
Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? -- A Theoretical and Empirical Study
A theoretical and empirical study on the relationship between counterfactual and group fairness in image classifiers.