All Articles
16870 articles total
When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration
An empirical study on 'authorship calibration' explores how heavy AI use leads users to misjudge their actual contribution to AI-generated content.
Designing emoji for the way we communicate today
A discussion on the design processes and communication goals behind modern emoji creation.
Short sellers notch $8.7B profit as SpaceX shares dip to IPO price
Short sellers made significant profits as SpaceX shares dropped toward the IPO price.
FlashDecoder: Real-Time Latent-to-Pixel Streaming Decoder with Transformers
Introduction of FlashDecoder, a pure-Transformer video decoder that enables real-time, memory-efficient streaming video generation at 1080p.
Show Me How You Reason and I'll Tell You Who You Are: Reasoning Graphs for Robust LLM Authorship Attribution
A new GNN-based approach for LLM authorship attribution that uses reasoning graphs to be more robust against paraphrasing attacks.
Random Logit Scaling: Defending Deep Neural Networks Against Black-Box Score-Based Adversarial Example Attacks
Proposed Random Logit Scaling (RLS) as a plug-and-play defense to protect neural networks from black-box score-based adversarial attacks.
Benchmarking Face Recognition without Real Faces
Research demonstrating that high-fidelity synthetic datasets like MorphFace and Vec2Face can replace real faces for benchmarking face recognition models.
A Minimal Interpretable Architecture for Zero-Shot Reconstruction of Dynamical Systems
Introduction of DynaBase, a minimal two-parameter architecture for zero-shot reconstruction of dynamical systems, reducing complexity while maintaining performance.
Steering Robustness into World Action Models via Mechanistic Interpretability and Optimal Control
Development of WA-LQR, a controller that uses mechanistic interpretability and optimal control to improve the robustness of World Action Models (WAMs).
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation
A new RL objective called multi-axis max@K to improve the representative diversity and fairness of text-to-image generation models.
Latent Trajectory Discrimination for AI-Generated Text Detection
The GTCL framework detects AI-generated text by analyzing the geometric trajectories of latent representations during the autoregressive generation process.
Frame – the first Linux Assembly X server
Announcement of Frame, the first X server written in Linux Assembly, aiming for extreme efficiency and minimal overhead.
Frank Lloyd Wright's First Home
A look at the first home designed by architect Frank Lloyd Wright.
CO2 overload, detected in human blood, suggests toxic atmosphere within 50 years
Research suggesting that CO2 levels detected in human blood could indicate a toxic atmosphere within 50 years.
Asus’ top-end 4K QD-OLED gaming monitor is $400 off
A discount offer for the Asus ROG Swift 4K QD-OLED gaming monitor, highlighting its 240Hz refresh rate and G-Sync support.
Interventional Causal Circuits for Safe Robot Action Testing and Failure Recovery
A proposed framework using Joint Probability Trees and Causal Circuits for safe robot action testing and efficient failure recovery in ROS2 environments.
RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems
Introduction of the RW-Voice-EQ Bench, a comprehensive benchmark for evaluating the acoustic and expressive capabilities of voice AI systems.
Asymmetric Peak-Aware Loss for Peak-Critical Time Series Forecasting
The Asymmetric Peak-Aware Loss (APAL) objective is introduced to improve the prediction of rare demand spikes in time-series forecasting.
Does generative AI supersede supervised XMLC? A Benchmark Study on Automated Subject Indexing with German Scientific Literature
A study comparing supervised XMLC methods with LLM-based generative methods for automated subject indexing of German scientific literature.
Innocuous-Seeming Data, Latent Ideology: Ideological Generalisation in Finetuned LLMs
Research demonstrating 'ideological generalisation', where finetuning LLMs on narrow datasets causes broad, unintended ideological shifts across unrelated domains.