All Articles
17521 articles total
EU Parliament greenlights Chat Control 1.0 – Breyer: "Our children lose out"
The EU Parliament has approved 'Chat Control 1.0', a controversial regulation potentially impacting digital privacy and communication security.
Bonnie Tyler, singer of Total Eclipse of the Heart, dies aged 75
Singer Bonnie Tyler has passed away at the age of 75.
Heterogeneity-Adaptive Diffusion Schrodinger Bridge for PET-Guided Whole-Body MRI Translation
Researchers propose HA-DSB, a framework using Diffusion Schrodinger Bridges and VLMs to improve whole-body MRI translation from PET scans.
RLVP: Penalize the Path, Reward the Outcome
A new RL approach called RLVP suggests penalizing the path and rewarding the outcome to ensure agents respect constraints in costly real-world interactions.
SynthAVE: Scalable Synthetic Labeling for E-Commerce with LLM-Arena Validation
SynthAVE is introduced as a scalable synthetic labeling benchmark for e-commerce attribute extraction, validated by a multi-LLM arena framework.
Where to Intervene? Benchmarking Fairness-Aware Learning on Differentially Private Synthetic Tabular Data
This research evaluates fairness interventions on differentially private synthetic tabular data, finding that post-processing methods offer the best fairness-utility trade-offs.
Beyond Attack-Success Rate: Action-Graded Severity Scale for Tool-Using AI Agents
The authors propose an action-graded severity scale (L0-L6) to better measure the actual harm caused by compromised tool-using AI agents compared to binary success rates.
Reward-Adaptive Iterative Discovery: A Case Study on Automated Game Testing for NHL26
RAID is a reward-adaptive iterative discovery approach used to automatically find behavioral exploits in the AI of EA SPORTS NHL 26.
TimEE: End-to-end Time Series Classification via In-Context Learning
TimEE is a 4.5M-parameter foundation model that performs end-to-end time series classification via in-context learning using purely synthetic pre-training.
HIVE: Understanding Post-Hallucination Reasoning in Vision Language Models
HIVE is an evaluation infrastructure designed to study how hallucinated semantics in Vision Language Models influence subsequent reasoning processes.
My Thoughts on the Bun Rust Rewrite
A discussion regarding the technical implications and motivations behind rewriting the Bun runtime in Rust.
The Field Equation, living shader geometry folded into a breathing object
Exploration of 'The Field Equation', a project involving living shader geometry and breathing objects.
Hypergraph Neural Stochastic Diffusion: An SDE Framework for Uncertainty Estimation
Introduction of HyperNSD, a stochastic differential equation framework for uncertainty estimation in hypergraph neural networks.
Quantum simulation of real-world nonlinear dynamics via Koopman method
Research on simulating real-world nonlinear dynamics using a quantum Koopman method on superconducting processors.
Latency-Aware Bid Acceptance under Operational Feasibility: A Public Benchmark with Hindsight Ceilings
Introduction of FreightBidBench, a public benchmark for online truckload bid acceptance and operational feasibility.
HumAIN: Human-Aware Implicit Social Robot Navigation
HumAIN is a novel framework for human-aware social robot navigation using knowledge distillation to enable real-time deployment.
Multi-Agent AI Control: Distributed Attacks Hamper Per-Instance Monitors
A study on multi-agent AI control and the 'fragmentation effect' where distributed attacks bypass per-instance monitors.
Behavior Foundations for Quadruped Robots: ABot-C0 Technical Report
ABot-C0 is a generalist motion-control system for quadruped robots featuring a scalable multi-source motion-data pipeline.
On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces
Analysis of adversarial vulnerability in Vision-Language Models (VLMs) via intermediate spectral subspaces and the SSGRA attack method.
When Prompts Ignore Structure: Graph-Based Attribute Reasoning for Calibrated VLMs
Introduction of ARGTCA, a graph-based attribute reasoning method to improve confidence estimation and calibration in VLMs.