Differentially Private Natural Gradient Descent
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Noticias de IA
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Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Languag…
Beyond Refusal: A Same-Lineage Study of Aligned and Abliterated LLMs for Vulnerability An…
Complementary Roles of Image Classification and Vessel Segmentation in AI-Based Screening…
Data-dependent Evaluations for Budgeted Submodular Maximization
Unicode TAG-Block Concealment of Tool-Metadata Payloads in the Model Context Protocol: An…
The Balkanization of Execution-Security Research for AI Coding Agents: Isolation, Access …
IMR: Iterative Mode-World Weighted Regression for Multi-Agent Trajectory Prediction
Do It Right! A Methodology for Successful NLP System Development
EvalLoop: A Methodology for Evaluation-Driven Iterative Improvement of Business AI Systems
BaFCo: A Document Understanding Benchmark for Complex Bangla Form Comprehension
To Retain or to Adapt? Generalizing Continual Learning
ResonatorLM: Causal Resonant Field Mixing for Efficient Long-Context Language Modelin
Whose fairness? Structural concentration in AI bias research
Harnessing Generative Image Models for Training-Free Primitive Shape Abstraction
The yes-no bias of large language models reflects answer order and wording, not shifts in…
Most LLM Conformity Needs No Speaker: Measuring the Speaker-Free Floor in Peer-Pressure B…
Self-Review Reinforcement Learning (SRRL) with Cross-Episode Memory and Policy Distillati…
Rendering-Aware Bayesian 3D Gaussian Splatting with Native Uncertainty and Adaptive Compl…
aiAuthZ: Off-Host, Identity-Bound Authorization for AI Agents
Lean-Quantum: Toward AI-Assisted Formalization of Quantum Information
PatchOptic for Shared-State LLM Workflows with Projected Views and Verified Structured Up…
Privilege and confidentiality in generative AI workflows
Decision Protocols in Multi-Agent Large Language Model Conversations
Binocular Gaze Estimation with Single Camera and Single Light Source
KAT-Coder-V2.5 Technical Report
Breaking Structural Isolation: Scalable Graph Clustering via Community-Aware Sampling and…
Learning 4D Geometric Priors for Inference-Efficient World Action Models
Learnable Weighting of Intra-Attribute Distances for Categorical Data Clustering with Nom…
AdaStop: Cost-Aware Early Stopping for DNN Test Selection