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Improved Algorithms for Nash Welfare in Linear Bandits

DGX agent

arXiv:2601.22969v2 Announce Type: replace Abstract: Nash regret has recently emerged as a principled fairness-aware performance metric for stochastic multi-armed bandits, motivated by the Nash Social

safetyarxiv-cs-lg

23 Jun 2026

Safety

Influencer Cartels

DGX agent

arXiv:2405.10231v3 Announce Type: replace-cross Abstract: Social media influencers account for a growing share of marketing worldwide. We demonstrate the existence of a novel form of market failure in

Search: “tools”

Improved Algorithms for Nash Welfare in Linear Bandits

Influencer Cartels

Kiwano: A Cutting-Edge Open-Source Toolkit for Speaker Verification

Lessons from the Field: A Case Study of Robotic Intervention in an Industrial Emergency

LIG: Layer-wise Integrated Gradients for Within-Layer Flow Analysis in Transformers

Line Drawings using LightBenders: Authoring and Illuminating

LLM-Guided Test-Time Discovery of Quantum-Chemical Approximation Algorithms

MedFedPure: A Medical Federated Framework with MAE-based Detection and Diffusion Purification for Inference-Time Attacks

Memory Contagion: Cross-Temporal Propagation of Evaluator Bias via Agent Memory

Minimax Quantile Lower Bounds for Interactive Statistical Decision Making with Privacy

Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection

Non-Euclidean SGD for Structured Optimization: Unified Analysis and Improved Rates

Objective-Behavior Alignment: Diagnostics for MORL Policy Selection

On-Manifold Variational Learning with Heat-Kernel Priors

Probe-and-Refine Tuning of Repository Guidance for Coding Agents

PsyBridge: A Hybrid Intelligent Framework for Multi-Dimensional Mental Health Assessment and Decision Support

Real5-OmniDocBench: A Full-Scale Physical Reconstruction Benchmark for Robust Document Parsing in the Wild

Reference-Free Assessment of Physical Consistency in World Model-based Video Generation

RoboLineage: Agent-Native Data Lifecycle Governance Across Robot Policy Iterations

SAGE: An Expert-Annotated South Asian GI Endoscopy Dataset for Multimodal Learning and Hallucination Analysis

ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments

Signed Evidence Flow: Conflict-Aware and Stability-Calibrated Data Analysis

Tell Me: An LLM-powered Mental Well-being Assistant with RAG, Synthetic Dialogue Generation, and Agentic Planning

The Optimal Token Baseline: Variance Reduction for Long-Horizon LLM-RL

Topological summaries of fingerprint ridge patterns carry identity information

Towards Robust Personalized Federated Learning: Vulnerability Assessment and Defense Co-Design

Urban Power Grid Topology and Hierarchy Identification from Open Data

Using predictive multiplicity to measure individual performance within the AI Act

VDAWorld: World Modelling via VLM-Directed Abstraction and Simulation

Video2Code: Generating Interactive Webpages from UI Videos via Action-Aware Revisit

VideoAgent: All-in-One Framework for Video Understanding and Editing

A Five-Plane Reference Architecture for Runtime Governance of Production AI Agents

A Lightweight Multi-Agent Framework for Automated Concrete Barrier Design

A prior-free blind detection of information leakage from model predictions

A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models

Adaptive Multi-Resolution Procedural Knowledge Compression for Large Language Models

An Ethical eValuation Agent (EeVA): Results of a Proof-of-Concept Test on a Prototype Agentic-like Workflow to Assist Ethical Deliberations

Automating Geometry-Intensive Compliance Checking in BIM: Graph-Based Semantic Reasoning Framework

Bridging the Modality Gap in Forensic Image Retrieval

Can AI Reason Like an Urban Planner? Benchmarking Large Language Models Against Professional Judgment

Contactless 3D Human Body Measurement Using Depth Cameras for Smart Health Monitoring

DeepRHP: A Hybrid Variational Autoencoder for Designing Random Heteropolymers as Protein Mimics

Echoes of the Prior: A Computational Phenomenology of Forgetting

End-to-End Machine Learning for Depressive State Classification via EEG and fNIRS

External Experience Serving in Production LLM Systems: A Deployment-Oriented Study of Quality-Cost Trade-offs

Fine-tuning Multi-modal LLMs with ART: Art-based Reinforcement Training

Fourier Features Let Agents Learn High Precision Policies with Imitation Learning

From Persistence to Survival: Hypothesis Testing, Effect Sizes and Vectorisation for Topological Features