CausalForge: A Formally Grounded, Self-Improving Agentic Framework for Automated Research…
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Opaque Epistemic Mediation: How LLM Deployment Configurations Shape the Validation of Pse…
SM4RT: Learning Structured Motion Geometry for 4D Reconstruction
Integrating Reasoning Systems for Trustworthy AI, Proceedings of the 4th Workshop on Logi…
From Mind to Machine: The Rise of Manus AI as a Fully Autonomous Digital Agent
Re-FORC: Adaptive Reward Prediction for Efficient Chain-of-Thought Reasoning
DeepFeature: LLM-Empowered Context-aware Feature Generation for Wearable Biosignals
Exploring Robust Multi-Agent Workflows for Environmental Data Management
Same World, Differently Given: History-Dependent Perceptual Reorganization in Artificial …
Benchmarking the Safety of Large Language Models for Robotic Health Attendant Control
Math Education Digital Shadows for Investigating Learning with GenAI: Mathematics Perform…
AuditRepairBench: A Paired-Execution Trace Corpus for Evaluator-Channel Ranking Instabili…
Decentralized Multi-Agent Swarms for Autonomous Grid Security in Industrial IoT: A Consen…
Carpe Diem: Critical Learning Period-Aware Contract-Based Incentives for Federated Learni…
When Ethics and Payoffs Diverge: LLM Agents in Morally Charged Social Dilemmas
Self-Guided Process Reward Optimization with Redefined Step-wise Advantage for Process Re…
A Robust Pipeline for Differentially Private Federated Learning on Imbalanced Clinical Da…
MedKGent: A Large Language Model Agent Framework for Constructing Temporally Evolving Med…
An Ontology-Based Approach to Optimizing Geometry Problem Sets for Skill Development
From Hugging Face to GitHub: Tracing License Drift in the Open-Source AI Ecosystem
A Comparative Benchmark of Federated Learning Strategies for Mortality Prediction on Hete…
InteractComp: Evaluating Search Agents With Ambiguous Queries
CrypTorch: PyTorch-based Auto-tuning Compiler for Machine Learning with Multi-party Compu…
Security Without Detection: Economic Denial as a Primitive for Edge and IoT Defense
From Frame-Level Recognition to Event-Level Confirmation: Repair Traces and Runtime Failu…
GPU-Accelerated ANNS: Quantized for Speed, Built for Change
Embodiment-Induced Coordination Regimes in Tabular Multi-Agent Q-Learning
Energy-based Tissue Manifolds for Longitudinal Multiparametric MRI Analysis
Simpson's Paradox in Behavioral Curves: How Aggregation Distorts Parametric Models of Use…
DriftXpress: Faster Drifting Models via Projected RKHS Fields