CausalDS: Benchmarking Causal Reasoning in Data-Science Agents
Explorar
Noticias de IA
37834 elementos — filtrados, clasificados y sin duplicados
Equivariant Quantum Clustering with Differential Privacy: Parameter-Efficient Privacy-Pre…
STAGformer: A Spatio-temporal Agent Graph Transformer for Micro Mobility Demand Forecasti…
PRoVeFL: Private Robust and Verifiable Aggregation in Federated Learning
Vision Language Action (VLA) Models for Unmanned Aerial Robotics and Bimanual Manipulatio…
AgentLens: Production-Assessed Trajectory Reviews for Coding Agent Evaluation
When Summaries Distort Decisions: Information Fidelity in LLM-Compressed Financial Analys…
QANTIS: Hardware-Calibrated Sequential POMDP Belief Updates on IBM Heron
Terminus-4B: Can a Smaller Model Replace Frontier LLMs at Agentic Execution Tasks?
Participatory provenance as representational auditing for AI-mediated public consultation
Anomaly detection in time-series via inductive biases in the latent space of conditional …
Power and Limitations of Aggregation in Compound AI Systems
An Adaptive Differentially Private Federated Learning Framework
Framing Instability in LLM Ethical Stance: Auditing Negation Sensitivity in Moral Dilemmas
LiveOIBench: Can Large Language Models Outperform Human Contestants in Informatics Olympi…
Neutral Substrates: A Design Constraint for Shared Records Under Persistent Interpretive …
When Does In-Context Search Help? A Sampling-Complexity Theory of Reflection-Driven Reaso…
Accurate, Interdisciplinary and Transparent Structure-property Understanding with Deep Na…
Co-LMLM: Continuous-Query Limited Memory Language Models
Breaking Database Lock-in: Agentic Regeneration of High Performance Storage Readers for D…
Agon: Competitive Cross-Model RL with Implicit Rival Grading of Reasoning
DiaLLM: An Investigation into the Robustness-Generation Gap in English Dialect Adaptation
QCNN with Rough Path Signature Kernels
Towards Agentic AI Governance: A Preliminary Assessment
Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning
Creativity from Friction: Human-AI Interaction for Exploratory Structural Design
Single-Rollout Asynchronous Optimization for Agentic Reinforcement Learning
Deep Reinforcement Learning for Reliability Based Bi-Objective Portfolio Optimization
TimEE: End-to-end Time Series Classification via In-Context Learning
Beyond Attack-Success Rate: Action-Graded Severity Scale for Tool-Using AI Agents