RouteRepair: Instance-Level Failure Diagnosis and Targeted Repair in LLM-Based Automated Heuristic Design for Routing Optimization Routing optimization is a...
Enabling Knowledge Graph Understanding at Scale with the EXplore Your Graphs ENgine (EXYGEN) The EXYGEN framework is designed to make large-scale knowledge g...
Characterizing Job Power Elasticity for Power-Flexible AI Training Large language model (LLM) training is a major driver of electricity demand in modern data...
The Convention Gap: Towards Measuring Implicit Communication in Cooperative AI Evaluation Cooperative AI agents are often evaluated by how well they perform...
Artificial Id: Drive and Persistent Alignment in Agentic AI This paper explores a new way to manage agentic AI systems—AI that can perform tasks, maintain st...
Calibration-Aware Uncertainty Cascades for Efficient Heterogeneous Model Collaboration Modern AI systems often use a mix of small, fast models and large, pow...
Published Unlearning Numbers Move Per Checkpoint, and Not Because the Removed Data Survives: An Audit of 263 Released Batch-Normalized Checkpoints This paper...
LLMs as Post-hoc Auditors of Physiological Plausibility in Symbolic Regression: A Clinician-Evaluated Case Study This research explores whether Large Languag...
Making Alternative Data Work: Context-Augmented LLMs for Financial Forecasting This paper explores how to better use "alternative data"—non-traditional infor...
MAPLE: Memory-Augmented Planning with Language and Evolution introduces a new approach for AI agents to handle real-world optimization tasks that change over...
