Sep 11, 2026
MAPLE: Memory-Augmented Planning with Language and Evolution
MAPLE: Memory-Augmented Planning with Language and Evolution introduces a new approach for AI agents to handle real-world optimization tasks that change over...
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AI Research Papers
Understand new AI research with readable explanations and links to the original papers.
Sep 11, 2026
Making Alternative Data Work: Context-Augmented LLMs for Financial Forecasting
Making Alternative Data Work: Context-Augmented LLMs for Financial Forecasting This paper explores how to better use "alternative data"—non-traditional infor...
Sep 11, 2026
LLMs as Post-hoc Auditors of Physiological Plausibility in Symbolic Regression: A Clinician-Evaluated Case Study
LLMs as Post-hoc Auditors of Physiological Plausibility in Symbolic Regression: A Clinician-Evaluated Case Study This research explores whether Large Languag...
Sep 11, 2026
Published Unlearning Numbers Move Per Checkpoint, and Not Because the Removed Data Survives: An Audit of 263 Released Batch-Normalized Checkpoints
Published Unlearning Numbers Move Per Checkpoint, and Not Because the Removed Data Survives: An Audit of 263 Released Batch-Normalized Checkpoints This paper...
Sep 11, 2026
Calibration-Aware Uncertainty Cascades for Efficient Heterogeneous Model Collaboration
Calibration-Aware Uncertainty Cascades for Efficient Heterogeneous Model Collaboration Modern AI systems often use a mix of small, fast models and large, pow...
Sep 11, 2026
Artificial Id: Drive and Persistent Alignment in Agentic AI
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...
Sep 11, 2026
The Convention Gap: Towards Measuring Implicit Communication in Cooperative AI Evaluation
The Convention Gap: Towards Measuring Implicit Communication in Cooperative AI Evaluation Cooperative AI agents are often evaluated by how well they perform...
Sep 11, 2026
Characterizing Job Power Elasticity for Power-Flexible AI Training
Characterizing Job Power Elasticity for Power-Flexible AI Training Large language model (LLM) training is a major driver of electricity demand in modern data...
Sep 11, 2026
Enabling Knowledge Graph Understanding at Scale with the EXplore Your Graphs ENgine (EXYGEN)
Enabling Knowledge Graph Understanding at Scale with the EXplore Your Graphs ENgine (EXYGEN) The EXYGEN framework is designed to make large-scale knowledge g...
Sep 11, 2026
RouteRepair: Instance-Level Failure Diagnosis and Targeted Repair in LLM-Based Automated Heuristic Design for Routing Optimization
RouteRepair: Instance-Level Failure Diagnosis and Targeted Repair in LLM-Based Automated Heuristic Design for Routing Optimization Routing optimization is a...
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