2 papers
cs.AI2026
When Planning Problems Become Hard for LLMs: Separating Structural Complexity from Semantic Interpretability
Mayukh Debnath, Adeyinka Adedigba, Rammohan Mallipeddi
Large language models (LLMs) struggle with classical planning, but benchmarks rarely distinguish structural difficulty from the difficulty of interpreting symbolic vocabulary. We e…
cs.LG2025
Cluster Aggregated GAN (CAG): A Cluster-Based Hybrid Model for Appliance Pattern Generation
Zikun Guo, Adeyinka. P. Adedigba, Rammohan Mallipeddi
Synthetic appliance data are essential for developing non-intrusive load monitoring algorithms and enabling privacy preserving energy research, yet the scarcity of labeled datasets…