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cs.LG2025
Demystifying LLM-as-a-Judge: Analytically Tractable Model for Inference-Time Scaling
Indranil Halder, Cengiz Pehlevan
Recent developments in large language models have shown advantages in reallocating a notable share of computational resource from training time to inference time. However, the prin…
cs.LG2025
Error Broadcast and Decorrelation as a Potential Artificial and Natural Learning Mechanism
Mete Erdogan, Cengiz Pehlevan, Alper T. Erdogan
We introduce Error Broadcast and Decorrelation (EBD), a novel learning framework for neural networks that addresses credit assignment by directly broadcasting output errors to indi…