most citedOptimal Decision Making Through Scenario Simulations Using Large Language Models

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing cs.AIShow all

2 papers · 1 filter

cs.AI2026

Predictive Batch Scheduling: Accelerating Language Model Training Through Loss-Aware Sample Prioritization

Sumedh Rasal

We introduce Predictive Batch Scheduling (PBS), a novel training optimization technique that accelerates language model convergence by dynamically prioritizing high-loss samples du…

cs.AI2024★ 1 cited

Optimal Decision Making Through Scenario Simulations Using Large Language Models

Sumedh Rasal, E. J. Hauer

The rapid evolution of Large Language Models (LLMs) has markedly expanded their application across diverse domains, transforming how complex problems are approached and solved. Ini…