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cs.LG2026
LLM Inference Under Bursty Workload Distribution: Modifying the WAIT Algorithm
Anjali Gangadhar Katageria, Shobha Rani, Raghu Nandan Sengupta
Large Language Models (LLMs) such as ChatGPT and Claude are widely used for information retrieval and problem-solving. Recent work has focused on improving scheduling algorithms to…
cs.LG2026
Deep Reinforcement Learning for Reliability Based Bi-Objective Portfolio Optimization
Sounaq Das, Tanmay Sen, Raghu Nandan Sengupta +1
Portfolio optimization under uncertainty is inherently a multi-objective decision problem involving complex interactions among return, risk, market dynamics, and practical investme…