4 papers
Hybrid LLM-based Intelligent Framework for Robot Task Scheduling
Swayamjit Saha, Subhabrata Das, Haonan Duan +1
This study introduces intelligent frameworks that use Large Language Models (LLMs) to improve task scheduling for construction robots. The LLM is fed with key data about the desire…
Beyond Accuracy: Evaluating Forecasting Models by Multi-Echelon Inventory Cost
Swata Marik, Swayamjit Saha, Garga Chatterjee
This study develops a digitalized forecasting-inventory optimization pipeline integrating traditional forecasting models, machine learning regressors, and deep sequence models with…
Can Transformer Memory Be Corrupted? Investigating Cache-Side Vulnerabilities in Large Language Models
Elias Hossain, Swayamjit Saha, Somshubhra Roy +1
Even when prompts and parameters are secured, transformer language models remain vulnerable because their key-value (KV) cache during inference constitutes an overlooked attack sur…
Knowledge-Aware Self-Correction in Language Models via Structured Memory Graphs
Swayamjit Saha
Large Language Models (LLMs) are powerful yet prone to generating factual errors, commonly referred to as hallucinations. We present a lightweight, interpretable framework for know…