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cs.CL2025
HEFT: A Coarse-to-Fine Hierarchy for Enhancing the Efficiency and Accuracy of Language Model Reasoning
Brennen Hill
The adaptation of large language models (LLMs) to specialized reasoning tasks is fundamentally constrained by computational resources. Parameter-Efficient Fine-Tuning (PEFT) method…
cs.CL2025
Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs
Brennen Hill, Surendra Parla, Venkata Abhijeeth Balabhadruni +2
The proliferation of Large Language Models (LLMs) has introduced critical security challenges, where adversarial actors can manipulate input prompts to cause significant harm and c…