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cs.CL2025★ 1 cited
Enhancing LLM Robustness to Perturbed Instructions: An Empirical Study
Aryan Agrawal, Lisa Alazraki, Shahin Honarvar +1
Large Language Models (LLMs) are highly vulnerable to input perturbations, as even a small prompt change may result in a substantially different output. Existing methods to enhance…
cs.CL2024★ 4 cited
Illuminate: A novel approach for depression detection with explainable analysis and proactive therapy using prompt engineering
Aryan Agrawal
This paper introduces a novel paradigm for depression detection and treatment using advanced Large Language Models (LLMs): Generative Pre-trained Transformer 4 (GPT-4), Llama 2 cha…