Analysis of Prompt Engineering for Drug Toxicity Prediction

arXiv:2609.03635 · cs.AI · Submitted 2026-09-03 · Read on arXiv

cs.AI

Submitted: 2026-09-03

Updated: 2026-09-03

Comments: Accepted at the CIBB 2026 conference (https://cibb2026.teralab.ai/)

Code: https://github.com/Mia-MacGregor/CIBB-Analysis-of-Prompt-Engineeringfor-Drug-Toxicity-Prediction

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Prompt Engineering — 8× in this paper · explained in 4 episodes
• AUC — 5× in this paper · explained in 2 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Feature Engineering — 1× in this paper · explained in 3 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Simplified Molecular-Input Line-Entry System — 1× in this paper

Sources

• Gemma: Open Models Based on Gemini Research and Technology
• DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

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