ChatGPT Based Data Augmentation for Improved Parameter-Efficient Debiasing of LLMs¶
Arxiv Link - 2024-02-19 01:28:48
Abstract¶
Large Language models (LLMs), while powerful, exhibit harmful social biases. Debiasing is often challenging due to computational costs, data constraints, and potential degradation of multi-task language capabilities. This work introduces a novel approach utilizing ChatGPT to generate synthetic training data, aiming to enhance the debiasing of LLMs. We propose two strategies: Targeted Prompting, which provides effective debiasing for known biases but necessitates prior specification of bias in question; and General Prompting, which, while slightly less effective, offers debiasing across various categories. We leverage resource-efficient LLM debiasing using adapter tuning and compare the effectiveness of our synthetic data to existing debiasing datasets. Our results reveal that: (1) ChatGPT can efficiently produce high-quality training data for debiasing other LLMs; (2) data produced via our approach surpasses existing datasets in debiasing performance while also preserving internal knowledge of a pre-trained LLM; and (3) synthetic data exhibits generalizability across categories, effectively mitigating various biases, including intersectional ones. These findings underscore the potential of synthetic data in advancing the fairness of LLMs with minimal retraining cost.
Socials¶
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| 🚀 Exciting advancements in the world of AI and debiasing LLMs! 🤖 This groundbreaking work introduces a novel approach using ChatGPT to generate synthetic training data, enhancing the debiasing of Large Language Models. Check out the full study here: http://arxiv.org/abs/2402.11764v1 Key findings include: 1️⃣ Efficient production of high-quality training data for debiasing LLMs using ChatGPT. 2️⃣ Surpassing existing datasets in debiasing performance while preserving internal LLM knowledge. 3️⃣ Generalizability across categories, effectively mitigating various biases, including intersectional ones. These results highlight the potential of synthetic data in promoting fairness in LLMs with minimal retraining costs. A must-read for all tech enthusiasts and AI professionals! 🌐💡 #AI #LLMs #Debiasing #ChatGPT #TechInnovation |
"Exciting research on using ChatGPT to enhance debiasing of Large Language Models (LLMs)! This innovative approach generates synthetic training data for efficient debiasing, surpassing existing datasets in performance. Learn more at: http://arxiv.org/abs/2402.11764v1 #AI #NLP #LLMs #Debiasing" |