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cs.CL2024
LoRA Soups: Merging LoRAs for Practical Skill Composition Tasks
Akshara Prabhakar, Yuanzhi Li, Karthik Narasimhan +3
Low-Rank Adaptation (LoRA) is a popular technique for parameter-efficient fine-tuning of Large Language Models (LLMs). We study how different LoRA modules can be merged to achieve…
cs.CL2024
Towards Implicit Bias Detection and Mitigation in Multi-Agent LLM Interactions
Angana Borah, Rada Mihalcea
As Large Language Models (LLMs) continue to evolve, they are increasingly being employed in numerous studies to simulate societies and execute diverse social tasks. However, LLMs a…
cs.CL2024
ShieldGemma: Generative AI Content Moderation Based on Gemma
Wenjun Zeng, Yuchi Liu, Ryan Mullins +9
We present ShieldGemma, a comprehensive suite of LLM-based safety content moderation models built upon Gemma2. These models provide robust, state-of-the-art predictions of safety r…