3 citations · 4 across the 5 of their papers we have counts for
5 papers
X-Guard: Multilingual Guard Agent for Content Moderation
Bibek Upadhayay, Vahid Behzadan, Ph. D
Large Language Models (LLMs) have rapidly become integral to numerous applications in critical domains where reliability is paramount. Despite significant advances in safety framew…
ShieldGemma 2: Robust and Tractable Image Content Moderation
Wenjun Zeng, Dana Kurniawan, Ryan Mullins +14
We introduce ShieldGemma 2, a 4B parameter image content moderation model built on Gemma 3. This model provides robust safety risk predictions across the following key harm categor…
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…
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…
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…