content.raw: 🔥 🔥 Releasing our new paper on AI safety alignment -- Safety Arithmetic: A Framework for Test-time Safety Alignment of Language Models by Steering Parameters and Activations 🎯 with Sayan Layek, Somnath Banerjee and Soujanya Poria.
content.type: text
content.value: 🔥 🔥 Releasing our new paper on AI safety alignment -- Safety Arithmetic: A Framework for Test-time Safety Alignment of Language Models by Steering Parameters and Activations 🎯 with Sayan Layek, Somnath Banerjee and Soujanya Poria.
content.type: new_line
content.type: new_line
content.raw: 👉 We propose Safety Arithmetic, a training-free framework enhancing LLM safety across different scenarios: Base models, Supervised fine-tuned models (SFT), and Edited models. Safety Arithmetic involves Harm Direction Removal  (HDR) to avoid harmful content and Safety Alignment to promote safe responses.
content.type: text
content.value: 👉 We propose Safety Arithmetic, a training-free framework enhancing LLM safety across different scenarios: Base models, Supervised fine-tuned models (SFT), and Edited models. Safety Arithmetic involves Harm Direction Removal  (HDR) to avoid harmful content and Safety Alignment to promote safe responses.
content.type: new_line
content.type: new_line
content.raw: 👉 Paper: 
content.type: text
content.value: 👉 Paper: 
content.href: https://arxiv.org/abs/2406.11801v1
content.raw: https://arxiv.org/abs/2406.11801v1
content.type: link
content.type: new_line
content.raw: 👉 Code: 
content.type: text
content.value: 👉 Code: 
content.href: https://github.com/declare-lab/safety-arithmetic
content.raw: https://github.com/declare-lab/safety-arithmetic
content.type: link
content.type: new_line
rawContent: 🔥 🔥 Releasing our new paper on AI safety alignment -- Safety Arithmetic: A Framework for Test-time Safety Alignment of Language Models by Steering Parameters and Activations 🎯 with Sayan Layek, Somnath Banerjee and Soujanya Poria.
  
  👉 We propose Safety Arithmetic, a training-free framework enhancing LLM safety across different scenarios: Base models, Supervised fine-tuned models (SFT), and Edited models. Safety Arithmetic involves Harm Direction Removal  (HDR) to avoid harmful content and Safety Alignment to promote safe responses.
  
  👉 Paper: https://arxiv.org/abs/2406.11801v1
  👉 Code: https://github.com/declare-lab/safety-arithmetic
  
reactions.reaction: 🔥
reactions.users: leowin