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LLM Stinger: Jailbreaking LLMs Using RL Fine-Tuned LLMs (Student Abstract)
Proceedings of the AAAI Conference on Artificial IntelligenceWe introduce LLM Stinger, a novel approach that leverages Large Language Models (LLMs) to automatically generate adversarial suffixes for jailbreak attacks. Unlike traditional methods, which require complex prompt engineering or white-box access, LLM Stinger uses a reinforcement learning (RL) loop to fine-tune an attacker LLM, generating new suffixes ...
Piyush Jha, Arnav Arora, Vijay Ganesh
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ITNOW
Abstract Researchers from King's College London explore how machine learning professionals perceive and engage with environmental sustainability in their daily work. Martin Cooper MBCS reports.
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Abstract Researchers from King's College London explore how machine learning professionals perceive and engage with environmental sustainability in their daily work. Martin Cooper MBCS reports.
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What is the limitation of multimodal LLMs? A deeper look into multimodal LLMs through prompt probing
Information Processing and Management, 2023exaly
R2GenGPT: Radiology Report Generation with frozen LLMs
Meta-Radiology, 2023Zhanyu Wang, Lei Wang, Luping Zhou
exaly
A fine-grained LLM profiler that calculates the algorithmic operations (e.g. ADD, MULT), parameters, cache (buffers) and activations (intermediate output between the layers).
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ECO-LLM: LLM-based Edge Cloud Optimization
Proceedings of the 2024 Workshop on AI For SystemsKunal Rao +5 more
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