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LLM Stinger: Jailbreaking LLMs Using RL Fine-Tuned LLMs (Student Abstract)

Proceedings of the AAAI Conference on Artificial Intelligence
We 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
openaire   +1 more source

Sustainable Llms

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.
openaire   +1 more source

R2GenGPT: Radiology Report Generation with frozen LLMs

Meta-Radiology, 2023
Zhanyu Wang, Lei Wang, Luping Zhou
exaly  

LLM-Profiler

A fine-grained LLM profiler that calculates the algorithmic operations (e.g. ADD, MULT), parameters, cache (buffers) and activations (intermediate output between the layers).
openaire   +1 more source

ECO-LLM: LLM-based Edge Cloud Optimization

Proceedings of the 2024 Workshop on AI For Systems
Kunal Rao   +5 more
openaire   +1 more source

LLM. Degree

Notes and Queries, 1874
openaire   +1 more source

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