4 papers
The Necessity of Setting Temperature in LLM-as-a-Judge
Lujun Li, Lama Sleem, Yangjie Xu +4
Using large language models (LLMs) as judges for evaluating model outputs has emerged as an important paradigm for automated evaluation. However, the choice of decoding temperature…
NegBLEURT Forest: Leveraging Inconsistencies for Detecting Jailbreak Attacks
Lama Sleem, Jerome Francois, Lujun Li +3
Jailbreak attacks designed to bypass safety mechanisms pose a serious threat by prompting LLMs to generate harmful or inappropriate content, despite alignment with ethical guidelin…
To Squelch or not to Squelch: Enabling Improved Message Dissemination on the XRP Ledger
Lucian Trestioreanu, Flaviene Scheidt, Wazen Shbair +3
With the large increase in the adoption of blockchain technologies, their underlying peer-to-peer networks must also scale with the demand. In this context, previous works highligh…
HalluGuard: Evidence-Grounded Small Reasoning Models to Mitigate Hallucinations in Retrieval-Augmented Generation
Loris Bergeron, Ioana Buhnila, Jérôme François +1
Large Language Models (LLMs) excel in many NLP tasks but remain prone to hallucinations, limiting trust in real-world applications. We present HalluGuard, a 4B-parameter Small Reas…