Knowledge-Augmented Reasoning for EUAIA Compliance and Adversarial Robustness of LLMs — mentioned by TomasBM

Mon, 28 Oct 2024 04:21:10 GMT

I'm working on ways to allow developers and deployers of LLMs to express how and why their overall system is compliant and adversarially robust, and what to do when that's not the case. Specifically, my team and I are making assurance cases and ontologies that can seamlessly integrate with the system and its guardrails. For example, if you want to deploy some mix of filters underneath a user-facing LLM app, you would able to: 1) express the logic of how they should be deployed and why (e.g., if X=1, then Y, else Z); 2) see how they perform over time and evaluate alternatives; 3) investigate…

Paper and discussion history. A mention is not an endorsement.

Knowledge-Augmented Reasoning for EUAIA Compliance and Adversarial Robustness of LLMs · HackerPapers discussions

Knowledge-Augmented Reasoning for EUAIA Compliance and Adversarial Robustness of LLMs — mentioned by TomasBM