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Found 4 papers, 4 papers with code
Designing a Dashboard for Transparency and Control of Conversational AI
The dashboard can also be used to control the user model and the system's behavior.
Defending Against Unforeseen Failure Modes with Latent Adversarial Training
In this work, we utilize latent adversarial training (LAT) to defend against vulnerabilities without leveraging knowledge of what they are or using inputs that elicit them.
The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning
To measure these risks of malicious use, government institutions and major AI labs are developing evaluations for hazardous capabilities in LLMs.
Inference-Time Intervention: Eliciting Truthful Answers from a Language Model
This intervention significantly improves the performance of LLaMA models on the TruthfulQA benchmark.
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