Papers with CONSCENDI
CONSCENDI: A Contrastive and Scenario-Guided Distillation Approach to Guardrail Models for Virtual Assistants (2024.naacl-long)
Copied to clipboard
| Challenge: | A major challenge in deploying LLM-based virtual conversational assistants in real world settings is ensuring they operate within what is admissible for the task. |
| Approach: | They propose to use large language models (LLMs) to generate training data with two key LLM components: scenario-augmented generation and contrastive training examples. |
| Outcome: | The proposed model improves over baselines in multiple dialogue domains. |