Papers by Digvijay Ingle
Probing the Depths of Language Models’ Contact-Center Knowledge for Quality Assurance (2024.emnlp-industry)
Copied to clipboard
| Challenge: | Recent advances in large Language Models (LMs) have significantly enhanced their capabilities across various domains, including natural language understanding and domain knowledge. |
| Approach: | They propose methods to transfer domain-specific knowledge to smaller models by leveraging evaluation plans generated by more knowledgeable models with optional human-in-the-loop refinement to enhance the capabilities of smaller models. |
| Outcome: | The proposed models improve 18.95% on an in-house QA dataset on a contact-center quality assurance task. |