Papers by Royi Ronen

2 papers
An End-to-End Dialogue Summarization System for Sales Calls (2022.naacl-industry)

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Challenge: Summarizing sales calls is a routine task performed manually by salespeople.
Approach: They propose a production system which combines generative models fine-tuned for customer-agent setting, with a human-in-the-loop user experience for an interactive summary curation process.
Outcome: The proposed system can handle training data scarcity and privacy constraints in an industrial setting.
InterrogateLLM: Zero-Resource Hallucination Detection in LLM-Generated Answers (2024.acl-long)

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Challenge: Existing methods for detecting hallucinations in large language models are limited due to their high frequency and high accuracy.
Approach: They propose a method to detect hallucinations in large language models by repeating model-generated responses from its generated answer.
Outcome: The proposed method achieves 87% hallucinations in a specific experiment without external knowledge.

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