Papers by David Carmel

3 papers
Answering Product-Questions by Utilizing Questions from Other Contextually Similar Products (2021.naacl-main)

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Challenge: Existing approaches to predict product-related questions fail for new or unpopular products . product-specific question answering is a popular service provided by many e-commerce websites .
Approach: They propose a framework for predicting the answer to product-related questions based on the answers of similar products.
Outcome: The proposed model outperforms baselines on some segments of product-related questions.
Multi Document Summarization Evaluation in the Presence of Damaging Content (2023.findings-emnlp)

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Challenge: Existing metrics evaluate a summary based on relevance and consistency with the source documents.
Approach: They propose to measure the ability of MDS systems to handle damaging documents in their input set by lexical similarity and language model likelihood.
Outcome: The proposed metrics show that they can summarize a set of documents without damaging content.
Generating Q&A Benchmarks for RAG Evaluation in Enterprise Settings (2025.acl-industry)

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Challenge: DataMorgana generates synthetic Q&A benchmarks tailored to RAG applications . lexical, syntactic, and semantic diversity of generated benchmarks exceeds existing tools .
Approach: They propose a tool for generating synthetic Q&A benchmarks tailored to RAG applications in enterprise settings.
Outcome: The proposed tool surpasses existing tools in terms of lexical, syntactic, and semantic diversity while maintaining high quality.

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