Papers by Mohamed Yahya

3 papers
Structured Dialogue Refinement: Building Retrieval-Augmented Question Answering on Goal-Oriented Dialogues (2026.findings-acl)

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Challenge: Retrieval-Augmented Generation (RAG) is widely used for knowledgeintensive question answering (QA), but a large amount of real-world problem-solving knowledge is captured in goal-oriented dialogues.
Approach: They propose a framework that adapts dialogue corpora for RAG at both retrieval and generation stages without altering the underlying pipeline.
Outcome: The proposed framework improves retrieval quality and QA performance under dialogue-specific structural challenges.
ComQA: A Community-sourced Dataset for Complex Factoid Question Answering with Paraphrase Clusters (N19-1)

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Challenge: ComQA dataset captures question phenomena and the diverse ways in which they are formulated.
Approach: They propose a large dataset of real user questions that captures question phenomena and the diverse ways in which they are formulated.
Outcome: The proposed dataset can be a driver of future research on factoid question answering (QA).

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