Papers with real-world Q

1 papers
Enhancing Reliability in Community Question Answering with an Expert-Oriented RAG System (2026.findings-eacl)

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Challenge: Existing LLMs require substantial computational resources and are prone to generating hallucinated or unreliable content.
Approach: They propose an expert-oriented Retrieval-Augmented Generation framework which leverages user modeling to identify archived questions with answers that fully or partially address the user’s new query.
Outcome: The proposed framework synthesizes expert-written answers from similar questions to generate unified answers.

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