Papers by Saadat Hasan Khan

1 papers
DF-RAG: Query-Aware Diversity for Retrieval-Augmented Generation (2026.findings-eacl)

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Challenge: Retrieval-augmented generation (RAG) is a common technique for grounding language models in domain-specific information.
Approach: They propose a new retrieval technique that incorporates diversity into the retrieval step to improve performance on reasoning-intensive QA benchmarks.
Outcome: The proposed method outperforms baselines on reasoning-intensive QA benchmarks by 4–10%.

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