Papers by Tabinda Sarwar

1 papers
CLARITY: A Framework and Benchmark for Conversational Language Ambiguity and Unanswerability in Interactive NL2SQL Systems (2026.acl-industry)

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Challenge: Existing benchmarks assume a single source of ambiguity and rely on user interaction for resolution, overlooking realistic failure modes.
Approach: They propose a framework for automatically generating an NL2SQL benchmark with multi-faceted ambiguities and diverse user behaviors.
Outcome: The proposed framework transforms executable SQL into ambiguous queries with a conversational continuation and schema-level metadata.

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