Papers by Shivangi Bithel

2 papers
BI-Bench : A Comprehensive Benchmark Dataset and Unsupervised Evaluation for BI Systems (2025.acl-industry)

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Challenge: Existing benchmarks focus on isolated components rather than addressing the broader needs of BI users.
Approach: They propose a holistic, end-to-end benchmarking framework that categorizes queries into descriptive, diagnostic, predictive, and prescriptive types, aligning with practical BI needs.
Outcome: The proposed framework assesses BI systems on quality, relevance, depth of insights based on queries categorized into descriptive, diagnostic, predictive, and prescriptive types .
Goal-Driven Data Story, Narrations and Explanations (2025.naacl-industry)

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Challenge: Unlike existing tools, our system addresses the ambiguity of vague, multi-line queries, setting a new benchmark in data storytelling by tackling complexities no existing system comprehensively handles.
Approach: They propose a system that processes and interprets vague, open-ended, and multi-line complex queries, transforming them into coherent, actionable data stories.
Outcome: The proposed system processes and interprets vague, open-ended, and multi-line complex queries, transforming them into coherent, actionable data stories.

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