Papers by Ankush Gupta
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 . |
Development of an Enterprise-Grade Contract Understanding System (2021.naacl-industry)
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Arvind Agarwal, Laura Chiticariu, Poornima Chozhiyath Raman, Marina Danilevsky, Diman Ghazi, Ankush Gupta, Shanmukha Guttula, Yannis Katsis, Rajasekar Krishnamurthy, Yunyao Li, Shubham Mudgal, Vitobha Munigala, Nicholas Phan, Dhaval Sonawane, Sneha Srinivasan, Sudarshan R. Thitte, Mitesh Vasa, Ramiya Venkatachalam, Vinitha Yaski, Huaiyu Zhu
| Challenge: | Currently, legal contract review remains an expensive and arduous process. |
| Approach: | They describe a commercial system designed and deployed for contract understanding that enables legal professionals to review contracts. |
| Outcome: | The proposed system is used by a wide range of enterprise users and solves three major challenges. |
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. |