activity
20232026
most citedPopSim: An Individual-level Population Simulator for Equitable Allocation of City Resources

3 citations · 3 across the 7 of their papers we have counts for

collaborators

11 papers

cs.AI2026

GraphMind: From Operational Traces to Self-Evolving Workflow Automation

Yiwen Zhu, Joyce Cahoon, Anna Pavlenko +13

Complex operational workflows coordinating personnel, tools, and information are central to system operations, yet end-to-end automation remains challenging due to extensive human…

cs.AI2026

Blue Data Intelligence Layer: Streaming Data and Agents for Multi-source Multi-modal Data-Centric Applications

Moin Aminnaseri, Farima Fatahi Bayat, Nikita Bhutani +17

NL2SQL systems aim to address the growing need for natural language interaction with data. However, real-world information rarely maps to a single SQL query because (1) users expre…

cs.DB2026

From Textual Columns to Query Plans: A Unified Relational-Semantic Execution Framework for Hybrid Query Processing

Nima Shahbazi, Seiji Maekawa, Nikita Bhutani +1

Real-world table question answering often involves hybrid schemas in which some query-relevant information is explicit in relational columns, while other attributes, predicates, or…

cs.DB2026

Weighted Set Multi-Cover on Bounded Universe and Applications in Package Recommendation

Nima Shahbazi, Aryan Esmailpour, Stavros Sintos

The weighted set multi-cover problem is a fundamental generalization of set cover that arises in data-driven applications where one must select a small, low-cost subset from a larg…

cs.DS2025

Fair-Count-Min: Frequency Estimation under Equal Group-wise Approximation Factor

Nima Shahbazi, Stavros Sintos, Abolfazl Asudeh

Frequency estimation in streaming data often relies on sketches like Count-Min (CM) to provide approximate answers with sublinear space. However, CM sketches introduce additive err…

cs.CL2024

REQUAL-LM: Reliability and Equity through Aggregation in Large Language Models

Sana Ebrahimi, Nima Shahbazi, Abolfazl Asudeh

The extensive scope of large language models (LLMs) across various domains underscores the critical importance of responsibility in their application, beyond natural language proce…