Farhad Ghassemi — accepted AI-conference papers

2024

SPAGHETTI: Open-Domain Question Answering from Heterogeneous Data Sources with Retrieval and Semantic Parsing

Heidi Zhang, Sina Semnani, Farhad Ghassemi, Jialiang Xu, Shicheng Liu, Monica Lam

ACL 2024findings

We introduce SPAGHETTI: Semantic Parsing Augmented Generation for Hybrid English information from Text Tables and Infoboxes, a hybrid question-answering (QA) pipeline that utilizes information from heterogeneous knowledge sources, including knowledge base, text, tables, and infoboxes. Our LLM-augmen…

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2022

Robust Nonparametric Distribution Forecast with Backtest-Based Bootstrap and Adaptive Residual Selection

Longshaokan Wang, Lingda Wang, Mina Georgieva, Paulo Machado, Abinaya Ulagappa, Safwan Ahmed +3

ICASSP 2022accepted

Distribution forecast can quantify forecast uncertainty and provide various forecast scenarios with their corresponding estimated probabilities. Accurate distribution forecast is crucial for planning – for example when making production capacity or inventory allocation decisions. We propose a practi…

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