activity
19982023
most citedEfficient Retrieval of Similar Time Sequences Using DFT

126 citations · 236 across the 15 of their papers we have counts for

collaborators

15 papers

cs.CL2023

Performance Prediction for Multi-hop Questions

Mohammadreza Samadi, Davood Rafiei

We study the problem of Query Performance Prediction (QPP) for open-domain multi-hop Question Answering (QA), where the task is to estimate the difficulty of evaluating a multi-hop…

cs.CL2023★ 5 cited

Evaluating Open-Domain Question Answering in the Era of Large Language Models

Ehsan Kamalloo, Nouha Dziri, Charles L. A. Clarke +1

Lexical matching remains the de facto evaluation method for open-domain question answering (QA). Unfortunately, lexical matching fails completely when a plausible candidate answer…

cs.CL2023★ 61 cited

DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction

Mohammadreza Pourreza, Davood Rafiei

There is currently a significant gap between the performance of fine-tuned models and prompting approaches using Large Language Models (LLMs) on the challenging task of text-to-SQL…

cs.DB2023★ 1 cited

DTT: An Example-Driven Tabular Transformer for Joinability by Leveraging Large Language Models

Arash Dargahi Nobari, Davood Rafiei

Many organizations rely on data from government and third-party sources, and those sources rarely follow the same data formatting. This introduces challenges in integrating data fr…

cs.CL2023

On the Role of Reviewer Expertise in Temporal Review Helpfulness Prediction

Mir Tafseer Nayeem, Davood Rafiei

Helpful reviews have been essential for the success of e-commerce services, as they help customers make quick purchase decisions and benefit the merchants in their sales. While man…

cs.DB2022

Tracking Where Events Take Place: Reverse Spatial Term Queries on Streaming Data

Sara Farazi, Davood Rafiei

A large volume of content generated by online users is geo-tagged and this provides a rich source for querying in various location-based services. An important class of queries wit…