16 citations · 40 across the 12 of their papers we have counts for
12 papers
Multi-Modal Data Exploration via Language Agents
Farhad Nooralahzadeh, Yi Zhang, Jonathan Furst +1
International enterprises, organizations, and hospitals collect large amounts of multi-modal data stored in databases, text documents, images, and videos. While there has been rece…
SM3-Text-to-Query: Synthetic Multi-Model Medical Text-to-Query Benchmark
Sithursan Sivasubramaniam, Cedric Osei-Akoto, Yi Zhang +2
Electronic health records (EHRs) are stored in various database systems with different database models on heterogeneous storage architectures, such as relational databases, documen…
StatBot.Swiss: Bilingual Open Data Exploration in Natural Language
Farhad Nooralahzadeh, Yi Zhang, Ellery Smith +4
The potential for improvements brought by Large Language Models (LLMs) in Text-to-SQL systems is mostly assessed on monolingual English datasets. However, LLMs' performance for oth…
Evaluating the Data Model Robustness of Text-to-SQL Systems Based on Real User Queries
Jonathan Fürst, Catherine Kosten, Farhad Nooralahzadeh +2
Text-to-SQL systems (also known as NL-to-SQL systems) have become an increasingly popular solution for bridging the gap between user capabilities and SQL-based data access. These s…
Spider4SPARQL: A Complex Benchmark for Evaluating Knowledge Graph Question Answering Systems
Catherine Kosten, Philippe Cudré-Mauroux, Kurt Stockinger
With the recent spike in the number and availability of Large Language Models (LLMs), it has become increasingly important to provide large and realistic benchmarks for evaluating…
Is Your Learned Query Optimizer Behaving As You Expect? A Machine Learning Perspective
Claude Lehmann, Pavel Sulimov, Kurt Stockinger
The current boom of learned query optimizers (LQO) can be explained not only by the general continuous improvement of deep learning (DL) methods but also by the straightforward for…
Data-Driven Information Extraction and Enrichment of Molecular Profiling Data for Cancer Cell Lines
Ellery Smith, Rahel Paloots, Dimitris Giagkos +2
With the proliferation of research means and computational methodologies, published biomedical literature is growing exponentially in numbers and volume. Cancer cell lines are freq…
ScienceBenchmark: A Complex Real-World Benchmark for Evaluating Natural Language to SQL Systems
Yi Zhang, Jan Deriu, George Katsogiannis-Meimarakis +3
Natural Language to SQL systems (NL-to-SQL) have recently shown a significant increase in accuracy for natural language to SQL query translation. This improvement is due to the eme…
INODE: Building an End-to-End Data Exploration System in Practice [Extended Vision]
Sihem Amer-Yahia, Georgia Koutrika, Frederic Bastian +25
A full-fledged data exploration system must combine different access modalities with a powerful concept of guiding the user in the exploration process, by being reactive and antici…
Bio-SODA: Enabling Natural Language Question Answering over Knowledge Graphs without Training Data
Ana Claudia Sima, Tarcisio Mendes de Farias, Maria Anisimova +4
The problem of natural language processing over structured data has become a growing research field, both within the relational database and the Semantic Web community, with signif…
ValueNet: A Natural Language-to-SQL System that Learns from Database Information
Ursin Brunner, Kurt Stockinger
Building natural language (NL) interfaces for databases has been a long-standing challenge for several decades. The major advantage of these so-called NL-to-SQL systems is that end…
A Methodology for Creating Question Answering Corpora Using Inverse Data Annotation
Jan Deriu, Katsiaryna Mlynchyk, Philippe Schläpfer +6
In this paper, we introduce a novel methodology to efficiently construct a corpus for question answering over structured data. For this, we introduce an intermediate representation…