Can llm already serve as a database interface? a big bench for large-scale database grounded text-to-sqls
Text-to-SQL parsing, which aims at converting natural language instructions into executable
SQLs, has gained increasing attention in recent years. In particular, GPT-4 and Claude-2 …
SQLs, has gained increasing attention in recent years. In particular, GPT-4 and Claude-2 …
Ehragent: Code empowers large language models for few-shot complex tabular reasoning on electronic health records
Clinicians often rely on data engineers to retrieve complex patient information from
electronic health record (EHR) systems, a process that is both inefficient and time …
electronic health record (EHR) systems, a process that is both inefficient and time …
Ehrxqa: A multi-modal question answering dataset for electronic health records with chest x-ray images
Abstract Electronic Health Records (EHRs), which contain patients' medical histories in
various multi-modal formats, often overlook the potential for joint reasoning across imaging …
various multi-modal formats, often overlook the potential for joint reasoning across imaging …
Ehragent: Code empowers large language models for complex tabular reasoning on electronic health records
Large language models (LLMs) have demonstrated exceptional capabilities in planning and
tool utilization as autonomous agents, but few have been developed for medical problem …
tool utilization as autonomous agents, but few have been developed for medical problem …
Trustsql: A reliability benchmark for text-to-sql models with diverse unanswerable questions
Recent advances in large language models (LLMs) have led to significant improvements in
translating natural language questions into SQL queries. While achieving high accuracy in …
translating natural language questions into SQL queries. While achieving high accuracy in …
Ecg-qa: A comprehensive question answering dataset combined with electrocardiogram
Question answering (QA) in the field of healthcare has received much attention due to
significant advancements in natural language processing. However, existing healthcare QA …
significant advancements in natural language processing. However, existing healthcare QA …
Overview of the ehrsql 2024 shared task on reliable text-to-sql modeling on electronic health records
Electronic Health Records (EHRs) are relational databases that store the entire medical
histories of patients within hospitals. They record numerous aspects of patients' medical …
histories of patients within hospitals. They record numerous aspects of patients' medical …
Trojansql: Sql injection against natural language interface to database
The technology of text-to-SQL has significantly enhanced the efficiency of accessing and
manipulating databases. However, limited research has been conducted to study its …
manipulating databases. However, limited research has been conducted to study its …
Multisql: A schema-integrated context-dependent text2sql dataset with diverse sql operations
Text2SQL is a task that translates natural language into SQL statements. Context-dependent
Text2SQL offers a more natural database interaction by simulating dialogues between users …
Text2SQL offers a more natural database interaction by simulating dialogues between users …
Benchmarking and improving text-to-sql generation under ambiguity
Research in Text-to-SQL conversion has been largely benchmarked against datasets where
each text query corresponds to one correct SQL. However, natural language queries over …
each text query corresponds to one correct SQL. However, natural language queries over …