9 papers
Toward Multi-Database Query Reasoning for Text2Cypher
Makbule Gulcin Ozsoy
Large language models have significantly improved natural language interfaces to databases by translating user questions into executable queries. In particular, Text2Cypher focuses…
Extending Confidence-Based Text2Cypher with Grammar and Schema Aware Filtering
Makbule Gulcin Ozsoy
Large language models (LLMs) allow users to query databases using natural language by translating questions into executable queries. Despite strong progress on tasks such as Text2S…
Incremental Multilingual Text2Cypher with Adapter Combination
Makbule Gulcin Ozsoy
Large Language Models enable users to access database using natural language interfaces using tools like Text2SQL, Text2SPARQL, and Text2Cypher, which translate user questions into…
Text2Cypher Across Languages: Evaluating and Finetuning LLMs
Makbule Gulcin Ozsoy, William Tai
Recent advances in large language models (LLMs) have enabled natural language interfaces that translate user questions into database queries, such as Text2SQL, Text2SPARQL, and Tex…
Text2Cypher: Data Pruning using Hard Example Selection
Makbule Gulcin Ozsoy
Database query languages such as SQL for relational databases and Cypher for graph databases have been widely adopted. Recent advancements in large language models (LLMs) enable na…
Enhancing Text2Cypher with Schema Filtering
Makbule Gulcin Ozsoy
Knowledge graphs represent complex data using nodes, relationships, and properties. Cypher, a powerful query language for graph databases, enables efficient modeling and querying.…