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Challenge Description The TEXT2SPARQL‘25 challenge is a benchmark designed to assess and enhance the ability of systems to translate natural language questions into SPARQL queries …
To address this gap, we propose a curated dataset with 2,771 unique queries for fine-tuning LLMs to generate accurate and syntactically valid SPARQL queries from natural language instructions. …
Aug 3, 2025 · In addition, even state-of-the-art models struggle to generate semantically correct SPARQL queries, particularly on unseen graphs (Meyer et al. 2024). SPARQL is a standardized …
May 28, 2024 · 46.06 in August 2023 and Smaug-72B6 holding the record in February 2024 with a score of 80.48, only half a year later. These test suites however cover mostly natural language …
This paper provides, to the best of our knowledge, the first multi-model Text-to-Query dataset and benchmark that allows for the evaluation of Text-to-Query systems across three core database …
LLMs have been applied to many tasks, including question and answering over Knowledge Graphs (KGs) and text-to-SPARQL, that is, the translation of Natural Language questions to SPARQL …
Sep 28, 2023 · 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 …
Large Language Models (LLMs) have demon- strated strong capabilities in code generation, such as translating natural language questions into SQL queries. However, state-of-the-art solutions …
Abstract Large Language Models (LLMs) have demon-strated strong capabilities in code generation, such as translating natural language questions into SQL queries. However, state-of …
Currently, large language models (LLMs) are the state of the art for pre-trained language models. LLMs have been applied to many tasks, including question and answering over Knowledge …
4 days ago · In this study, we extensively evaluate In-Context Learning (ICL) solutions for text-to-SPARQL generation with different architectures and configurations, based on methods for …
Apr 4, 2025 · The TEXT2SPARQL Challenge is a competitive and collaborative benchmark designed to push the boundaries of natural language processing (NLP) and Semantic Web technologies, …
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