Q136222467
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Q136222467
Summary
Q136222467 is a conference paper[1].
Key Facts
- Q136222467 authored Paolo Torroni[2].
- Q136222467 authored Andrea Zugarini[3].
- Q136222467's instance of is recorded as conference paper[4].
- Q136222467's page is recorded as 66-80[5].
- Q136222467's language of work or name is recorded as English[6].
- Q136222467 was published on +2025-01-01T00:00:00Z[7].
- Q136222467 was released on +2025-05-00T00:00:00Z[8].
- Q136222467's official website is recorded as https://aclanthology.org/2025.knowledgenlp-1.5/[9].
- Q136222467's main subject is large language model[10].
- Q136222467's main subject is query generation[11].
- Q136222467's main subject is natural language to SPARQL conversion[12].
- Q136222467's work available at URL is recorded as https://aclanthology.org/2025.knowledgenlp-1.5.pdf[13].
- Q136222467's number of pages is recorded as {'unit': '1', 'amount': '+15'}[14].
- Q136222467's published in is recorded as Q136309141[15].
- Q136222467's title is recorded as Investigating Large Language Models for Text-to-SPARQL Generation[16].
- Q136222467's author name string is recorded as Jacopo D’Abramo[17].
- Q136222467's cites work is recorded as Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering[18].
- Q136222467's cites work is recorded as Modern Baselines for SPARQL Semantic Parsing[19].
- Q136222467's cites work is recorded as Freebase: a collaboratively created graph database for structuring human knowledge[20].
- Q136222467's cites work is recorded as Language Models are Few-Shot Learners[21].
- Q136222467's cites work is recorded as Q136309234[22].
- Q136222467's cites work is recorded as Evaluating Large Language Models Trained on Code[23].
- Q136222467's cites work is recorded as Q136358412[24].
- Q136222467's cites work is recorded as Binding Language Models in Symbolic Languages[25].
- Q136222467's cites work is recorded as Enhancing Complex Question Answering over Knowledge Graphs through Evidence Pattern Retrieval[26].
Body
Definition and Type
Q136222467's instance of is recorded as conference paper[4].