Towards Researcher Agents for Knowledge-Graph Question Answering

arXiv:2608.07700 · cs.AI, cs.DB · Submitted 2026-08-07 · Read on arXiv

Tommaso Soru, Abdulsobur Oyewale

cs.AI, cs.DB

Submitted: 2026-08-07

Updated: 2026-08-11

Comments: Second International TEXT2SPARQL Challenge, co-located with Text2KG at ESWC 2026

Code: https://github.com/LiberAI/researcher-agents-for-kgqa

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 18× in this paper · explained in 1 episode
• Benchmark — 14× in this paper · explained in 2 episodes
• Knowledge Graph — 12× in this paper · explained in 8 episodes
• Grounding — 7× in this paper · explained in 3 episodes
• Knowledge graphs — 7× in this paper · explained in 2 episodes
• Ontology — 7× in this paper · explained in 2 episodes
• Decoder — 2× in this paper · explained in 2 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Generative AI — 2× in this paper · explained in 2 episodes
• Scaffolding — 2× in this paper · explained in 3 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Agentic System — 1× in this paper · explained in 2 episodes
• Basic Graph Pattern — 1× in this paper
• Composition — 1× in this paper · explained in 2 episodes
• Credit assignment — 1× in this paper · explained in 3 episodes
• Entity Grounding — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 14 episodes
• Generator — 1× in this paper · explained in 2 episodes
• Hallucination — 1× in this paper · explained in 4 episodes
• Structural Constraints — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Transformer Encoder — 1× in this paper · explained in 2 episodes

Sources

• Integrating Multi-Head Convolutional Encoders with Cross-Attention for Improved SPARQL Query Translation
• Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering

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