Author

Nurassyl Askar

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#artificial intelligence Preprint Sep 2026

The Path Matters: Evaluating Small Language Models Beyond Answer Accuracy in KGQA

This work isolates SLM graph reasoning from navigation and traceability capability by employing the THESEUS navigation and traceability framework and using frozen, off-the-shelf SLMs as local action policies, and results motivate evaluating SLM graph reasoning beyond endpoint accuracy alone.

Eduin E. Hernandez, Sergio A. Diaz, Luis F. Garcia et al. · 0 citations

#machine learning Preprint Sep 2026

Theseus in the Graph: Towards Traceable Multi-Hop Graph Navigation

Multi-Hop Knowledge Graph Question Answering (KGQA) tasks require models to assemble relational evidence along paths in a KG to answer natural-language questions. However, existing KGQA systems typically focus on predicting the final answer without explicitly modeling or validating the intermediate reasoning steps, obs...

Eduin E. Hernandez, Luis F. Garcia, Nurassyl Askar et al. · 1 citation · ⚡1