Author

John Emeka Eze

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Book Open access Jul 2026

Bridging the Language Gap in Text-to-SQL: Adapting LLMs for Chichewa in a Low-Resource Setting

The adaptation of LLMs for Text-to-SQL generation in Chichewa, a low-resource Bantu language spoken by over 12 million people in Malawi and neighboring regions, is investigated and parameter-efficient fine-tuning (QLoRA) is applied to selected models and the combined effect of QLoRA fine-tuning with retrieval-augmented...

John Emeka Eze, Dunstan Matekenya, Evance Mathewe · Annual International ACM SIG... · 0 citations

#artificial intelligence Preprint Aug 2026

Policy-Invariant Reward Shaping from LLM Feedback: A Framework for Hybrid RL Agents

This work formalizes the hybrid LLM-planner and RL-controller architecture as a Goal-Augmented Markov Decision Process and shows that when the LLM per-state progress score is used as a bounded potential function, the resulting shaping term preserves the optimal policy set even when the LLM scores are inaccurate.

Christophe D. Hounwanou, John Emeka Eze, Yaé Ulrich Gaba · 1 citation

#artificial intelligence Preprint Aug 2026

Hybrid LLM-Augmented Reinforcement Learning Agents for Complex Sequential Decision Tasks

This paper introduces an LLM-Augmented Reinforcement Learning Agent that integrates LLM-driven planning with RL-based action optimization, and highlights a promising direction for building more capable autonomous systems.

Christophe D. Hounwanou, John Emeka Eze, Yaé Ulrich Gaba · 0 citations