AGEL-Comp is a neuro-symbolic framework that builds an explicit causal world model and uses a deduction-abduction cycle to improve compositional generalization in interactive agents over pure LLM baselines.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) pp
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AGEL-Comp: A Neuro-Symbolic Framework for Compositional Generalization in Interactive Agents
AGEL-Comp is a neuro-symbolic framework that builds an explicit causal world model and uses a deduction-abduction cycle to improve compositional generalization in interactive agents over pure LLM baselines.