ITA trains LLMs to generate and score arguments for ternary claim verification and uses argumentation semantics to derive faithful true/false/uncertain predictions from those structures.
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Neurosymbolic Learning for Inference-Time Argumentation
ITA trains LLMs to generate and score arguments for ternary claim verification and uses argumentation semantics to derive faithful true/false/uncertain predictions from those structures.