ITA is a neurosymbolic framework that optimizes LLM argument generation and scoring via argumentation semantics to yield faithful ternary claim verifications on two datasets.
Eval- uating uncertainty quantification methods in argumentative large language models
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Neurosymbolic Learning for Inference-Time Argumentation
ITA is a neurosymbolic framework that optimizes LLM argument generation and scoring via argumentation semantics to yield faithful ternary claim verifications on two datasets.