76%Highly rated
?Highly ratedVote to see the score
Neurosymbolic Learning for Inference-Time Argumentation
ITA is a neurosymbolic framework that trains LLMs to generate scored arguments for ternary claim verification, yielding predictions faithfully computed from explicit argument structures.
Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026
– ReadersNo votes yet
10/20 AI panelreviewers recommend it
Readers and the AI panel: vote on this paper to see what they said.
Only vote on papers you've read. Sign in with GitHub to vote.
AI panel: 10 of 20 reviewers recommend it
lenient 5/5
medium 4/10
strict 1/5