Papers with EFP

2 papers
From Factuality to Meta-Factivity: A Cognitive Blueprint for Trustworthy LLMs (2026.acl-short)

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Challenge: Current evaluation paradigms on Event Factuality Prediction (EFP) focus on static classification tasks and shortcut learning and unreliable reasoning.
Approach: They propose a meta-factivity framework that moves evaluation beyond surface recognition to belief trajectory reasoning and epistemic regulation.
Outcome: The proposed framework shifts from event factuality to meta-factivity . the proposed framework lays the groundwork for a more rigorous benchmark for explainable self-governance .
Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures (P19-1)

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Challenge: Existing work on event factuality prediction (EFP) relies on syntactic and semantic information to identify important context words.
Approach: They propose a graph-based neural network that integrates syntactic and semantic information more effectively.
Outcome: The proposed model integrates syntactic and semantic information more effectively . it provides more meaningful information for downstream tasks than classification formulations .

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