Papers by Xiaoxu Zhu

2 papers
Incorporating Factuality Inference to Identify Document-level Event Factuality (2023.findings-acl)

Copied to clipboard

Challenge: Document-level Event Factuality Identification (DEFI) is a task for identifying the degree of certainty that a specific event occurs in a document.
Approach: They propose a document-level event factuality inference task to bridge the sentence-level and document- level event factualality semantically.
Outcome: The proposed model outperforms the baselines on the public English and Chinese DLEF datasets.
Trucidator: Document-level Event Factuality Identification via Hallucination Enhancement and Cross-Document Inference (2025.coling-main)

Copied to clipboard

Challenge: Document-level event factuality identification (DEFI) assesses the veracity degree to which an event mentioned in a document has happened.
Approach: They propose a document-level event factuality identification framework with hallucination features . they propose factualusion corpus that integrates both genuine and hallucinous false information .
Outcome: The proposed framework outperforms baselines in document event factuality identification.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations