Papers by Xiaohong Su

2 papers
LI4: Label-Infused Iterative Information Interacting Based Fact Verification in Question-answering Dialogue (2024.lrec-main)

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Challenge: Existing studies on fact verification have failed to fully exploit question structures and ignoring relevant label information during the verification process.
Approach: They propose a new approach for question-answering dialogue based fact verification using label-infused iterative information interacting.
Outcome: The proposed approach achieves remarkable performance on HEALTHVER, FAVIQ, and COLLOQUIAL.
TrendFact: A Benchmark Towards Hotspot Perception in Automatic Fact-Checking (2026.acl-long)

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Challenge: Existing benchmarks lack social metadata and evaluation framework to meet this urgent evaluation needs.
Approach: They propose a benchmark capable of evaluating HPA and three fact-checking tasks.
Outcome: The proposed framework improves HPA and computational efficiency for RLM-driven systems.

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