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UXBench: Benchmarking User Experience in AI Assistants
Mengze Hong, Xia Zeng, Zeyang Lei +26
As AI assistants serve millions of users daily, evaluating user experience (UX) beyond general model capability has become increasingly important. We present UXBench, the first use…
MAPLE: Micro Analysis of Pairwise Language Evolution for Few-Shot Claim Verification
Xia Zeng, Arkaitz Zubiaga
Claim verification is an essential step in the automated fact-checking pipeline which assesses the veracity of a claim against a piece of evidence. In this work, we explore the pot…
Aggregating Pairwise Semantic Differences for Few-Shot Claim Veracity Classification
Xia Zeng, Arkaitz Zubiaga
As part of an automated fact-checking pipeline, the claim veracity classification task consists in determining if a claim is supported by an associated piece of evidence. The compl…
Automated Fact-Checking: A Survey
Xia Zeng, Amani S. Abumansour, Arkaitz Zubiaga
As online false information continues to grow, automated fact-checking has gained an increasing amount of attention in recent years. Researchers in the field of Natural Language Pr…
QMUL-SDS at SCIVER: Step-by-Step Binary Classification for Scientific Claim Verification
Xia Zeng, Arkaitz Zubiaga
Scientific claim verification is a unique challenge that is attracting increasing interest. The SCIVER shared task offers a benchmark scenario to test and compare claim verificatio…