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Xi Wang

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#artificial intelligence Preprint Sep 2026

Evaluating and Improving Evidence-Grounded Fact-Checking in LLMs via Multi-Round Evidence Ablation

Automatic fact-checking systems assess the veracity of claims given evidence from relevant documents. Large Language Models (LLMs) have demonstrated strong performance in fact-checking due to their general reasoning capabilities. However, it remains unclear whether they faithfully make use of the evidence provided to r...

Xing-Yu Deng, Mingzi Cao, Nikolaos Aletras et al. · 0 citations
Book Open access Jul 2026

Beyond Top-e: Simulation-Based Interactive Evaluation for Query Suggestions

This work develops and validate an LLM-based selection model, systematically analysing how varying levels of intent information and selection strategies affect its ability to approximate human selection behaviour, and develops and validate an LLM-based selector that is used to benchmark multiple query suggestion system...

J. Gabín, Javier Parapar, Xi Wang · 0 citations

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