Papers by Yulu Xie

2 papers
Unveiling the Deficiencies of Pre-trained Text-and-Layout Models in Real-world Visually-rich Document Information Extraction (2026.findings-eacl)

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Challenge: PTLMs have shown remarkable success in multiple information extraction tasks . however, their performance in real-world scenarios falls short of expectations .
Approach: They propose to use an entity-centric dataset to evaluate PTLMs' performance . they find that inadequate annotations in benchmark datasets lead to spurious correlations .
Outcome: The proposed dataset disentangles the falsely-coupled segment and entity annotations that arises from the block-level annotation of FUNSD.
EngiBench: A Benchmark for Evaluating Large Language Models on Engineering Problem Solving (2026.findings-acl)

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Challenge: Existing benchmarks focus on well-defined or abstract reasoning and fail to capture real-world engineering problems.
Approach: They propose a hierarchical benchmark to evaluate large language models on engineering problems.
Outcome: The proposed model performs well under well-defined conditions and is based on three levels of difficulty and covers diverse engineering subfields.

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