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Yulong Wu

2 accepted papers

2025

Natural Context Drift Undermines the Natural Language Understanding of Large Language Models

EMNLP 2025

How does the natural evolution of context paragraphs affect Question Answering (QA) in generative Large Language Models (LLMs)? To address this, we propose a framework for curating naturally evolved, human-edited variants of reading passages from contemporary QA benchmarks and for analysing LLM perf

2025

SR-LLM: Rethinking the Structured Representation in Large Language Model

ACL 2025long

Structured representations, exemplified by Abstract Meaning Representation (AMR), have long been pivotal in computational linguistics. However, their role remains ambiguous in the Large Language Models (LLMs) era. Initial attempts to integrate structured representation into LLMs via a zero-shot sett…

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