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Wang Yuanlong

2 accepted papers

2025

Memorization ≠ Understanding: Do Large Language Models Have the Ability of Scenario Cognition?

EMNLP 2025

Driven by vast and diverse textual data, large language models (LLMs) have demonstrated impressive performance across numerous natural language processing (NLP) tasks. Yet, a critical question persists: does their generalization arise from mere memorization of training data or from deep semantic und

Cited by 0SourcePDFScholar
2023

Improving Sequential Model Editing with Fact Retrieval

EMNLP 2023long findings

The task of sequential model editing is to fix erroneous knowledge in Pre-trained Language Models (PLMs) efficiently, precisely and continuously. Although existing methods can deal with a small number of modifications, these methods experience a performance decline or require additional annotated…

Cited by 0SourcecodeScholar