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Wangyue Li

2 accepted papers

2025

Lifelong Knowledge Editing for Vision Language Models with Low-Rank Mixture-of-Experts

CVPR 2025poster

Model editing aims to correct inaccurate knowledge, update outdated information, and incorporate new data into Large Language Models (LLMs) without the need for retraining. This task poses challenges in lifelong scenarios where edits must be continuously applied for real-world applications. While so…

Cited by 0SourcePDFScholar
2024

Can Multiple-choice Questions Really Be Useful in Detecting the Abilities of LLMs?

COLING 2024main

Multiple-choice questions (MCQs) are widely used in the evaluation of large language models (LLMs) due to their simplicity and efficiency. However, there are concerns about whether MCQs can truly measure LLM’s capabilities, particularly in knowledge-intensive scenarios where long-form generation (LF…