Papers by Linwei Wang

2 papers
Towards IP Intelligence: Benchmarking Large Language Models on Intellectual Property Knowledge and Practice (2026.findings-acl)

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Challenge: Existing datasets and benchmarks focus only on patents or cover limited aspects of the IP field, lacking alignment with real-world scenarios.
Approach: They propose a bilingual IP task taxonomy and a large-scale bilingual benchmark to evaluate LLMs in real-world IP practice.
Outcome: The proposed model achieves only 75.8% accuracy, indicating room for improvement . open-source IP and law-oriented models lag behind closed-source general-purpose models .
Self-Training Large Language and Vision Assistant for Medical Question Answering (2024.emnlp-main)

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Challenge: Existing methods for collecting medical data are expensive and time-consuming.
Approach: They propose a method to train a large-scale LVLM capable of auto-generating medical visual instruction data to improve data efficiency.
Outcome: The proposed method shows that it performs well across three major visual question answering (VQA) benchmarks.

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