Papers by Weiguo Chen

2 papers
EffiQA: Efficient Question-Answering with Strategic Multi-Model Collaboration on Knowledge Graphs (2025.coling-main)

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Challenge: Existing approaches that integrate LLMs and KGs either underutilize the reasoning abilities of LLM or suffer from prohibitive computational costs due to tight coupling.
Approach: They propose a framework that can strike a balance between performance and efficiency via an iterative paradigm.
Outcome: The proposed framework can strike a balance between performance and efficiency via an iterative paradigm.
Evaluating Small Language Models for News Summarization: Implications and Factors Influencing Performance (2025.naacl-long)

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Challenge: Large language models (LLMs) provide superior summarization quality, but their high computational resource requirements limit practical use applications.
Approach: They evaluate 19 small language models for news summarization across 2,000 news samples . they find that top-performing models achieve comparable results to those of 70B LLMs .
Outcome: The proposed models achieve comparable results to 70B LLMs while generating more concise summaries.

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