Papers by Pengfan Du

2 papers
ZhuJiu: A Multi-dimensional, Multi-faceted Chinese Benchmark for Large Language Models (2023.emnlp-demo)

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Challenge: Various types of LLMs have recently been rapidly developing, such as Llama2 and ChatGLM2 .
Approach: They propose a benchmark that comprehensively evaluates LLMs across 7 ability dimensions covering 51 tasks.
Outcome: The proposed benchmarks are comprehensive and systematic, with a high level of accuracy and authority.
ZhuJiu-Knowledge: A Fairer Platform for Evaluating Multiple Knowledge Types in Large Language Models (2024.naacl-demo)

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Challenge: evaluating the knowledge of large language models (LLMs) is crucial, and rapid advancement in large language modeling has heightened the importance of model evaluations.
Approach: They propose a fairer benchmark for evaluating multiple knowledge types of LLMs by focusing on commonsense knowledge, world knowledge, and language knowledge.
Outcome: The proposed framework evaluates 14 current mainstream LLMs and provides a detailed discussion and analysis of their results.

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