Papers by Haining Xie

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.
UCFE: A User-Centric Financial Expertise Benchmark for Large Language Models (2025.findings-naacl)

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Challenge: Recent advances in large language models (LLMs) have expanded their potential applications in finance.
Approach: They propose a framework to evaluate the ability of large language models to handle financial tasks using human expert evaluations and task-specific interactions.
Outcome: The proposed framework evaluates the ability of large language models to handle complex financial tasks and combines human expert evaluations with dynamic, task-specific interactions to simulate the complexities of evolving financial scenarios.

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