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Yueze Li

2 accepted papers

2024

Do Large Language Models have Problem-Solving Capability under Incomplete Information Scenarios?

ACL 2024findings

The evaluation of the problem-solving capability under incomplete information scenarios of Large Language Models (LLMs) is increasingly important, encompassing capabilities such as questioning, knowledge search, error detection, and path planning. Current research mainly focus on LLMs’ problem-solvi…

2024

EmotionQueen: A Benchmark for Evaluating Empathy of Large Language Models

ACL 2024findings

Emotional intelligence in large language models (LLMs) is of great importance in Natural Language Processing. However, the previous research mainly focus on basic sentiment analysis tasks, such as emotion recognition, which is not enough to evaluate LLMs’ overall emotional intelligence. Therefore, t…

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