Papers by Zhuochun Li
Think Globally, Group Locally: Evaluating LLMs Using Multi-Lingual Word Grouping Games (2025.emnlp-main)
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| Challenge: | Large language models exhibit biases in reasoning abilities due to linguistic modality, even with similar content. |
| Approach: | They propose a task inspired by the New York Times Connections: GlobalGroup that evaluates large language models in an abstract reasoning task across several languages. |
| Outcome: | The proposed task evaluates models across multiple languages in English, Spanish, Chinese, Hindi, and Arabic. |
Learning from Committee: Reasoning Distillation from a Mixture of Teachers with Peer-Review (2025.findings-acl)
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| Challenge: | Large language models (LLMs) have proven to be highly effective in addressing a wide range of complex tasks. |
| Approach: | They propose a method that asks teachers to identify and explain student’s mistakes and then asks them to provide customized instruction learning data. |
| Outcome: | The proposed method reduces the chance of teachers guessing incorrectly with flawed rationales, improving instructional data quality. |