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Nianqi Li

3 accepted papers

2025

MultiLingPoT: Boosting Mathematical Reasoning in LLMs through Multilingual Program Integration

EMNLP 2025

Program-of-Thought, which aims to use program instead of natural language in reasoning, is an important way for LLMs to solve mathematical problems. Since different programming languages excel in different areas, it is natural to use the most suitable language for solving specific problems. However,

Cited by 0SourcePDFScholar
2025

Past Meets Present: Creating Historical Analogy with Large Language Models

ACL 2025long

Historical analogies, which compare known past events with contemporary but unfamiliar events, are important abilities that help people make decisions and understand the world. However, research in applied history suggests that people have difficulty finding appropriate analogies. And previous studi…

2024

CR-LLM: A Dataset and Optimization for Concept Reasoning of Large Language Models

ACL 2024findings

Concept reasoning is an important capability for models to understand the world. However, the existing datasets, such as concept extraction and concept generation, suffer from modeledge leakage and context leakage. To address these limitations, we construct a dataset of concept reasoning for large l…