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Quang Hieu Pham

2 accepted papers

2025

ClozeMath: Improving Mathematical Reasoning in Language Models by Learning to Fill Equations

ACL 2025finding

The capabilities of large language models (LLMs) have been enhanced by training on data that reflects human thought processes, such as the Chain-of-Thought format. However, evidence suggests that the conventional scheme of next-word prediction may not fully capture how humans learn to think. Inspire…

Cited by 0SourcePDFScholar
2024

Who’s Who: Large Language Models Meet Knowledge Conflicts in Practice

EMNLP 2024finding

Retrieval-augmented generation (RAG) methods are viable solutions for addressing the static memory limits of pre-trained language models. Nevertheless, encountering conflicting sources of information within the retrieval context is an inevitable practical challenge. In such situations, the language…