Papers by Dezhi Ye
QSpell 250K: A Large-Scale, Practical Dataset for Chinese Search Query Spell Correction (2025.naacl-industry)
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| Challenge: | Chinese Search Query Spell Correction is a task designed to identify and correct typographical errors within queries. |
| Approach: | They propose a large-scale benchmark specifically developed for Chinese Query Spell Correction. |
| Outcome: | The proposed benchmark covers a broad range of topics, including formal entities, everyday colloquialisms and idiomatic expressions. |
Best Practices for Distilling Large Language Models into BERT for Web Search Ranking (2025.coling-industry)
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| Challenge: | Recent studies have highlighted the potential of Large Language Models (LLMs) as zero-shot relevance rankers. |
| Approach: | They propose to use a ranking loss to transfer ranking knowledge from LLMs to smaller models like BERT. |
| Outcome: | The proposed model has been successfully integrated into a commercial web search engine as of February 2024. |