Papers by Haijin Liang

3 papers
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.
Type-enriched Hierarchical Contrastive Strategy for Fine-Grained Entity Typing (2022.coling-1)

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Challenge: Experimental results show that fine-grained entity typing (FET) can be used to deduce specific semantic types of entities.
Approach: They propose a type-enriched hierarchical contrastive strategy to model type differences . their method can make type information directly perceptible and improve distinguishability .
Outcome: The proposed method can model the differences between hierarchical types and distinguish multi-grained similar types at different granularities.
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.

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