Papers by Haixun Wang
GrocLM: Grocery Category Recommendation in E-Commerce with Large Language Models (2026.acl-industry)
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| Challenge: | a growing number of online grocery shoppers are using category-level recommendation systems . traditional item-level methods face scalability and accuracy challenges . |
| Approach: | a new language model is developed to encode cyclical purchasing patterns into model parameters . the model is scalable and more business-aligned than traditional item-level methods . |
| Outcome: | a new language model outperforms standard methods in a live production environment . the proposed model achieves a 7.5% relative improvement in cart-adds per impression . |
Ultra-Fine Entity Typing with Weak Supervision from a Masked Language Model (2021.acl-long)
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| Challenge: | Existing methods for fine-grained entity typing use weak labels that are automatically generated. |
| Approach: | They propose to obtain training data by using a BERT Masked Language Model (MLM) given a mention in a sentence, they construct an input for the MLM so it predicts context dependent hypernyms of the mention, which can be used as type labels. |
| Outcome: | The proposed model improves performance by using type labels generated from a BERT Masked Language Model given a mention in a sentence. |