2024
Revisiting Query Variation Robustness of Transformer Models
EMNLP 2024finding
The most commonly used transformers for retrieval at present, BERT and T5, have been shown not to be robust to query variations such as typos or paraphrases. Although this is an important prerequisite for their practicality, this problem has hardly been investigated. More recent large language model…