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Hanhua Hong

3 accepted papers

2024

Leveraging Estimated Transferability Over Human Intuition for Model Selection in Text Ranking

EMNLP 2024main

Text ranking has witnessed significant advancements, attributed to the utilization of dual-encoder enhanced by Pre-trained Language Models (PLMs). Given the proliferation of available PLMs, selecting the most effective one for a given dataset has become a non-trivial challenge. As a promising altern…

2023

How to Determine the Most Powerful Pre-trained Language Model without Brute Force Fine-tuning? An Empirical Survey

EMNLP 2023long findings

Transferability estimation has been attached to great attention in the computer vision fields. Researchers try to estimate with low computational cost the performance of a model when transferred from a source task to a given target task. Considering the effectiveness of such estimations, the commun…

Cited by 0SourcecodeScholar
2023

Permutation Invariant Training for Paraphrase Identification

ICASSP 2023accepted

Identifying sentences sharing similar meanings is crucial to speech and text understandings. Although currently popular cross-encoder solutions with pre-trained language models as backbone have achieved remarkable performance, they suffer from the lack of the permutation invariance or symmetry that…

Cited by 0SourceScholar