Yu Cao

Affiliations:
  • University of Sydney, School of Computer Science, UBTECH Sydney AI Center, FEIT, Australia


According to our database1, Yu Cao authored at least 17 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2025
Code-switching finetuning: Bridging multilingual pretrained language models for enhanced cross-lingual performance.
Eng. Appl. Artif. Intell., 2025

Enhancing Lexicon-Based Text Embeddings with Large Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Meta-Task Prompting Elicits Embedding from Large Language Models.
CoRR, 2024

Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Corpus-Steered Query Expansion with Large Language Models.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Meta-Task Prompting Elicits Embeddings from Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Bridging Cross-Lingual Gaps During Leveraging the Multilingual Sequence-to-Sequence Pretraining for Text Generation.
CoRR, 2022

Phrase-level Textual Adversarial Attack with Label Preservation.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

A Model-agnostic Data Manipulation Method for Persona-based Dialogue Generation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
DAGN: Discourse-Aware Graph Network for Logical Reasoning.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Towards Efficiently Diversifying Dialogue Generation Via Embedding Augmentation.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Pretrained Language Models for Dialogue Generation with Multiple Input Sources.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Unsupervised Domain Adaptation on Reading Comprehension.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019


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