Xiaobao Wu

Orcid: 0000-0003-0076-3924

According to our database1, Xiaobao Wu authored at least 23 papers between 2019 and 2024.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2024
A survey on neural topic models: methods, applications, and challenges.
Artif. Intell. Rev., February, 2024

KDMCSE: Knowledge Distillation Multimodal Sentence Embeddings with Adaptive Angular margin Contrastive Learning.
CoRR, 2024

Updating Language Models with Unstructured Facts: Towards Practical Knowledge Editing.
CoRR, 2024

Topic Modeling as Multi-Objective Contrastive Optimization.
CoRR, 2024

On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling.
CoRR, 2023

Towards the TopMost: A Topic Modeling System Toolkit.
CoRR, 2023

Effective Neural Topic Modeling with Embedding Clustering Regularization.
CoRR, 2023

Effective Neural Topic Modeling with Embedding Clustering Regularization.
Proceedings of the International Conference on Machine Learning, 2023

DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Fact-Checking Complex Claims with Program-Guided Reasoning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Zero-Shot Text Classification via Self-Supervised Tuning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Predictions.
CoRR, 2022

Vision-and-Language Pretraining.
CoRR, 2022

Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Prediction.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Discovering Topics in Long-tailed Corpora with Causal Intervention.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Learning Multilingual Topics with Neural Variational Inference.
Proceedings of the Natural Language Processing and Chinese Computing, 2020

Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Short Text Topic Modeling with Flexible Word Patterns.
Proceedings of the International Joint Conference on Neural Networks, 2019


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