Qiyu Wu
Affiliations:- University of Tokyo, School of Information Science and Technology, Japan
- Peking University, School of Computer Science, Beijing, China (former)
According to our database1,
Qiyu Wu
authored at least 16 papers
between 2020 and 2024.
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Bibliography
2024
Beyond Simple Sum of Delayed Rewards: Non-Markovian Reward Modeling for Reinforcement Learning.
CoRR, 2024
Generating, Reconstructing, and Representing Discrete and Continuous Data: Generalized Diffusion with Learnable Encoding-Decoding.
CoRR, 2024
Reinforcement Learning from Bagged Reward: A Transformer-based Approach for Instance-Level Reward Redistribution.
CoRR, 2024
Enhancing Cross-lingual Sentence Embedding for Low-resource Languages with Word Alignment.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Leveraging Multi-lingual Positive Instances in Contrastive Learning to Improve Sentence Embedding.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024
2023
Blocker and Matcher Can Mutually Benefit: A Co-Learning Framework for Low-Resource Entity Resolution.
Proc. VLDB Endow., November, 2023
Towards reporting bias in visual-language datasets: bimodal augmentation by decoupling object-attribute association.
CoRR, 2023
WSPAlign: Word Alignment Pre-training via Large-Scale Weakly Supervised Span Prediction.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
Stable Contrastive Learning for Self-Supervised Sentence Embeddings With Pseudo-Siamese Mutual Learning.
IEEE ACM Trans. Audio Speech Lang. Process., 2022
PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Proceedings of the Natural Language Processing and Chinese Computing, 2020