Zhiyong Wu

Affiliations:
  • Shanghai AI Laboratory
  • University of Hong Kong, Department of Computer Science, Hong Kong (former)


According to our database1, Zhiyong Wu authored at least 25 papers between 2018 and 2024.

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

Timeline

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Bibliography

2024
TDAG: A Multi-Agent Framework based on Dynamic Task Decomposition and Agent Generation.
CoRR, 2024

OS-Copilot: Towards Generalist Computer Agents with Self-Improvement.
CoRR, 2024

2023
Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration.
CoRR, 2023

In-Context Learning with Many Demonstration Examples.
CoRR, 2023

Compositional Exemplars for In-context Learning.
Proceedings of the International Conference on Machine Learning, 2023

DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Lexicon-injected Semantic Parsing for Task-Oriented Dialog.
Proceedings of the IEEE International Conference on Acoustics, 2023

DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

OpenICL: An Open-Source Framework for In-context Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

Explanation Regeneration via Information Bottleneck.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Unsupervised Explanation Generation via Correct Instantiations.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Self-adaptive In-context Learning.
CoRR, 2022

ZeroGen<sup>+</sup>: Self-Guided High-Quality Data Generation in Efficient Zero-Shot Learning.
CoRR, 2022

ZeroGen: Efficient Zero-shot Learning via Dataset Generation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Lexical Knowledge Internalization for Neural Dialog Generation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Cascaded Head-colliding Attention.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
NEXT: a neural network framework for next POI recommendation.
Frontiers Comput. Sci., 2020

PERQ: Predicting, Explaining, and Rectifying Failed Questions in KB-QA Systems.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

MULCE: Multi-level Canonicalization with Embeddings of Open Knowledge Bases.
Proceedings of the Web Information Systems Engineering - WISE 2020, 2020

Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2018
Towards Practical Open Knowledge Base Canonicalization.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018


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