Yichi Zhang
Orcid: 0000-0003-3214-1070Affiliations:
- University of Michigan, Ann Arbor, MI, USA
- Tsinghua University, Beijing, China (former)
According to our database1,
Yichi Zhang
authored at least 15 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Grounding Visual Illusions in Language: Do Vision-Language Models Perceive Illusions Like Humans?
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
2021
Tiered Reasoning for Intuitive Physics: Toward Verifiable Commonsense Language Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
Hierarchical Task Learning from Language Instructions with Unified Transformers and Self-Monitoring.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
2020
A Probabilistic End-To-End Task-Oriented Dialog Model with Latent Belief States towards Semi-Supervised Learning.
CoRR, 2020
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
A Probabilistic End-To-End Task-Oriented Dialog Model with Latent Belief States towards Semi-Supervised Learning.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Task-Oriented Dialog Systems That Consider Multiple Appropriate Responses under the Same Context.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2018
Learning Sparse Structured Ensembles with stochastic Gradient MCMC Sampling and Network Pruning.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018