Wanrong Zhu
Orcid: 0009-0005-3448-0078
According to our database1,
Wanrong Zhu
authored at least 32 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
Automatic Layout Planning for Visually-Rich Documents with Instruction-Following Models.
CoRR, 2024
High Confidence Level Inference is Almost Free using Parallel Stochastic Optimization.
CoRR, 2024
VELMA: Verbalization Embodiment of LLM Agents for Vision and Language Navigation in Street View.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
GPT-4V in Wonderland: Large Multimodal Models for Zero-Shot Smartphone GUI Navigation.
CoRR, 2023
VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use.
CoRR, 2023
OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models.
CoRR, 2023
CoRR, 2023
Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Learning.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
VisIT-Bench: A Dynamic Benchmark for Evaluating Instruction-Following Vision-and-Language Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Collaborative Generative AI: Integrating GPT-k for Efficient Editing in Text-to-Image Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023
ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023
2022
Beyond Sub-Gaussian Noises: Sharp Concentration Analysis for Stochastic Gradient Descent.
J. Mach. Learn. Res., 2022
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
2021
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
2020
A Fully Online Approach for Covariance Matrices Estimation of Stochastic Gradient Descent Solutions.
CoRR, 2020
Towards Understanding Sample Variance in Visually Grounded Language Generation: Evaluations and Observations.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
2018
CoRR, 2018