Zi-Yi Dou

According to our database1, Zi-Yi Dou authored at least 43 papers between 2017 and 2024.

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Bibliography

2024
MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models.
CoRR, 2024

Unlocking Exocentric Video-Language Data for Egocentric Video Representation Learning.
CoRR, 2024

Reflection-Reinforced Self-Training for Language Agents.
CoRR, 2024

Matryoshka Query Transformer for Large Vision-Language Models.
CoRR, 2024

Uncertainty Calibration for Tool-Using Language Agents.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Re-ReST: Reflection-Reinforced Self-Training for Language Agents.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Medical Vision-Language Pre-Training for Brain Abnormalities.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

VALOR-EVAL: Holistic Coverage and Faithfulness Evaluation of Large Vision-Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Gender Biases in Automatic Evaluation Metrics: A Case Study on Image Captioning.
CoRR, 2023

DesCo: Learning Object Recognition with Rich Language Descriptions.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ACQUIRED: A Dataset for Answering Counterfactual Questions In Real-Life Videos.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Gender Biases in Automatic Evaluation Metrics for Image Captioning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Masked Path Modeling for Vision-and-Language Navigation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Generalized Decoding for Pixel, Image, and Language.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

FOAM: A Follower-aware Speaker Model For Vision-and-Language Navigation.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

An Empirical Study of Training End-to-End Vision-and-Language Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Zero-Shot Commonsense Question Answering with Cloze Translation and Consistency Optimization.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
RefSum: Refactoring Neural Summarization.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

GSum: A General Framework for Guided Neural Abstractive Summarization.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Improving Pre-trained Vision-and-Language Embeddings for Phrase Grounding.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Word Alignment by Fine-tuning Embeddings on Parallel Corpora.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Harnessing Social Media to Identify Homeless Youth At-Risk of Substance Use.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Exploiting deep representations for natural language processing.
Neurocomputing, 2020

CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems.
CoRR, 2020

Dynamic Data Selection and Weighting for Iterative Back-Translation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

TICO-19: the Translation Initiative for COvid-19.
Proceedings of the 1st Workshop on NLP for COVID-19@ EMNLP 2020, Online, December 2020, 2020

A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with Bilingual Semantic Similarity Rewards.
Proceedings of the Fourth Workshop on Neural Generation and Translation, 2020

2019
compare-mt: A Tool for Holistic Comparison of Language Generation Systems.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Information Aggregation for Multi-Head Attention with Routing-by-Agreement.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Domain Differential Adaptation for Neural Machine Translation.
Proceedings of the 3rd Workshop on Neural Generation and Translation@EMNLP-IJCNLP 2019, 2019

Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Dynamic Oracle for Neural Machine Translation in Decoding Phase.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Unsupervised Bilingual Lexicon Induction via Latent Variable Models.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Exploiting Deep Representations for Neural Machine Translation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

SkipNet: Learning Dynamic Routing in Convolutional Networks.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
SkipNet: Learning Dynamic Routing in Convolutional Networks.
CoRR, 2017

Metric Learning-based Generative Adversarial Network.
CoRR, 2017

Compressing Neural Networks by Applying Frequent Item-Set Mining.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Capturing User and Product Information for Document Level Sentiment Analysis with Deep Memory Network.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017


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