Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models.

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Keming Lu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones?

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Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models.

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Proceedings of the Computer Vision - ECCV 2024, 2024

Synthesizing Text-to-SQL Data from Weak and Strong LLMs.

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Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Self-Evolved Diverse Data Sampling for Efficient Instruction Tuning.

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CoRR, 2023

Qwen Technical Report.

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CoRR, 2023

TouchStone: Evaluating Vision-Language Models by Language Models.

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CoRR, 2023

Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities.

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CoRR, 2023

ExpertPrompting: Instructing Large Language Models to be Distinguished Experts.

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CoRR, 2023

ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities.

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CoRR, 2023

Prompt Tuning for Unified Multimodal Pretrained Models.

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Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Transferring General Multimodal Pretrained Models to Text Recognition.

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Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

OFASys: A Multi-Modal Multi-Task Learning System for Building Generalist Models.

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CoRR, 2022

Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese.

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CoRR, 2022

Prompt Tuning for Generative Multimodal Pretrained Models.

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CoRR, 2022

Instance-wise Prompt Tuning for Pretrained Language Models.

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CoRR, 2022

Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework.

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CoRR, 2022

BaGuaLu: targeting brain scale pretrained models with over 37 million cores.

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Proceedings of the PPoPP '22: 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Seoul, Republic of Korea, April 2, 2022

OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework.

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Proceedings of the International Conference on Machine Learning, 2022

Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably).

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Proceedings of the International Conference on Machine Learning, 2022

2021

M6-10T: A Sharing-Delinking Paradigm for Efficient Multi-Trillion Parameter Pretraining.

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CoRR, 2021

Exploring Sparse Expert Models and Beyond.

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CoRR, 2021

M6: A Chinese Multimodal Pretrainer.

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CoRR, 2021

CogView: Mastering Text-to-Image Generation via Transformers.

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Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

M6: Multi-Modality-to-Multi-Modality Multitask Mega-transformer for Unified Pretraining.

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Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

KNAS: Green Neural Architecture Search.

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Proceedings of the 38th International Conference on Machine Learning, 2021

Connecting Language and Vision for Natural Language-Based Vehicle Retrieval.

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Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation.

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Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Learning Relation Alignment for Calibrated Cross-modal Retrieval.

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Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Graph-based Multi-hop Reasoning for Long Text Generation.

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CoRR, 2020

InterBERT: Vision-and-Language Interaction for Multi-modal Pretraining.

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CoRR, 2020

A Gesture Air-Writing Tracking Method that Uses 24 GHz SIMO Radar SoC.

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IEEE Access, 2020

2019

Explicit Sparse Transformer: Concentrated Attention Through Explicit Selection.

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CoRR, 2019

Understanding and Improving Layer Normalization.

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Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Towards Knowledge-Based Personalized Product Description Generation in E-commerce.

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Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Specificity-Driven Cascading Approach for Unsupervised Sentiment Modification.

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Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Towards Knowledge-Based Recommender Dialog System.

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Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Deep Reinforced Sequence-to-Set Model for Multi-Label Classification.

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Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Imitation Learning for Non-Autoregressive Neural Machine Translation.

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Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

A Deep Reinforced Sequence-to-Set Model for Multi-Label Text Classification.

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CoRR, 2018

Future-Prediction-Based Model for Neural Machine Translation.

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[DOI]

Bingzhen Wei

Junyang Lin

CoRR, 2018

Decoding-History-Based Adaptive Control of Attention for Neural Machine Translation.

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CoRR, 2018

DP-GAN: Diversity-Promoting Generative Adversarial Network for Generating Informative and Diversified Text.

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CoRR, 2018

A Hierarchical End-to-End Model for Jointly Improving Text Summarization and Sentiment Classification.

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Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

3D Articulated Model Retrieval Using Depth Image Input.

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Proceedings of the Computer Vision, Imaging and Computer Graphics Theory and Applications, 2018

Retrieving 3D Objects with Articulated Limbs by Depth Image Input.

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Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018

Diversity-Promoting GAN: A Cross-Entropy Based Generative Adversarial Network for Diversified Text Generation.

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Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue Generation.

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Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Semantic-Unit-Based Dilated Convolution for Multi-Label Text Classification.

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Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Learning When to Concentrate or Divert Attention: Self-Adaptive Attention Temperature for Neural Machine Translation.

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Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Deconvolution-Based Global Decoding for Neural Machine Translation.

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Proceedings of the 27th International Conference on Computational Linguistics, 2018

Bag-of-Words as Target for Neural Machine Translation.

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Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text Summarization.

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Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Global Encoding for Abstractive Summarization.

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Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Junyang Lin

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