Quzhe Huang

According to our database, Quzhe Huang authored at least 30 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Pyramidal Flow Matching for Efficient Video Generative Modeling.

Yang Jin, Zhicheng Sun, Ningyuan Li, Kun Xu, Hao Jiang, Nan Zhuang, Quzhe Huang, Yang Song, Yadong Mu, Zhouchen Lin

CoRR, 2024

Only One Relation Possible? Modeling the Ambiguity in Event Temporal Relation Extraction.

Yutong Hu, Quzhe Huang, Yansong Feng

CoRR, 2024

Unlocking the Potential of Model Merging for Low-Resource Languages.

Mingxu Tao, Chen Zhang, Quzhe Huang, Tianyao Ma, Songfang Huang, Dongyan Zhao, Yansong Feng

CoRR, 2024

What Kinds of Tokens Benefit from Distant Text? An Analysis on Long Context Language Modeling.

Yutong Hu, Quzhe Huang, Kangcheng Luo, Yansong Feng

CoRR, 2024

Harder Tasks Need More Experts: Dynamic Routing in MoE Models.

Quzhe Huang, Zhenwei An, Nan Zhuang, Mingxu Tao, Chen Zhang, Yang Jin, Kun Xu, Liwei Chen, Songfang Huang, Yansong Feng

CoRR, 2024

Probing Multimodal Large Language Models for Global and Local Semantic Representation.

Mingxu Tao, Quzhe Huang, Kun Xu, Liwei Chen, Yansong Feng, Dongyan Zhao

CoRR, 2024

Only One Relation Possible? Modeling the Ambiguity in Temporal Relation Extraction.

Yutong Hu, Quzhe Huang, Yansong Feng

Proceedings of the Natural Language Processing and Chinese Computing, 2024

Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization.

Yang Jin, Zhicheng Sun, Kun Xu, Kun Xu, Liwei Chen, Hao Jiang, Quzhe Huang, Chengru Song, Yuliang Liu, Di Zhang, Yang Song, Kun Gai, Yadong Mu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization.

Yang Jin, Kun Xu, Kun Xu, Liwei Chen, Chao Liao, Jianchao Tan, Quzhe Huang, Bin Chen, Chengru Song, Dai Meng, Di Zhang, Wenwu Ou, Kun Gai, Yadong Mu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Can LLMs Learn a New Language on the Fly? A Case Study on Zhuang.

Chen Zhang, Mingxu Tao, Quzhe Huang, Zhibin Chen, Yansong Feng

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Can Perplexity Reflect Large Language Model's Ability in Long Text Understanding?

Yutong Hu, Quzhe Huang, Mingxu Tao, Chen Zhang, Yansong Feng

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Unlocking the Potential of Model Merging for Low-Resource Languages.

Mingxu Tao, Chen Zhang, Quzhe Huang, Tianyao Ma, Songfang Huang, Dongyan Zhao, Yansong Feng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Probing Multimodal Large Language Models for Global and Local Semantic Representations.

Mingxu Tao, Quzhe Huang, Kun Xu, Liwei Chen, Yansong Feng, Dongyan Zhao

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

MC²: Towards Transparent and Culturally-Aware NLP for Minority Languages in China.

Chen Zhang, Mingxu Tao, Quzhe Huang, Jiuheng Lin, Zhibin Chen, Yansong Feng

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

Harder Task Needs More Experts: Dynamic Routing in MoE Models.

Quzhe Huang, Zhenwei An, Nan Zhuang, Mingxu Tao, Chen Zhang, Yang Jin, Kun Xu, Liwei Chen, Songfang Huang, Yansong Feng

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

2023

MC^2: A Multilingual Corpus of Minority Languages in China.

Chen Zhang, Mingxu Tao, Quzhe Huang, Jiuheng Lin, Zhibin Chen, Yansong Feng

CoRR, 2023

Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization.

Yang Jin, Kun Xu, Liwei Chen, Chao Liao, Jianchao Tan, Quzhe Huang, Bin Chen, Chenyi Lei, An Liu, Chengru Song, Xiaoqiang Lei, Di Zhang, Wenwu Ou, Kun Gai, Yadong Mu

CoRR, 2023

Lawyer LLaMA Technical Report.

Quzhe Huang, Mingxu Tao, Zhenwei An, Chen Zhang, Cong Jiang, Zhibin Chen, Zirui Wu, Yansong Feng

CoRR, 2023

From Simple to Complex: A Progressive Framework for Document-level Informative Argument Extraction.

Quzhe Huang, Yanxi Zhang, Dongyan Zhao

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

Relation-Aware Question Answering for Heterogeneous Knowledge Graphs.

Haowei Du, Quzhe Huang, Chen Li, Chen Zhang, Yang Li, Dongyan Zhao

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

Length-Adaptive Distillation: Customizing Small Language Model for Dynamic Token Pruning.

Chang Liu, Chongyang Tao, Jianxin Liang, Jiazhan Feng, Tao Shen, Quzhe Huang, Dongyan Zhao

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

More than Classification: A Unified Framework for Event Temporal Relation Extraction.

Quzhe Huang, Yutong Hu, Shengqi Zhu, Yansong Feng, Chang Liu, Dongyan Zhao

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Knowledge-Enhanced Iterative Instruction Generation and Reasoning for Knowledge Base Question Answering.

Haowei Du, Quzhe Huang, Chen Zhang, Dongyan Zhao

Proceedings of the Natural Language Processing and Chinese Computing, 2022

Rethinking Task-Specific Knowledge Distillation: Contextualized Corpus as Better Textbook.

Chang Liu, Chongyang Tao, Jianxin Liang, Tao Shen, Jiazhan Feng, Quzhe Huang, Dongyan Zhao

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Do Charge Prediction Models Learn Legal Theory?

Zhenwei An, Quzhe Huang, Cong Jiang, Yansong Feng, Dongyan Zhao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Does Recommend-Revise Produce Reliable Annotations? An Analysis on Missing Instances in DocRED.

Quzhe Huang, Shibo Hao, Yuan Ye, Shengqi Zhu, Yansong Feng, Dongyan Zhao

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Why Machine Reading Comprehension Models Learn Shortcuts?

Yuxuan Lai, Chen Zhang, Yansong Feng, Quzhe Huang, Dongyan Zhao

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

Three Sentences Are All You Need: Local Path Enhanced Document Relation Extraction.

Quzhe Huang, Shengqi Zhu, Yansong Feng, Yuan Ye, Yuxuan Lai, Dongyan Zhao

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

Exploring Distantly-Labeled Rationales in Neural Network Models.

Quzhe Huang, Shengqi Zhu, Yansong Feng, Dongyan Zhao

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

2020

Towards Context-Aware Code Comment Generation.

Xiaohan Yu, Quzhe Huang, Zheng Wang, Yansong Feng, Dongyan Zhao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020