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ORCIDQuzhe Huang
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2020 – today
- 2024
[c19]Chen Zhang, Mingxu Tao, Quzhe Huang, Jiuheng Lin, Zhibin Chen, Yansong Feng:
MC²: Towards Transparent and Culturally-Aware NLP for Minority Languages in China. ACL (1) 2024: 8832-8850- [c18]Quzhe Huang, Zhenwei An, Nan Zhuang, Mingxu Tao, Chen Zhang, Yang Jin, Kun Xu, Liwei Chen, Songfang Huang, Yansong Feng:
Harder Task Needs More Experts: Dynamic Routing in MoE Models. ACL (1) 2024: 12883-12895 - [c17]Mingxu Tao, Quzhe Huang, Kun Xu, Liwei Chen, Yansong Feng, Dongyan Zhao:
Probing Multimodal Large Language Models for Global and Local Semantic Representations. LREC/COLING 2024: 13050-13056 - [c16]Yutong Hu, Quzhe Huang, Mingxu Tao, Chen Zhang, Yansong Feng:
Can Perplexity Reflect Large Language Model's Ability in Long Text Understanding? Tiny Papers @ ICLR 2024 - [c15]Chen Zhang, Mingxu Tao, Quzhe Huang, Zhibin Chen, Yansong Feng:
Can LLMs Learn a New Language on the Fly? A Case Study on Zhuang. Tiny Papers @ ICLR 2024 - [c14]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:
Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization. ICLR 2024 - [c13]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:
Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization. ICML 2024 - [i19]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:
Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization. CoRR abs/2402.03161 (2024) - [i18]Mingxu Tao, Quzhe Huang, Kun Xu, Liwei Chen, Yansong Feng, Dongyan Zhao:
Probing Multimodal Large Language Models for Global and Local Semantic Representation. CoRR abs/2402.17304 (2024) - [i17]Quzhe Huang, Zhenwei An, Nan Zhuang, Mingxu Tao, Chen Zhang, Yang Jin, Kun Xu, Liwei Chen, Songfang Huang, Yansong Feng:
Harder Tasks Need More Experts: Dynamic Routing in MoE Models. CoRR abs/2403.07652 (2024) - [i16]Yutong Hu, Quzhe Huang, Mingxu Tao, Chen Zhang, Yansong Feng:
Can Perplexity Reflect Large Language Model's Ability in Long Text Understanding? CoRR abs/2405.06105 (2024) - [i15]Yutong Hu, Quzhe Huang, Kangcheng Luo, Yansong Feng:
What Kinds of Tokens Benefit from Distant Text? An Analysis on Long Context Language Modeling. CoRR abs/2406.11238 (2024) - [i14]Mingxu Tao, Chen Zhang, Quzhe Huang, Tianyao Ma, Songfang Huang, Dongyan Zhao, Yansong Feng:
Unlocking the Potential of Model Merging for Low-Resource Languages. CoRR abs/2407.03994 (2024) - [i13]Yutong Hu, Quzhe Huang, Yansong Feng:
Only One Relation Possible? Modeling the Ambiguity in Event Temporal Relation Extraction. CoRR abs/2408.07353 (2024) - 2023
- [c12]Quzhe Huang, Yutong Hu, Shengqi Zhu, Yansong Feng, Chang Liu, Dongyan Zhao:
More than Classification: A Unified Framework for Event Temporal Relation Extraction. ACL (1) 2023: 9631-9646 - [c11]Chang Liu, Chongyang Tao, Jianxin Liang, Jiazhan Feng, Tao Shen, Quzhe Huang, Dongyan Zhao:
Length-Adaptive Distillation: Customizing Small Language Model for Dynamic Token Pruning. EMNLP (Findings) 2023: 4452-4463 - [c10]Quzhe Huang, Yanxi Zhang, Dongyan Zhao:
From Simple to Complex: A Progressive Framework for Document-level Informative Argument Extraction. EMNLP (Findings) 2023: 6129-6140 - [c9]Haowei Du, Quzhe Huang, Chen Li, Chen Zhang, Yang Li, Dongyan Zhao:
Relation-Aware Question Answering for Heterogeneous Knowledge Graphs. EMNLP (Findings) 2023: 13582-13592 - [i12]Quzhe Huang, Mingxu Tao, Zhenwei An, Chen Zhang, Cong Jiang, Zhibin Chen, Zirui Wu, Yansong Feng:
Lawyer LLaMA Technical Report. CoRR abs/2305.15062 (2023) - [i11]Quzhe Huang, Yutong Hu, Shengqi Zhu, Yansong Feng, Chang Liu, Dongyan Zhao:
More than Classification: A Unified Framework for Event Temporal Relation Extraction. CoRR abs/2305.17607 (2023) - [i10]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:
Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization. CoRR abs/2309.04669 (2023) - [i9]Quzhe Huang, Yanxi Zhang, Dongyan Zhao:
From Simple to Complex: A Progressive Framework for Document-level Informative Argument Extraction. CoRR abs/2310.16358 (2023) - [i8]Chen Zhang, Mingxu Tao, Quzhe Huang, Jiuheng Lin, Zhibin Chen, Yansong Feng:
MC^2: A Multilingual Corpus of Minority Languages in China. CoRR abs/2311.08348 (2023) - [i7]Haowei Du, Quzhe Huang, Chen Li, Chen Zhang, Yang Li, Dongyan Zhao:
Relation-Aware Question Answering for Heterogeneous Knowledge Graphs. CoRR abs/2312.11922 (2023) - 2022
- [c8]Quzhe Huang, Shibo Hao, Yuan Ye, Shengqi Zhu, Yansong Feng, Dongyan Zhao:
Does Recommend-Revise Produce Reliable Annotations? An Analysis on Missing Instances in DocRED. ACL (1) 2022: 6241-6252 - [c7]Zhenwei An, Quzhe Huang, Cong Jiang
, Yansong Feng, Dongyan Zhao:
Do Charge Prediction Models Learn Legal Theory? EMNLP (Findings) 2022: 3757-3768 - [c6]Chang Liu, Chongyang Tao, Jianxin Liang, Tao Shen, Jiazhan Feng, Quzhe Huang, Dongyan Zhao:
Rethinking Task-Specific Knowledge Distillation: Contextualized Corpus as Better Textbook. EMNLP 2022: 10652-10658 - [c5]Haowei Du, Quzhe Huang, Chen Zhang, Dongyan Zhao:
Knowledge-Enhanced Iterative Instruction Generation and Reasoning for Knowledge Base Question Answering. NLPCC (1) 2022: 431-444 - [i6]Quzhe Huang, Shibo Hao, Yuan Ye, Shengqi Zhu, Yansong Feng, Dongyan Zhao:
Does Recommend-Revise Produce Reliable Annotations? An Analysis on Missing Instances in DocRED. CoRR abs/2204.07980 (2022) - [i5]Haowei Du, Quzhe Huang, Chen Zhang, Dongyan Zhao:
Knowledge-enhanced Iterative Instruction Generation and Reasoning for Knowledge Base Question Answering. CoRR abs/2209.03005 (2022) - [i4]Zhenwei An, Quzhe Huang, Cong Jiang, Yansong Feng, Dongyan Zhao:
Do Charge Prediction Models Learn Legal Theory? CoRR abs/2210.17108 (2022) - 2021
- [c4]Yuxuan Lai, Chen Zhang, Yansong Feng, Quzhe Huang, Dongyan Zhao:
Why Machine Reading Comprehension Models Learn Shortcuts? ACL/IJCNLP (Findings) 2021: 989-1002 - [c3]Quzhe Huang, Shengqi Zhu, Yansong Feng, Yuan Ye, Yuxuan Lai, Dongyan Zhao:
Three Sentences Are All You Need: Local Path Enhanced Document Relation Extraction. ACL/IJCNLP (2) 2021: 998-1004 - [c2]Quzhe Huang, Shengqi Zhu, Yansong Feng, Dongyan Zhao:
Exploring Distantly-Labeled Rationales in Neural Network Models. ACL/IJCNLP (1) 2021: 5571-5582 - [i3]Yuxuan Lai, Chen Zhang, Yansong Feng, Quzhe Huang, Dongyan Zhao:
Why Machine Reading Comprehension Models Learn Shortcuts? CoRR abs/2106.01024 (2021) - [i2]Quzhe Huang, Shengqi Zhu, Yansong Feng, Yuan Ye, Yuxuan Lai, Dongyan Zhao:
Three Sentences Are All You Need: Local Path Enhanced Document Relation Extraction. CoRR abs/2106.01793 (2021) - [i1]Quzhe Huang, Shengqi Zhu, Yansong Feng, Dongyan Zhao:
Exploring Distantly-Labeled Rationales in Neural Network Models. CoRR abs/2106.01809 (2021) - 2020
- [c1]Xiaohan Yu, Quzhe Huang, Zheng Wang, Yansong Feng, Dongyan Zhao:
Towards Context-Aware Code Comment Generation. EMNLP (Findings) 2020: 3938-3947
Coauthor Index
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