Zhe Zhao

72 papers A* 13A 2B 6Misc 2Journal 32Unranked 17
YearRankTypeTitle / Venue / Authors
2026 A* conf
Self-Evolving LLMs via Continual Instruction Tuning.
WWW
Jiazheng Kang, Le Huang, Cheng Hou, Zhe Zhao, Zhenxiang Yan, Ting Bai
2025 — conf
Does Visual Grounding Enhance the Understanding of Embodied Knowledge in Large Language Models?
EMNLP (Findings)
Zhihui Yang, Yupei Wang, Kaijie Mo, Zhe Zhao, Renfen Hu
2025 J jnl
Does Visual Grounding Enhance the Understanding of Embodied Knowledge in Large Language Models?
CoRR
Zhihui Yang, Yupei Wang, Kaijie Mo, Zhe Zhao, Renfen Hu
2025 B conf
Edge-free but Structure-aware: Prototype-Guided Knowledge Distillation from GNNs to MLPs.
COLING
Taiqiang Wu, Zhe Zhao, Jiahao Wang, Xingyu Bai, Lei Wang, Ngai Wong, Yujiu Yang
2025 J jnl
Efficient Multi-task Prompt Tuning for Recommendation.
ACM Trans. Inf. Syst.
Ting Bai, Le Huang, Yue Yu, Cheng Yang, Cheng Hou, Zhe Zhao, Chuan Shi
2025 J jnl
Investigating the Impact of Rationales for LLMs on Natural Language Understanding.
CoRR
Wenhang Shi, Shuqing Bian, Yiren Chen, Xinyi Zhang, Zhe Zhao, Pengfei Hu, Wei Lu, Xiaoyong Du
2025 A* conf
Joint Knowledge Editing for Information Enrichment and Probability Promotion.
AAAI
Wenhang Shi, Yiren Chen, Shuqing Bian, Xinyi Zhang, Zhe Zhao, Pengfei Hu, Wei Lu, Xiaoyong Du
2025 J jnl
No Loss, No Gain: Gated Refinement and Adaptive Compression for Prompt Optimization.
CoRR
Wenhang Shi, Yiren Chen, Shuqing Bian, Xinyi Zhang, Kai Tang, Pengfei Hu, Zhe Zhao, Wei Lu, Xiaoyong Du
2025 B conf
Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models.
COLING
Taiqiang Wu, Chaofan Tao, Jiahao Wang, Runming Yang, Zhe Zhao, Ngai Wong
2025 J jnl
Self-Evolving LLMs via Continual Instruction Tuning.
CoRR
Jiazheng Kang, Le Huang, Cheng Hou, Zhe Zhao, Zhenxiang Yan, Chuan Shi, Ting Bai
2024 — conf
Beyond Agreement: Diagnosing the Rationale Alignment of Automated Essay Scoring Methods based on Linguistically-informed Counterfactuals.
EMNLP (Findings)
Yupei Wang, Renfen Hu, Zhe Zhao
2024 J jnl
Beyond Agreement: Diagnosing the Rationale Alignment of Automated Essay Scoring Methods based on Linguistically-informed Counterfactuals.
CoRR
Yupei Wang, Renfen Hu, Zhe Zhao
2024 Misc conf
Dynamic Data Sampler for Cross-Language Transfer Learning in Large Language Models.
ICASSP
Yudong Li, Yuhao Feng, Wen Zhou, Zhe Zhao, Linlin Shen, Cheng Hou, Xianxu Hou
2024 J jnl
Dynamic data sampler for cross-language transfer learning in large language models.
CoRR
Yudong Li, Yuhao Feng, Wen Zhou, Zhe Zhao, Linlin Shen, Cheng Hou, Xianxu Hou
2024 J jnl
Efficient Multi-task Prompt Tuning for Recommendation.
CoRR
Ting Bai, Le Huang, Yue Yu, Cheng Yang, Cheng Hou, Zhe Zhao, Chuan Shi
2024 A* conf
FLIP-80M: 80 Million Visual-Linguistic Pairs for Facial Language-Image Pre-Training.
ACM Multimedia
Yudong Li, Xianxu Hou, Dezhi Zheng, Linlin Shen, Zhe Zhao
2024 J jnl
GraphLoRA: Empowering LLMs Fine-Tuning via Graph Collaboration of MoE.
CoRR
Ting Bai, Yue Yu, Le Huang, Zenan Xu, Zhe Zhao, Chuan Shi
2024 J jnl
Joint Knowledge Editing for Information Enrichment and Probability Promotion.
CoRR
Wenhang Shi, Yiren Chen, Shuqing Bian, Xinyi Zhang, Zhe Zhao, Pengfei Hu, Wei Lu, Xiaoyong Du
2024 A* conf
Mixture-of-Subspaces in Low-Rank Adaptation.
EMNLP
Taiqiang Wu, Jiahao Wang, Zhe Zhao, Ngai Wong
2024 J jnl
Mixture-of-Subspaces in Low-Rank Adaptation.
CoRR
Taiqiang Wu, Jiahao Wang, Zhe Zhao, Ngai Wong
2024 A* conf
RMCBench: Benchmarking Large Language Models' Resistance to Malicious Code.
ASE
Jiachi Chen, Qingyuan Zhong, Yanlin Wang, Kaiwen Ning, Yongkun Liu, Zenan Xu, Zhe Zhao, Ting Chen, Zibin Zheng
2024 J jnl
RMCBench: Benchmarking Large Language Models' Resistance to Malicious Code.
CoRR
Jiachi Chen, Qingyuan Zhong, Yanlin Wang, Kaiwen Ning, Yongkun Liu, Zenan Xu, Zhe Zhao, Ting Chen, Zibin Zheng
2024 J jnl
Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models.
CoRR
Taiqiang Wu, Chaofan Tao, Jiahao Wang, Zhe Zhao, Ngai Wong
2024 — conf
Weight-Inherited Distillation for Task-Agnostic BERT Compression.
NAACL-HLT (Findings)
Taiqiang Wu, Cheng Hou, Shanshan Lao, Jiayi Li, Ngai Wong, Zhe Zhao, Yujiu Yang
2023 A* conf
Addressing NER Annotation Noises with Uncertainty-Guided Tree-Structured CRFs.
EMNLP
Jian Liu, Weichang Liu, Yufeng Chen, Jinan Xu, Zhe Zhao
2023 J jnl
An Empirical Study on Adaptive Inference for Pretrained Language Model.
IEEE Trans. Neural Networks Learn. Syst.
Weijie Liu, Xin Zhao, Zhe Zhao, Qi Ju, Xuefeng Yang, Wei Lu
2023 A conf
Create and Find Flatness: Building Flat Training Spaces in Advance for Continual Learning.
ECAI
Wenhang Shi, Yiren Chen, Zhe Zhao, Wei Lu, Kimmo Yan, Xiaoyong Du
2023 J jnl
Create and Find Flatness: Building Flat Training Spaces in Advance for Continual Learning.
CoRR
Wenhang Shi, Yiren Chen, Zhe Zhao, Wei Lu, Kimmo Yan, Xiaoyong Du
2023 — conf
Document-Level Event Argument Extraction With a Chain Reasoning Paradigm.
ACL (1)
Jian Liu, Chen Liang, Jinan Xu, Haoyan Liu, Zhe Zhao
2023 J jnl
Edge-free but Structure-aware: Prototype-Guided Knowledge Distillation from GNNs to MLPs.
CoRR
Taiqiang Wu, Zhe Zhao, Jiahao Wang, Xingyu Bai, Lei Wang, Ngai Wong, Yujiu Yang
2023 — conf
Learning with Partial Annotations for Event Detection.
ACL (1)
Jian Liu, Dianbo Sui, Kang Liu, Haoyan Liu, Zhe Zhao
2023 — conf
Novel Slot Detection With an Incremental Setting.
EMNLP (Findings)
Chen Liang, Hongliang Li, Changhao Guan, Qingbin Liu, Jian Liu, Jinan Xu, Zhe Zhao
2023 Misc conf
Recouple Event Field via Probabilistic Bias for Event Extraction.
ICASSP
Xingyu Bai, Taiqiang Wu, Han Guo, Zhe Zhao, Xuefeng Yang, Jiayi Li, Weijie Liu, Qi Ju, Weigang Guo, Yujiu Yang
2023 J jnl
Recouple Event Field via Probabilistic Bias for Event Extraction.
CoRR
Xingyu Bai, Taiqiang Wu, Han Guo, Zhe Zhao, Xuefeng Yang, Jiayi Li, Weijie Liu, Qi Ju, Weigang Guo, Yujiu Yang
2023 — conf
SAMP: A Model Inference Toolkit of Post-Training Quantization for Text Processing via Self-Adaptive Mixed-Precision.
EMNLP (Industry Track)
Rong Tian, Zijing Zhao, Weijie Liu, Haoyan Liu, Weiquan Mao, Zhe Zhao, Kan Zhou
2023 — conf
TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities.
ACL (demo)
Zhe Zhao, Yudong Li, Cheng Hou, Jing Zhao, Rong Tian, Weijie Liu, Yiren Chen, Ningyuan Sun, Haoyan Liu, Weiquan Mao, Han Guo, Weigang Guo, Taiqiang Wu, Tao Zhu, Wenhang Shi, Chen Chen, Shan Huang, Sihong Chen, Liqun Liu, Feifei Li, Xiaoshuai Chen, Xingwu Sun, Zhanhui Kang, Xiaoyong Du, Linlin Shen, Kimmo Yan
2023 J jnl
Weight-Inherited Distillation for Task-Agnostic BERT Compression.
CoRR
Taiqiang Wu, Cheng Hou, Zhe Zhao, Shanshan Lao, Jiayi Li, Ngai Wong, Yujiu Yang
2022 B conf
A Simple and Effective Method to Improve Zero-Shot Cross-Lingual Transfer Learning.
COLING
Kunbo Ding, Weijie Liu, Yuejian Fang, Weiquan Mao, Zhe Zhao, Tao Zhu, Haoyan Liu, Rong Tian, Yiren Chen
2022 J jnl
A Simple and Effective Method to Improve Zero-Shot Cross-Lingual Transfer Learning.
CoRR
Kunbo Ding, Weijie Liu, Yuejian Fang, Weiquan Mao, Zhe Zhao, Tao Zhu, Haoyan Liu, Rong Tian, Yiren Chen
2022 B conf
CSL: A Large-scale Chinese Scientific Literature Dataset.
COLING
Yudong Li, Yuqing Zhang, Zhe Zhao, Linlin Shen, Weijie Liu, Weiquan Mao, Hui Zhang
2022 J jnl
CSL: A Large-scale Chinese Scientific Literature Dataset.
CoRR
Yudong Li, Yuqing Zhang, Zhe Zhao, Linlin Shen, Weijie Liu, Weiquan Mao, Hui Zhang
2022 J jnl
M2HF: Multi-level Multi-modal Hybrid Fusion for Text-Video Retrieval.
CoRR
Shuo Liu, Weize Quan, Ming Zhou, Sihong Chen, Jian Kang, Zhe Zhao, Chen Chen, Dong-Ming Yan
2022 — conf
Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity Matching.
NAACL-HLT (Findings)
Kunbo Ding, Weijie Liu, Yuejian Fang, Zhe Zhao, Qi Ju, Xuefeng Yang, Rong Tian, Zhu Tao, Haoyan Liu, Han Guo, Xingyu Bai, Weiquan Mao, Yudong Li, Weigang Guo, Taiqiang Wu, Ningyuan Sun
2022 J jnl
Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity Matching.
CoRR
Kunbo Ding, Weijie Liu, Yuejian Fang, Zhe Zhao, Qi Ju, Xuefeng Yang
2022 — conf
Parameter-efficient Continual Learning Framework in Industrial Real-time Text Classification System.
NAACL-HLT (Industry Papers)
Tao Zhu, Zhe Zhao, Weijie Liu, Jiachi Liu, Yiren Chen, Weiquan Mao, Haoyan Liu, Kunbo Ding, Yudong Li, Xuefeng Yang
2022 J jnl
SAMP: A Toolkit for Model Inference with Self-Adaptive Mixed-Precision.
CoRR
Rong Tian, Zijing Zhao, Weijie Liu, Haoyan Liu, Weiquan Mao, Zhe Zhao, Kimmo Yan
2022 J jnl
Semantic Matching from Different Perspectives.
CoRR
Weijie Liu, Tao Zhu, Weiquan Mao, Zhe Zhao, Weigang Guo, Xuefeng Yang, Qi Ju
2022 A* conf
Talk2Face: A Unified Sequence-based Framework for Diverse Face Generation and Analysis Tasks.
ACM Multimedia
Yudong Li, Xianxu Hou, Zhe Zhao, Linlin Shen, Xuefeng Yang, Kimmo Yan
2022 J jnl
TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities.
CoRR
Zhe Zhao, Yudong Li, Cheng Hou, Jing Zhao, Rong Tian, Weijie Liu, Yiren Chen, Ningyuan Sun, Haoyan Liu, Weiquan Mao, Han Guo, Weigang Guo, Taiqiang Wu, Tao Zhu, Wenhang Shi, Chen Chen, Shan Huang, Sihong Chen, Liqun Liu, Feifei Li, Xiaoshuai Chen, Xingwu Sun, Zhanhui Kang, Xiaoyong Du, Linlin Shen, Kimmo Yan
2021 — conf
Overview of the NLPCC 2021 Shared Task: AutoIE2.
NLPCC (2)
Weigang Guo, Xuefeng Yang, Xingyu Bai, Taiqiang Wu, Weijie Liu, Zhe Zhao, Qi Ju, Yujiu Yang
2020 B conf
CLUE: A Chinese Language Understanding Evaluation Benchmark.
COLING
Liang Xu, Hai Hu, Xuanwei Zhang, Lu Li, Chenjie Cao, Yudong Li, Yechen Xu, Kai Sun, Dian Yu, Cong Yu, Yin Tian, Qianqian Dong, Weitang Liu, Bo Shi, Yiming Cui, Junyi Li, Jun Zeng, Rongzhao Wang, Weijian Xie, Yanting Li, Yina Patterson, Zuoyu Tian, Yiwen Zhang, He Zhou, Shaoweihua Liu, Zhe Zhao, Qipeng Zhao, Cong Yue, Xinrui Zhang, Zhengliang Yang, Kyle Richardson, Zhenzhong Lan
2020 A* conf
FastBERT: a Self-distilling BERT with Adaptive Inference Time.
ACL
Weijie Liu, Peng Zhou, Zhiruo Wang, Zhe Zhao, Haotang Deng, Qi Ju
2020 J jnl
FastBERT: a Self-distilling BERT with Adaptive Inference Time.
CoRR
Weijie Liu, Peng Zhou, Zhe Zhao, Zhiruo Wang, Haotang Deng, Qi Ju
2020 A* conf
K-BERT: Enabling Language Representation with Knowledge Graph.
AAAI
Weijie Liu, Peng Zhou, Zhe Zhao, Zhiruo Wang, Qi Ju, Haotang Deng, Ping Wang
2019 J jnl
K-BERT: Enabling Language Representation with Knowledge Graph.
CoRR
Weijie Liu, Peng Zhou, Zhe Zhao, Zhiruo Wang, Qi Ju, Haotang Deng, Ping Wang
2019 — conf
UER: An Open-Source Toolkit for Pre-training Models.
EMNLP/IJCNLP (3)
Zhe Zhao, Hui Chen, Jinbin Zhang, Xin Zhao, Tao Liu, Wei Lu, Xi Chen, Haotang Deng, Qi Ju, Xiaoyong Du
2019 J jnl
UER: An Open-Source Toolkit for Pre-training Models.
CoRR
Zhe Zhao, Hui Chen, Jinbin Zhang, Xin Zhao, Tao Liu, Wei Lu, Xi Chen, Haotang Deng, Qi Ju, Xiaoyong Du
2018 — conf
Analogical Reasoning on Chinese Morphological and Semantic Relations.
ACL (2)
Shen Li, Zhe Zhao, Renfen Hu, Wensi Li, Tao Liu, Xiaoyong Du
2018 J jnl
Analogical Reasoning on Chinese Morphological and Semantic Relations.
CoRR
Shen Li, Zhe Zhao, Renfen Hu, Wensi Li, Tao Liu, Xiaoyong Du
2018 — conf
Attention-Based Recurrent Neural Network for Sequence Labeling.
APWeb/WAIM (1)
Bofang Li, Tao Liu, Zhe Zhao, Xiaoyong Du
2017 J jnl
Correction to: Guiding the Training of Distributed Text Representation with Supervised Weighting Scheme for Sentiment Analysis.
Data Sci. Eng.
Zhe Zhao, Tao Liu, Shen Li, Bofang Li, Xiaoyong Du
2017 J jnl
Guiding the Training of Distributed Text Representation with Supervised Weighting Scheme for Sentiment Analysis.
Data Sci. Eng.
Zhe Zhao, Tao Liu, Shen Li, Bofang Li, Xiaoyong Du
2017 A* conf
Initializing Convolutional Filters with Semantic Features for Text Classification.
EMNLP
Shen Li, Zhe Zhao, Tao Liu, Renfen Hu, Xiaoyong Du
2017 A* conf
Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings.
EMNLP
Bofang Li, Tao Liu, Zhe Zhao, Buzhou Tang, Aleksandr Drozd, Anna Rogers, Xiaoyong Du
2017 A* conf
Neural Bag-of-Ngrams.
AAAI
Bofang Li, Tao Liu, Zhe Zhao, Puwei Wang, Xiaoyong Du
2017 A* conf
Ngram2vec: Learning Improved Word Representations from Ngram Co-occurrence Statistics.
EMNLP
Zhe Zhao, Tao Liu, Shen Li, Bofang Li, Xiaoyong Du
2016 — conf
A Text Retrieval System Based on Distributed Representations.
APWeb (2)
Zhe Zhao, Tao Liu, Jun Chen, Bofang Li, Xiaoyong Du
2016 — conf
Classifying Relation via Bidirectional Recurrent Neural Network Based on Local Information.
APWeb (1)
Xiaoyun Hou, Zhe Zhao, Tao Liu, Xiaoyong Du
2016 A conf
Cluster-Driven Model for Improved Word and Text Embedding.
ECAI
Zhe Zhao, Tao Liu, Bofang Li, Xiaoyong Du
2016 — conf
Distributed Text Representation with Weighting Scheme Guidance for Sentiment Analysis.
APWeb (1)
Zhe Zhao, Tao Liu, Xiaoyun Hou, Bofang Li, Xiaoyong Du
2016 B conf
Weighted Neural Bag-of-n-grams Model: New Baselines for Text Classification.
COLING
Bofang Li, Zhe Zhao, Tao Liu, Puwei Wang, Xiaoyong Du
2015 J jnl
Learning Document Embeddings by Predicting N-grams for Sentiment Classification of Long Movie Reviews.
CoRR
Bofang Li, Tao Liu, Xiaoyong Du, Deyuan Zhang, Zhe Zhao