Zhe Zhao

Orcid: 0009-0008-9496-5917

Affiliations:
  • Tencent Research, Beijing, China
  • Renmin University of China, DBIIR Lab, Beijing, China
  • Renmin University of China, School of Information, Beijing, China


According to our database1, Zhe Zhao authored at least 44 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

Online presence:

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Bibliography

2024
Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models.
CoRR, 2024

Weight-Inherited Distillation for Task-Agnostic BERT Compression.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

FLIP-80M: 80 Million Visual-Linguistic Pairs for Facial Language-Image Pre-Training.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Dynamic Data Sampler for Cross-Language Transfer Learning in Large Language Models.
Proceedings of the IEEE International Conference on Acoustics, 2024

Mixture-of-Subspaces in Low-Rank Adaptation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Beyond Agreement: Diagnosing the Rationale Alignment of Automated Essay Scoring Methods based on Linguistically-informed Counterfactuals.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
An Empirical Study on Adaptive Inference for Pretrained Language Model.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Edge-free but Structure-aware: Prototype-Guided Knowledge Distillation from GNNs to MLPs.
CoRR, 2023

Recouple Event Field via Probabilistic Bias for Event Extraction.
Proceedings of the IEEE International Conference on Acoustics, 2023

SAMP: A Model Inference Toolkit of Post-Training Quantization for Text Processing via Self-Adaptive Mixed-Precision.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

Addressing NER Annotation Noises with Uncertainty-Guided Tree-Structured CRFs.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Novel Slot Detection With an Incremental Setting.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Create and Find Flatness: Building Flat Training Spaces in Advance for Continual Learning.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

Learning with Partial Annotations for Event Detection.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Document-Level Event Argument Extraction With a Chain Reasoning Paradigm.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
SAMP: A Toolkit for Model Inference with Self-Adaptive Mixed-Precision.
CoRR, 2022

Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity Matching.
CoRR, 2022

M2HF: Multi-level Multi-modal Hybrid Fusion for Text-Video Retrieval.
CoRR, 2022

Semantic Matching from Different Perspectives.
CoRR, 2022

Parameter-efficient Continual Learning Framework in Industrial Real-time Text Classification System.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2022

Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity Matching.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Talk2Face: A Unified Sequence-based Framework for Diverse Face Generation and Analysis Tasks.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

CSL: A Large-scale Chinese Scientific Literature Dataset.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

A Simple and Effective Method to Improve Zero-Shot Cross-Lingual Transfer Learning.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Overview of the NLPCC 2021 Shared Task: AutoIE2.
Proceedings of the Natural Language Processing and Chinese Computing, 2021

2020

FastBERT: a Self-distilling BERT with Adaptive Inference Time.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

K-BERT: Enabling Language Representation with Knowledge Graph.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
UER: An Open-Source Toolkit for Pre-training Models.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
Attention-Based Recurrent Neural Network for Sequence Labeling.
Proceedings of the Web and Big Data - Second International Joint Conference, 2018

Analogical Reasoning on Chinese Morphological and Semantic Relations.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Correction to: Guiding the Training of Distributed Text Representation with Supervised Weighting Scheme for Sentiment Analysis.
Data Sci. Eng., 2017

Guiding the Training of Distributed Text Representation with Supervised Weighting Scheme for Sentiment Analysis.
Data Sci. Eng., 2017

Ngram2vec: Learning Improved Word Representations from Ngram Co-occurrence Statistics.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Initializing Convolutional Filters with Semantic Features for Text Classification.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Neural Bag-of-Ngrams.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Cluster-Driven Model for Improved Word and Text Embedding.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

Weighted Neural Bag-of-n-grams Model: New Baselines for Text Classification.
Proceedings of the COLING 2016, 2016

Distributed Text Representation with Weighting Scheme Guidance for Sentiment Analysis.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

A Text Retrieval System Based on Distributed Representations.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

Classifying Relation via Bidirectional Recurrent Neural Network Based on Local Information.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

2015
Learning Document Embeddings by Predicting N-grams for Sentiment Classification of Long Movie Reviews.
CoRR, 2015


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