Taiqiang Wu

Orcid: 0000-0002-3664-3513

According to our database1, Taiqiang Wu authored at least 15 papers between 2021 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Mixture-of-Subspaces in Low-Rank Adaptation.
CoRR, 2024

Unchosen Experts Can Contribute Too: Unleashing MoE Models' Power by Self-Contrast.
CoRR, 2024

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

2023
Weight-Inherited Distillation for Task-Agnostic BERT Compression.
CoRR, 2023

RIFormer: Keep Your Vision Backbone Effective While Removing Token Mixer.
CoRR, 2023

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

Modeling Fine-grained Information via Knowledge-aware Hierarchical Graph for Zero-shot Entity Retrieval.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Syngen: A Syntactic Plug-And-Play Module for Generative Aspect-Based Sentiment Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2023

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

RIFormer: Keep Your Vision Backbone Effective But Removing Token Mixer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

2022
TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities.
CoRR, 2022

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

Prompt-based Model for Acronym Disambiguation via Negative Sampling.
Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence, 2022

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


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