Search Results for author: Youcheng Huang

Found 5 papers, 3 papers with code

Empirical Study on Updating Key-Value Memories in Transformer Feed-forward Layers

1 code implementation19 Feb 2024 Zihan Qiu, Zeyu Huang, Youcheng Huang, Jie Fu

The feed-forward networks (FFNs) in transformers are recognized as a group of key-value neural memories to restore abstract high-level knowledge.

knowledge editing

See the Unseen: Better Context-Consistent Knowledge-Editing by Noises

no code implementations15 Jan 2024 Youcheng Huang, Wenqiang Lei, Zheng Zhang, Jiancheng Lv, Shuicheng Yan

In this paper, we empirically find that the effects of different contexts upon LLMs in recalling the same knowledge follow a Gaussian-like distribution.

knowledge editing

Reconciliation of Pre-trained Models and Prototypical Neural Networks in Few-shot Named Entity Recognition

1 code implementation7 Nov 2022 Youcheng Huang, Wenqiang Lei, Jie Fu, Jiancheng Lv

Incorporating large-scale pre-trained models with the prototypical neural networks is a de-facto paradigm in few-shot named entity recognition.

named-entity-recognition Named Entity Recognition +1

TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

1 code implementation ACL 2021 Fengbin Zhu, Wenqiang Lei, Youcheng Huang, Chao Wang, Shuo Zhang, Jiancheng Lv, Fuli Feng, Tat-Seng Chua

In this work, we extract samples from real financial reports to build a new large-scale QA dataset containing both Tabular And Textual data, named TAT-QA, where numerical reasoning is usually required to infer the answer, such as addition, subtraction, multiplication, division, counting, comparison/sorting, and the compositions.

Question Answering

Lifelong Learning Process: Self-Memory Supervising and Dynamically Growing Networks

no code implementations27 Apr 2020 Youcheng Huang, Tangchen Wei, Jundong Zhou, Chunxin Yang

In this paper, we study how to solve these conflicts on generative models based on the conditional variational autoencoder(CVAE) model.

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