Search Results for author: Zeping Yu

Found 6 papers, 3 papers with code

How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning

no code implementations5 Feb 2024 Zeping Yu, Sophia Ananiadou

We investigate the mechanism of in-context learning (ICL) on sentence classification tasks with semantically-unrelated labels ("foo"/"bar").

In-Context Learning Metric Learning +3

Neuron-Level Knowledge Attribution in Large Language Models

no code implementations19 Dec 2023 Zeping Yu, Sophia Ananiadou

Our method and analysis are helpful for understanding the mechanisms of knowledge storage and set the stage for future research in knowledge editing.

knowledge editing

Emotion Detection for Misinformation: A Review

no code implementations1 Nov 2023 Zhiwei Liu, Tianlin Zhang, Kailai Yang, Paul Thompson, Zeping Yu, Sophia Ananiadou

The emotions and sentiments of netizens, as expressed in social media posts and news, constitute important factors that can help to distinguish fake news from genuine news and to understand the spread of rumors.

Fake News Detection Misinformation

CodeCMR: Cross-Modal Retrieval For Function-Level Binary Source Code Matching

1 code implementation NeurIPS 2020 Zeping Yu, Wenxin Zheng, Jiaqi Wang, Qiyi Tang, Sen Nie, Shi Wu

We adopt Deep Pyramid Convolutional Neural Network (DPCNN) for source code feature extraction and Graph Neural Network (GNN) for binary code feature extraction.

Computer Security Cross-Modal Retrieval +3

Sliced Recurrent Neural Networks

3 code implementations COLING 2018 Zeping Yu, Gongshen Liu

In this paper, we introduce sliced recurrent neural networks (SRNNs), which could be parallelized by slicing the sequences into many subsequences.

Sentiment Analysis

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