Zeping Yu

According to our database, Zeping Yu authored at least 18 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Locate-then-Merge: Neuron-Level Parameter Fusion for Mitigating Catastrophic Forgetting in Multimodal LLMs.

Zeping Yu, Sophia Ananiadou

CoRR, May, 2025

Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models.

Zeping Yu, Yonatan Belinkov, Sophia Ananiadou

CoRR, February, 2025

Understanding and Mitigating Gender Bias in LLMs via Interpretable Neuron Editing.

Zeping Yu, Sophia Ananiadou

CoRR, January, 2025

2024

Emotion detection for misinformation: A review.

Zhiwei Liu, Tianlin Zhang, Kailai Yang, Paul Thompson, Zeping Yu, Sophia Ananiadou

Inf. Fusion, 2024

Understanding Multimodal LLMs: the Mechanistic Interpretability of Llava in Visual Question Answering.

Zeping Yu, Sophia Ananiadou

CoRR, 2024

EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis.

Zhiwei Liu, Kailai Yang, Tianlin Zhang, Qianqian Xie, Zeping Yu, Sophia Ananiadou

CoRR, 2024

Sign Language Vocabulary Recognition Only with Tactile Sensing Glove.

Motoki Kagami, Zeping Yu, Sim Teck Ceng, Lei Jing

Proceedings of the 17th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2024

Interpreting Arithmetic Mechanism in Large Language Models through Comparative Neuron Analysis.

Zeping Yu, Sophia Ananiadou

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

Zeping Yu, Sophia Ananiadou

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Neuron-Level Knowledge Attribution in Large Language Models.

Zeping Yu, Sophia Ananiadou

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Exploring the Residual Stream of Transformers.

Zeping Yu, Kailai Yang, Zhiwei Liu, Sophia Ananiadou

CoRR, 2023

2020

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

Zeping Yu, Wenxin Zheng, Jiaqi Wang, Qiyi Tang, Sen Nie, Shi Wu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Order Matters: Semantic-Aware Neural Networks for Binary Code Similarity Detection.

Zeping Yu, Rui Cao, Qiyi Tang, Sen Nie, Junzhou Huang, Shi Wu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Dissect Sliced-RNN in Multi-Attention view.

Zeping Yu, Linqing Shi, Gongshen Liu

Aust. J. Intell. Inf. Process. Syst., 2019

Extensive Pyramid Networks for Text Classification.

Linqing Shi, Zeping Yu, Gongshen Liu

Aust. J. Intell. Inf. Process. Syst., 2019

Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation.

Zeping Yu, Jianxun Lian, Ahmad Mahmoody, Gongshen Liu, Xing Xie

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Sliced Recurrent Neural Networks.

Zeping Yu, Gongshen Liu

Proceedings of the 27th International Conference on Computational Linguistics, 2018

2016

Modeling DC circuit breaker in MTDC for wind farms based on delay slope method.

Xunwen Su, Songtao Fu, Jiaoxia Hao, Xiaomeng Kang, Zeping Yu, Rongfeng Yang

Proceedings of the IECON 2016, 2016