Követés
Zeping Yu
Zeping Yu
University of Manchester
E-mail megerősítve itt: postgrad.manchester.ac.uk - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Order matters: Semantic-aware neural networks for binary code similarity detection
Z Yu, R Cao, Q Tang, S Nie, J Huang, S Wu
AAAI 2020, 1145-1152, 2020
2422020
Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation.
Z Yu, J Lian, A Mahmoody, G Liu, X Xie
IJCAI 2019, 4213-4219, 2019
1902019
Codecmr: Cross-modal retrieval for function-level binary source code matching
Z Yu, W Zheng, J Wang, Q Tang, S Nie, S Wu
NeurIPS 2020, 3872-3883, 2020
882020
Sliced recurrent neural networks
Z Yu, G Liu
COLING 2018, 2953-2964, 2018
672018
Emotion detection for misinformation: A review
Z Liu, T Zhang, K Yang, P Thompson, Z Yu, S Ananiadou
Information Fusion 107, 102300, 2024
302024
Neuron-Level Knowledge Attribution in Large Language Models
Z Yu, S Ananiadou
EMNLP 2024 Main, 3267-3280, 2024
12*2024
How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning
Z Yu, S Ananiadou
EMNLP 2024 Main, 3281-3292, 2024
112024
Interpreting arithmetic mechanism in large language models through comparative neuron analysis
Z Yu, S Ananiadou
EMNLP 2024 Main, 3293-3306, 2024
72024
Extensive Pyramid Networks for Text Classification.
L Shi, Z Yu, G Liu
Aust. J. Intell. Inf. Process. Syst. 17 (1), 17-23, 2019
32019
Understanding Multimodal LLMs: the Mechanistic Interpretability of Llava in Visual Question Answering
Z Yu, S Ananiadou
arXiv preprint arXiv:2411.10950, 2024
22024
Dissect Sliced-RNN in Multi-Attention view.
Z Yu, L Shi, G Liu
Aust. J. Intell. Inf. Process. Syst. 17 (2), 61-68, 2019
12019
Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models
Z Yu, Y Belinkov, S Ananiadou
arXiv preprint arXiv:2502.10835, 2025
2025
Understanding and Mitigating Gender Bias in LLMs via Interpretable Neuron Editing
Z Yu, S Ananiadou
arXiv preprint arXiv:2501.14457, 2025
2025
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