Shaochen Zhong

Orcid: 0009-0001-7289-3667

According to our database1, Shaochen Zhong authored at least 16 papers between 2022 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond.
ACM Trans. Knowl. Discov. Data, July, 2024

Retrieval-Enhanced Knowledge Editing for Multi-Hop Question Answering in Language Models.
CoRR, 2024

LoRA-as-an-Attack! Piercing LLM Safety Under The Share-and-Play Scenario.
CoRR, 2024

GNNs Also Deserve Editing, and They Need It More Than Once.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Soft Prompt Recovers Compressed LLMs, Transferably.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

TVE: Learning Meta-attribution for Transferable Vision Explainer.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Knowledge Graphs Can be Learned with Just Intersection Features.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
LETA: Learning Transferable Attribution for Generic Vision Explainer.
CoRR, 2023

Editable Graph Neural Network for Node Classifications.
CoRR, 2023

Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model.
CoRR, 2023

Data-centric Artificial Intelligence: A Survey.
CoRR, 2023

2022
Revisit Kernel Pruning with Lottery Regulated Grouped Convolutions.
Proceedings of the Tenth International Conference on Learning Representations, 2022


  Loading...