Kaiyan Zhang
Orcid: 0000-0002-1014-8442
According to our database1,
Kaiyan Zhang
authored at least 19 papers
between 2021 and 2024.
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Bibliography
2024
CoRR, 2024
Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation.
CoRR, 2024
CoRR, 2024
Fast and Slow Generating: An Empirical Study on Large and Small Language Models Collaborative Decoding.
CoRR, 2024
CoRR, 2024
PaD: Program-aided Distillation Can Teach Small Models Reasoning Better than Chain-of-thought Fine-tuning.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
ACM Trans. Inf. Syst., January, 2023
ACM Trans. Inf. Syst., 2023
Demo: Domino: A High-Precision Performance Monitoring and Analysis Platform for Client Applications.
Proceedings of the 21st Annual International Conference on Mobile Systems, 2023
CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
2021
BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021