Lee, Yin Tat
11 papers on CoChatORCID 0000-0002-4692-5442
Most cited papers
- Verified
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Bubeck, S., Chandrasekaran, V., Eldan, R., Gehrke, J., Horvitz, E., Kamar, E., Lee, P., Lee, Y. T., Li, Y., Lundberg, S., et al. (2023) · arXiv
Topic ModelingArtificial Intelligence Applications
Cited by 1,526
- Verified
Automatic Prompt Optimization with “Gradient Descent” and Beam Search
Pryzant, R., Iter, D., Li, J., Lee, Y., Zhu, C., & Zeng, M. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Topic ModelingNatural Language Processing Techniques
Cited by 191
- Verified
Automatic Prompt Optimization with "Gradient Descent" and Beam Search
Pryzant, R., Iter, D., Li, J., Lee, Y. T., Zhu, C., & Zeng, M. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 191
- Verified
Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Nori, H., Lee, Y. T., Zhang, S., Carignan, D., Edgar, R., Fusi, N., King, N., Larson, J., Li, Y., Liu, W., et al. (2023) · arXiv
Topic ModelingArtificial Intelligence in Healthcare and Education
Cited by 178
- Verified
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Abdin, M., Aneja, J., Awadalla, H., Awadallah, A., Awan, A. A., Bach, N., Bahree, A., Bakhtiari, A., Bao, J., Behl, H., et al. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 166
- Verified
Textbooks Are All You Need
Gunasekar, S., Zhang, Y., Aneja, J., Mendes, C. C. T., Del Giorno, A., Gopi, S., Javaheripi, M., Kauffmann, P., de Rosa, G., Saarikivi, O., et al. (2023) · arXiv
Software Engineering ResearchTopic Modeling
Cited by 138
- Verified
Differentially Private Fine-tuning of Language Models
Yu, D., Naik, S., Backurs, A., Gopi, S., Inan, H. A., Kamath, G., Kulkarni, J., Lee, Y. T., Manoel, A., Wutschitz, L., et al. (2021) · arXiv
Privacy-Preserving Technologies in DataTopic Modeling
Cited by 101
- Verified
MathChat: Converse to Tackle Challenging Math Problems with LLM Agents
Wu, Y., Jia, F., Zhang, S., Li, H., Zhu, E., Wang, Y., Lee, Y. T., Peng, R., Wu, Q., & Wang, C. (2023) · arXiv
Artificial Intelligence ApplicationsMathematics, Computing, and Information Processing
Cited by 98
- Verified
Phi-4 Technical Report
Abdin, M., Aneja, J., Behl, H., Bubeck, S., Eldan, R., Gunasekar, S., Harrison, M., Hewett, R. J., Javaheripi, M., Kauffmann, P., et al. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 31
- Verified
OpenAI GPT-5 System Card
Singh, A., Fry, A., Perelman, A., Tart, A., Ganesh, A., El-Kishky, A., McLaughlin, A., Low, A., Ostrow, A., Ananthram, A., et al. (2026) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 26
- Verified
Early science acceleration experiments with GPT-5
Bubeck, S., Coester, C., Eldan, R., Gowers, T., Lee, Y. T., Lupsasca, A., Sawhney, M., Scherrer, R., Sellke, M., Spears, B. K., et al. (2025) · arXiv
Artificial Intelligence ApplicationsArtificial Intelligence in Healthcare and Education
Cited by 3
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