Yin, Pengcheng

PaLM: Scaling Language Modeling with Pathways

Chowdhery, A., Narang, S., Devlin, J., Bosma, M., Mishra, G., Roberts, A., Barham, P., Chung, H. W., Sutton, C., Gehrmann, S., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2,590

Gemini: A Family of Highly Capable Multimodal Models

Gemini Team, Anil, R., Borgeaud, S., Alayrac, J.-B., Yu, J., Soricut, R., Schalkwyk, J., Dai, A. M., Hauth, A., Millican, K., et al. (2023) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 990

PaLM 2 Technical Report

Anil, R., Dai, A. M., Firat, O., Johnson, M., Lepikhin, D., Passos, A., Shakeri, S., Taropa, E., Bailey, P., Chen, Z., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 834

A Syntactic Neural Model for General-Purpose Code Generation

Yin, P., & Neubig, G. (2017) · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Software Engineering ResearchNatural Language Processing Techniques

Cited by 623

A Syntactic Neural Model for General-Purpose Code Generation

Yin, P., & Neubig, G. (2017) · arXiv

Software Engineering ResearchNatural Language Processing Techniques

Cited by 585

TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data

Yin, P., Neubig, G., Yih, W.-T., & Riedel, S. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 487

Learning to mine aligned code and natural language pairs from stack overflow

Yin, P., Deng, B., Chen, E., Vasilescu, B., & Neubig, G. (2018) · Proceedings of the 15th International Conference on Mining Software Repositories

Software Engineering ResearchNatural Language Processing Techniques

Cited by 218

TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation

Yin, P., & Neubig, G. (2018) · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations

Natural Language Processing TechniquesSpeech and dialogue systems

Cited by 203

ProgramBench: Can Language Models Rebuild Programs From Scratch?

Yang, J., Lieret, K., Ma, J., Thakkar, P., Pedchenko, D., Sootla, S., McMilin, E., Yin, P., Hou, R., Synnaeve, G., et al. (2026) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 84

SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL (extended)

Sun, R., Arik, S. Ö., Muzio, A., Miculicich, L., Gundabathula, S., Yin, P., Dai, H., Nakhost, H., Sinha, R., Wang, Z., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 31

Universal Self-Consistency for Large Language Model Generation

Chen, X., Aksitov, R., Alon, U., Ren, J., Xiao, K., Yin, P., Prakash, S., Sutton, C., Wang, X., & Zhou, D. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 13

Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Lei, F., Chen, J., Ye, Y., Cao, R., Shin, D., Su, H., Suo, Z., Gao, H., Hu, W., Yin, P., et al. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 7