Xu, Frank F.

How Can We Know What Language Models Know?

Jiang, Z., Xu, F. F., Araki, J., & Neubig, G. (2020) · Transactions of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 1,002

A systematic evaluation of large language models of code

Xu, F. F., Alon, U., Neubig, G., & Hellendoorn, V. J. (2022) · Proceedings of the 6th ACM SIGPLAN International Symposium on Machine Programming

Software Engineering ResearchTopic Modeling

Cited by 540

Active Retrieval Augmented Generation

Jiang, Z., Xu, F., Gao, L., Sun, Z., Liu, Q., Dwivedi-Yu, J., Yang, Y., Callan, J., & Neubig, G. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Topic ModelingInformation Retrieval and Search Behavior

Cited by 497

In-IDE Code Generation from Natural Language: Promise and Challenges

Xu, F. F., Vasilescu, B., & Neubig, G. (2022) · ACM Transactions on Software Engineering and Methodology

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 154

In-IDE Code Generation from Natural Language: Promise and Challenges

Xu, F. F., Vasilescu, B., & Neubig, G. (2021) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 153

CodeRAG-Bench: Can Retrieval Augment Code Generation?

Wang, Z. Z., Asai, A., Yu, X. V., Xu, F. F., Xie, Y., Neubig, G., & Fried, D. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 34

DocPrompting: Generating Code by Retrieving the Docs

Zhou, S., Alon, U., Xu, F. F., Wang, Z., Jiang, Z., & Neubig, G. (2022) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 33

Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval

Alon, U., Xu, F. F., He, J., Sengupta, S., Roth, D., & Neubig, G. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 32

WebArena: A Realistic Web Environment for Building Autonomous Agents

Zhou, S., Xu, F. F., Zhu, H., Zhou, X., Lo, R., Sridhar, A., Cheng, X., Ou, T., Bisk, Y., Fried, D., et al. (2023) · arXiv

Software Testing and Debugging TechniquesWeb Data Mining and Analysis

Cited by 31

OpenHands: An Open Platform for AI Software Developers as Generalist Agents

Wang, X., Li, B., Song, Y., Xu, F. F., Tang, X., Zhuge, M., Pan, J., Song, Y., Li, B., Singh, J., et al. (2024) · arXiv

Software Engineering ResearchArtificial Intelligence Applications

Cited by 24

Active Retrieval Augmented Generation

Jiang, Z., Xu, F. F., Gao, L., Sun, Z., Liu, Q., Dwivedi-Yu, J., Yang, Y., Callan, J., & Neubig, G. (2023) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 18

TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks

Xu, F. F., Song, Y., Li, B., Tang, Y., Jain, K., Bao, M., Wang, Z. Z., Zhou, X., Guo, Z., Cao, M., et al. (2024) · arXiv

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 17

Beyond Browsing: API-Based Web Agents

Song, Y., Xu, F., Zhou, S., & Neubig, G. (2024) · arXiv

Web Data Mining and AnalysisInformation Retrieval and Search Behavior

Cited by 8

Hierarchical prompting assists large language model on web navigation

Sridhar, A., Lo, R., Xu, F. F., Zhu, H., & Zhou, S. (2023) · arXiv

Information Retrieval and Search BehaviorWeb Data Mining and Analysis

Cited by 2