Fried, Daniel

StarCoder: may the source be with you!

Li, R., Allal, L. B., Zi, Y., Muennighoff, N., Kocetkov, D., Mou, C., Marone, M., Akiki, C., Li, J., Chim, J., et al. (2023) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 261

InCoder: A Generative Model for Code Infilling and Synthesis

Fried, D., Aghajanyan, A., Lin, J., Wang, S., Wallace, E., Shi, F., Zhong, R., Yih, W.-T., Zettlemoyer, L., & Lewis, M. (2022) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 187

Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs

Sap, M., LeBras, R., Fried, D., & Choi, Y. (2022) · arXiv

Child and Animal Learning DevelopmentTopic Modeling

Cited by 118

Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs

Sap, M., Le Bras, R., Fried, D., & Choi, Y. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Child and Animal Learning DevelopmentTopic Modeling

Cited by 118

SantaCoder: don't reach for the stars!

Allal, L. B., Li, R., Kocetkov, D., Mou, C., Akiki, C., Ferrandis, C. M., Muennighoff, N., Mishra, M., Gu, A., Dey, M., et al. (2023) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 61

Natural Language to Code Translation with Execution

Shi, F., Fried, D., Ghazvininejad, M., Zettlemoyer, L., & Wang, S. I. (2022) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 49

Grounding Language Models to Images for Multimodal Inputs and Outputs

Koh, J. Y., Salakhutdinov, R., & Fried, D. (2023) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 38

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

Execution-Based Evaluation for Open-Domain Code Generation

Wang, Z., Zhou, S., Fried, D., & Neubig, G. (2022) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 20

Agent Workflow Memory

Wang, Z. Z., Mao, J., Fried, D., & Neubig, G. (2024) · arXiv

Web Data Mining and AnalysisInformation Retrieval and Search Behavior

Cited by 5

Tree Search for Language Model Agents

Koh, J. Y., McAleer, S., Fried, D., & Salakhutdinov, R. (2024) · arXiv

AI-based Problem Solving and PlanningInformation Retrieval and Search Behavior

Cited by 2

Dissecting Adversarial Robustness of Multimodal LM Agents

Wu, C. H., Shah, R., Koh, J. Y., Salakhutdinov, R., Fried, D., & Raghunathan, A. (2024) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 1

TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic Tasks

Wang, Z., Fried, D., & Neubig, G. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 0

Inducing Programmatic Skills for Agentic Tasks

Wang, Z. Z., Gandhi, A., Neubig, G., & Fried, D. (2025) · arXiv

Web Data Mining and AnalysisAI-based Problem Solving and Planning

Cited by 0