Yang, Diyi

Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers

Si, C., Yang, D., & Hashimoto, T. (2024) · arXiv

Topic ModelingArtificial Intelligence Applications

Cited by 48

Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question Answering

Gupta, A., Xu, J., Upadhyay, S., Yang, D., & Faruqui, M. (2021) · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021

Topic ModelingNatural Language Processing Techniques

Cited by 22

Shaping the Emerging Norms of Using Large Language Models in Social Computing Research

Shen, H., Li, T., Li, T. J.-J., Park, J. S., & Yang, D. (2023) · Computer Supported Cooperative Work and Social Computing

Ethics and Social Impacts of AIComputational and Text Analysis Methods

Cited by 21

Best Practices and Lessons Learned on Synthetic Data

Liu, R., Wei, J., Liu, F., Si, C., Zhang, Y., Rao, J., Zheng, S., Peng, D., Yang, D., Zhou, D., et al. (2024) · arXiv

Topic ModelingEthics and Social Impacts of AI

Cited by 21

Training Socially Aligned Language Models on Simulated Social Interactions

Liu, R., Yang, R., Jia, C., Zhang, G., Zhou, D., Dai, A. M., Yang, D., & Vosoughi, S. (2023) · arXiv

Ethics and Social Impacts of AITopic Modeling

Cited by 18

Design2Code: Benchmarking Multimodal Code Generation for Automated Front-End Engineering

Si, C., Zhang, Y., Li, R., Yang, Z., Liu, R., & Yang, D. (2025) · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Software Engineering ResearchMultimodal Machine Learning Applications

Cited by 17

Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data

Gerstgrasser, M., Schaeffer, R., Dey, A., Rafailov, R., Sleight, H., Hughes, J., Korbak, T., Agrawal, R., Pai, D., Gromov, A., et al. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisTopic Modeling

Cited by 15

SEQZERO: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models

Yang, J., Jiang, H., Yin, Q., Zhang, D., Yin, B., & Yang, D. (2022) · Findings of the Association for Computational Linguistics: NAACL 2022

Topic ModelingNatural Language Processing Techniques

Cited by 15

Are Large Language Models Consistent over Value-laden Questions?

Moore, J., Deshpande, T., & Yang, D. (2024) · arXiv

Ethics and Social Impacts of AITopic Modeling

Cited by 12

Towards User-Centric Text-to-Text Generation: A Survey

Yang, D., & Flek, L. (2021) · Lecture Notes in Computer Science

Speech and dialogue systemsNatural Language Processing Techniques

Cited by 10

Deciphering Stereotypes in Pre-Trained Language Models

Ma, W., Scheible, H., Wang, B., Veeramachaneni, G., Chowdhary, P., Sun, A., Koulogeorge, A., Wang, L., Yang, D., & Vosoughi, S. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Ethics and Social Impacts of AITopic Modeling

Cited by 8

SWE-smith: Scaling Data for Software Engineering Agents

Yang, J., Lieret, K., Jimenez, C. E., Wettig, A., Khandpur, K., Zhang, Y., Hui, B., Press, O., Schmidt, L., & Yang, D. (2025) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 6

"Mistakes Help Us Grow": Facilitating and Evaluating Growth Mindset Supportive Language in Classrooms

Handa, K., Clapper, M., Boyle, J., Wang, R. E., Yang, D., Yeager, D. S., & Demszky, D. (2023) · arXiv

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 5

Anchor Points: Benchmarking Models with Much Fewer Examples

Vivek, R., Ethayarajh, K., Yang, D., & Kiela, D. (2023) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 4

Attacking Vision-Language Computer Agents via Pop-ups

Zhang, Y., Yu, T., & Yang, D. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Adversarial Robustness in Machine LearningWeb Application Security Vulnerabilities

Cited by 4

Anchor Points: Benchmarking Models with Much Fewer Examples

Vivek, R., Ethayarajh, K., Yang, D., & Kiela, D. (2024) · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 4

Design2Code: Benchmarking Multimodal Code Generation for Automated Front-End Engineering

Si, C., Zhang, Y., Li, R., Yang, Z., Liu, R., & Yang, D. (2024) · arXiv

Software Engineering ResearchMultimodal Machine Learning Applications

Cited by 4

SWE-bench Multimodal: Do AI Systems Generalize to Visual Software Domains?

Yang, J., Jimenez, C. E., Zhang, A. L., Lieret, K., Yang, J., Wu, X., Press, O., Muennighoff, N., Synnaeve, G., Narasimhan, K. R., et al. (2024) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 3

Humans are Missing from AI Coding Agent Research

Wang, Z. Z., Yang, J., Lieret, K., Tartaglini, A., Chen, V., Wei, Y., Wang, Z., Zhang, L., Narasimhan, K., Schmidt, L., et al. (2026) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 0

EgoNormia: Benchmarking Physical Social Norm Understanding

Rezaei, M., Fu, Y., Cuvin, P., Ziems, C., Zhang, Y., Zhu, H., & Yang, D. (2025) · arXiv

Child and Animal Learning DevelopmentEmbodied and Extended Cognition

Cited by 0

CooperBench: Why Coding Agents Cannot be Your Teammates Yet

Khatua, A., Zhu, H., Tran, P., Prabhudesai, A., Sadrieh, F., Lieberwirth, J. K., Yu, X., Fu, Y., Ryan, M. J., Pei, J., et al. (2026) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 0

CodeClash: Benchmarking Goal-Oriented Software Engineering

Yang, J., Lieret, K., Yang, J., Jimenez, C. E., Oblokulov, M., Siddiqui, A., Press, O., Schmidt, L., & Yang, D. (2025) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 0