Gao, Jianfeng

How much do language models copy from their training data? evaluating linguistic novelty in text generation using RAVEN

McCoy, R. T., Smolensky, P., Linzen, T., Gao, J., & Celikyilmaz, A. (2023) · Transactions of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 70

How much do language models copy from their training data? Evaluating linguistic novelty in text generation using RAVEN

McCoy, R. T., Smolensky, P., Linzen, T., Gao, J., & Celikyilmaz, A. (2021) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 70

Augmenting interpretable models with large language models during training

Singh, C., Askari, A., Caruana, R., & Gao, J. (2023) · Nature Communications

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 63

Magma: A Foundation Model for Multimodal AI Agents

Yang, J., Tan, R., Wu, Q., Zheng, R., Peng, B., Liang, Y., Gu, Y., Cai, M., Ye, S., Jang, J., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsRobot Manipulation and Learning

Cited by 53

Rethinking Interpretability in the Era of Large Language Models

Singh, C., Inala, J. P., Galley, M., Caruana, R., & Gao, J. (2024) · arXiv

Explainable Artificial Intelligence (XAI)Adversarial Robustness in Machine Learning

Cited by 50

PIQA: Reasoning about Physical Commonsense in Natural Language

Bisk, Y., Zellers, R., Le bras, R., Gao, J., & Choi, Y. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Topic ModelingMultimodal Machine Learning Applications

Cited by 37

Generation-Augmented Retrieval for Open-domain Question Answering

Mao, Y., He, P., Liu, X., Shen, Y., Gao, J., Han, J., & Chen, W. (2020) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 31

RetGen: A Joint Framework for Retrieval and Grounded Text Generation Modeling

Zhang, Y., Sun, S., Gao, X., Fang, Y., Brockett, C., Galley, M., Gao, J., & Dolan, B. (2022) · Proceedings of the AAAI Conference on Artificial Intelligence

Topic ModelingInformation Retrieval and Search Behavior

Cited by 27

Self-Verification Improves Few-Shot Clinical Information Extraction

Gero, Z., Singh, C., Cheng, H., Naumann, T., Galley, M., Gao, J., & Poon, H. (2023) · arXiv

Machine Learning in HealthcareTopic Modeling

Cited by 21

Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs

Ge, S., Zhang, Y., Liu, L., Zhang, M., Han, J., & Gao, J. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 13

Is Self-Repair a Silver Bullet for Code Generation?

Olausson, T. X., Inala, J. P., Wang, C., Gao, J., & Solar-Lezama, A. (2023) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 13

Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries

Gero, Z., Singh, C., Xie, Y., Zhang, S., Subramanian, P., Vozila, P., Naumann, T., Gao, J., & Poon, H. (2024) · arXiv

Topic ModelingAdvanced Text Analysis Techniques

Cited by 5

Data Analysis in the Era of Generative AI

Inala, J. P., Wang, C., Drucker, S., Ramos, G., Dibia, V., Riche, N., Brown, D., Marshall, D., & Gao, J. (2024) · arXiv

Data Visualization and AnalyticsSpreadsheets and End-User Computing

Cited by 4

On Memory Construction and Retrieval for Personalized Conversational Agents

Pan, Z., Wu, Q., Jiang, H., Luo, X., Cheng, H., Li, D., Yang, Y., Lin, C.-Y., Zhao, H. V., Qiu, L., et al. (2025) · arXiv

Speech and dialogue systemsAI in Service Interactions

Cited by 2

MindAgent: Emergent Gaming Interaction

Gong, R., Huang, Q., Ma, X., Vo, H., Durante, Z., Noda, Y., Zheng, Z., Zhu, S.-C., Terzopoulos, D., Fei-Fei, L., et al. (2023) · arXiv

Artificial Intelligence in GamesMulti-Agent Systems and Negotiation

Cited by 1

Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs

Zhang, Q., Singh, C., Liu, L., Liu, X., Yu, B., Gao, J., & Zhao, T. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0