Durrett, Greg

Evaluating large language models on medical evidence summarization

Tang, L., Sun, Z., Idnay, B., Nestor, J. G., Soroush, A., Elias, P. A., Xu, Z., Ding, Y., Durrett, G., Rousseau, J. F., et al. (2023) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationTopic Modeling

Cited by 423

Evaluating Large Language Models on Medical Evidence Summarization

Tang, L., Sun, Z., Idnay, B., Nestor, J. G., Soroush, A., Elias, P. A., Xu, Z., Ding, Y., Durrett, G., Rousseau, J., et al. (2023) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationTopic Modeling

Cited by 423

Calibration of Pre-trained Transformers

Desai, S., & Durrett, G. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Topic ModelingAdversarial Robustness in Machine Learning

Cited by 209

News Summarization and Evaluation in the Era of GPT-3

Goyal, T., Li, J. J., & Durrett, G. (2022) · arXiv

Topic ModelingAdvanced Text Analysis Techniques

Cited by 175

Annotating and Modeling Fine-grained Factuality in Summarization

Goyal, T., & Durrett, G. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Topic ModelingNatural Language Processing Techniques

Cited by 100

Evaluating Factuality in Generation with Dependency-level Entailment

Goyal, T., & Durrett, G. (2020) · Findings of the Association for Computational Linguistics: EMNLP 2020

Natural Language Processing TechniquesTopic Modeling

Cited by 93

Understanding Dataset Design Choices for Multi-hop Reasoning

Chen, J., & Durrett, G. (2019) · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)

Topic ModelingMultimodal Machine Learning Applications

Cited by 82

The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning

Ye, X., & Durrett, G. (2022) · Advances in Neural Information Processing Systems 35

Topic ModelingExplainable Artificial Intelligence (XAI)

Cited by 75

MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents

Tang, L., Laban, P., & Durrett, G. (2024) · arXiv

Topic ModelingMisinformation and Its Impacts

Cited by 53

Generating Literal and Implied Subquestions to Fact-check Complex Claims

Chen, J., Sriram, A., Choi, E., & Durrett, G. (2022) · arXiv

Misinformation and Its ImpactsTopic Modeling

Cited by 34

Generating Literal and Implied Subquestions to Fact-check Complex Claims

Chen, J., Sriram, A., Choi, E., & Durrett, G. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Misinformation and Its ImpactsTopic Modeling

Cited by 34

WiCE: Real-world entailment for claims in Wikipedia

Kamoi, R., Goyal, T., Rodriguez, J., & Durrett, G. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 26

Propagating Knowledge Updates to LMs Through Distillation

Padmanabhan, S., Onoe, Y., Zhang, M., Durrett, G., & Choi, E. (2023) · Advances in Neural Information Processing Systems 36

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 6

CodeUpdateArena: Benchmarking Knowledge Editing on API Updates

Liu, Z. L., Pandit, S., Ye, X., Choi, E., & Durrett, G. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 6

Using Natural Language Explanations to Rescale Human Judgments

Wadhwa, M., Chen, J., Li, J. J., & Durrett, G. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 4

A Long Way to Go: Investigating Length Correlations in RLHF

Singhal, P., Goyal, T., Xu, J., & Durrett, G. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3

OpenThoughts: Data Recipes for Reasoning Models

Guha, E., Marten, R., Keh, S., Raoof, N., Smyrnis, G., Bansal, H., Nezhurina, M., Mercat, J., Vu, T., Sprague, Z., et al. (2025) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 1

From Distributional to Overton Pluralism: Investigating Large Language Model Alignment

Lake, T., Choi, E., & Durrett, G. (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)

Natural Language Processing TechniquesTopic Modeling

Cited by 1

Coeditor: Leveraging Contextual Changes for Multi-round Code Auto-editing

Wei, J., Durrett, G., & Dillig, I. (2023) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 1

Sparta alignment: Collectively aligning multiple language models through combat

Jiang, Y., Ding, W., Feng, S., Durrett, G., & Tsvetkov, Y. (2025) · Advances in Neural Information Processing Systems 38

Topic ModelingNatural Language Processing Techniques

Cited by 0

CLEVER: A Curated Benchmark for Formally Verified Code Generation

Thakur, A., Lee, J., Tsoukalas, G., Sistla, M., Zhao, M., Zetzsche, S., Durrett, G., Yue, Y., & Chaudhuri, S. (2025) · arXiv

Logic, programming, and type systemsTeaching and Learning Programming

Cited by 0

QUDsim: Quantifying Discourse Similarities in LLM-Generated Text

Namuduri, R., Wu, Y., Zheng, A. A., Wadhwa, M., Durrett, G., & Li, J. J. (2025) · arXiv

Topic ModelingAuthorship Attribution and Profiling

Cited by 0