Khattab, Omar

On the Opportunities and Risks of Foundation Models

Bommasani, R., Hudson, D. A., Adeli, E., Altman, R., Arora, S., von Arx, S., Bernstein, M. S., Bohg, J., Bosselut, A., Brunskill, E., et al. (2021) · arXiv

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 2,676

ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT

Khattab, O., & Zaharia, M. (2020) · Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval

Information Retrieval and Search BehaviorTopic Modeling

Cited by 1,301

DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

Khattab, O., Singhvi, A., Maheshwari, P., Zhang, Z., Santhanam, K., Vardhamanan, S., Haq, S., Sharma, A., Joshi, T. T., Moazam, H., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 911

ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction

Santhanam, K., Khattab, O., Saad-Falcon, J., Potts, C., & Zaharia, M. (2022) · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Information Retrieval and Search BehaviorTopic Modeling

Cited by 353

Holistic Evaluation of Language Models

Liang, P., Bommasani, R., Lee, T., Tsipras, D., Soylu, D., Yasunaga, M., Zhang, Y., Narayanan, D., Wu, Y., Kumar, A., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 255

Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Opsahl-Ong, K., Ryan, M. J., Purtell, J., Broman, D., Potts, C., Zaharia, M., & Khattab, O. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Natural Language Processing TechniquesTopic Modeling

Cited by 212

ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems

Saad-Falcon, J., Khattab, O., Potts, C., & Zaharia, M. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Topic ModelingInformation Retrieval and Search Behavior

Cited by 148

Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP

Khattab, O., Santhanam, K., Li, X. L., Hall, D., Liang, P., Potts, C., & Zaharia, M. (2022) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 52

Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models

Shao, Y., Jiang, Y., Kanell, T., Xu, P., Khattab, O., & Lam, M. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 41

Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models

Shao, Y., Jiang, Y., Kanell, T. A., Xu, P., Khattab, O., & Lam, M. S. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 10

ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems

Saad-Falcon, J., Khattab, O., Potts, C., & Zaharia, M. (2023) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 7

GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning

Agrawal, L. A., Tan, S., Soylu, D., Ziems, N., Khare, R., Opsahl-Ong, K., Singhvi, A., Shandilya, H., Ryan, M. J., Jiang, M., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 7

Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Opsahl-Ong, K., Ryan, M. J., Purtell, J., Broman, D., Potts, C., Zaharia, M., & Khattab, O. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 4

Meta-Harness: End-to-End Optimization of Model Harnesses

Lee, Y., Nair, R., Zhang, Q., Lee, K., Khattab, O., & Finn, C. (2026) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 3

DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines

Singhvi, A., Shetty, M., Tan, S., Potts, C., Sen, K., Zaharia, M., & Khattab, O. (2023) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 2

Recursive Language Models

Zhang, A. L., Kraska, T., & Khattab, O. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

FreshStack: Building Realistic Benchmarks for Evaluating Retrieval on Technical Documents

Thakur, N., Lin, J., Havens, S., Carbin, M., Khattab, O., & Drozdov, A. (2025) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0

OBLIQ-Bench: Exposing Overlooked Bottlenecks in Modern Retrievers with Latent and Implicit Queries

Tchuindjo, D., Shah, D., & Khattab, O. (2026) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0