🧑‍🔬 Omar Khattab — all works

29 works · ← Omar Khattab

1. ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERTInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Omar Khattab, Matei Zaharia2020 · 1,789 citations
2. Holistic Evaluation of Language Models ↗arXiv:2211.09110 · Published in Transactions on Machine Learning Research (TMLR), 2023 · no summary yetPercy Liang et al.2022 · 1,001 citations
3. ColBERTv2: Effective and Efficient Retrieval via Lightweight Late InteractionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Keshav Santhanam, Omar Khattab, Jon Saad-Falcon, et al.2022 · 485 citations
4. DSPy: Compiling Declarative Language Model Calls into Self-Improving PipelinesarXiv:2310.03714Omar Khattab, Arnav Singhvi, Paridhi Maheshwari, et al.2023 · 285 citations
5. Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLParXiv:2212.14024Omar Khattab, Keshav Santhanam, Xiang Lisa Li, et al.2022 · 222 citations
6. ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems ↗Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yetJon Saad-Falcon et al.2024 · 191 citations
7. Assisting in Writing Wikipedia-like Articles From Scratch with Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Yijia Shao, Yucheng Jiang, Theodore Kanell, et al.2024 · 131 citations
8. Relevance-guided Supervision for OpenQA with ColBERTTransactions of the Association for Computational Linguistics (TACL)Omar Khattab, Christopher Potts, Matei Zaharia2021 · 121 citations
9. GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning ↗arXiv (Cornell University) · no summary yetAgrawal, Lakshya A et al.2025 · 111 citations
10. Optimizing Instructions and Demonstrations for Multi-Stage Language Model ProgramsConference on Empirical Methods in Natural Language Processing (EMNLP)Krista Opsahl-Ong, Michael J Ryan, Josh Purtell, et al.2024 · 99 citations
11. PLAID ↗Proceedings of the ... ACM International Conference on Information & Knowledge Management · no summary yetKeshav Santhanam et al.2022 · 69 citations
12. UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetJon Saad-Falcon et al.2023 · 52 citations
13. PLAID: An Efficient Engine for Late Interaction Retrieval ↗arXiv:2205.09707 · no summary yetKeshav Santhanam et al.2022 · 45 citations
14. ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems ↗arXiv:2311.09476 · no summary yetJon Saad-Falcon et al.2023 · 41 citations
15. Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval ↗arXiv (Cornell University) · no summary yetOmar Khattab, Christopher E. Potts, Matei Zaharia2021 · 35 citations
16. Hindsight: Posterior-guided training of retrievers for improved open-ended generation ↗arXiv (Cornell University) · no summary yetAshwin Paranjape et al.2021 · 31 citations
17. Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together ↗Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yetDilara Soylu, Christopher Potts, Omar Khattab2024 · 22 citations
18. In-Context Learning for Extreme Multi-Label Classification ↗arXiv (Cornell University) · no summary yetKarel D’Oosterlinck et al.2024 · 16 citations
19. Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking ↗Findings of the Association for Computational Linguistics: ACL 2023 · no summary yetKeshav Santhanam et al.2023 · 12 citations
20. DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines ↗arXiv (Cornell University) · no summary yetArnav Singhvi et al.2023 · 10 citations
21. Building efficient and effective OpenQA systems for low-resource languages ↗Knowledge-Based Systems · no summary yetEmrah Budur et al.2024 · 8 citations
22. ColBERT-Serve: Efficient Multi-stage Memory-Mapped Scoring ↗Lecture notes in computer science · no summary yetKaili Huang et al.2025 · 4 citations
23. Prompts as Auto-Optimized Training Hyperparameters: Training Best-in-Class IR Models from Scratch with 10 Gold Labels ↗arXiv (Cornell University) · no summary yetJasper Xian et al.2024 · 3 citations
24. optimize_anything: A Universal API for Optimizing any Text Parameter ↗arXiv:2605.19633 · Proceedings of the ACM Conference on AI and Agentic Systems (CAIS 26), May 26-29, 2026, San Jose, CA, USA · no summary yetLakshya A Agrawal et al.2026 · 1 citation
25. LangProBe: a Language Program Benchmark ↗Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yetShangyin Tan et al.2025 · 1 citation
26. LangProBe: a Language Programs Benchmark ↗arXiv (Cornell University) · no summary yetShangyin Tan et al.2025 · 1 citation
27. Composing Policy Gradients and Prompt Optimization for Language Model Programs ↗arXiv (Cornell University) · no summary yetNoah Ziems et al.2025 · 1 citation
28. ScholarCatalyst: A Benchmark for Retrieving Papers That Inspire New Research ↗arXiv (Cornell University) · no summary yetSohyeon Kim et al.2026
29. Token-Level Dense Retrieval for Biomedical Safety: Evaluating ColBERTv2 on the BioDEX Dataset ↗Stanford Digital Repository · no summary yetZhang, Chuyi et al.2025

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