---
title: "Omar Khattab — all works — Elamur Research"
description: "All 29 works of Omar Khattab in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/omar-khattab/works/"
---
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# Omar Khattab — all works

29 works · [← Omar Khattab](https://md.research.elamur.ai/free/en/authors/omar-khattab/)

1. **[ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT](https://md.research.elamur.ai/free/en/papers/khattab-2020-colbert-efficient-effective-passage/) [International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)](https://md.research.elamur.ai/free/en/venues/international-acm-sigir-conference-on-research-and-development-in-information/)**Omar Khattab, Matei Zaharia*2020 · 1,789 citations*
2. **[Holistic Evaluation of Language Models ↗](https://arxiv.org/abs/2211.09110) arXiv:2211.09110 · Published in Transactions on Machine Learning Research (TMLR), 2023 · no summary yet**Percy Liang et al.*2022 · 1,001 citations*
3. **[ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction](https://md.research.elamur.ai/free/en/papers/santhanam-2022-colbertv2-effective-efficient-retrieval-lightweight/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Keshav Santhanam, Omar Khattab, Jon Saad-Falcon, et al.*2022 · 485 citations*
4. [**DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines arXiv:2310.03714**Omar Khattab, Arnav Singhvi, Paridhi Maheshwari, et al.*2023 · 285 citations*](https://md.research.elamur.ai/free/en/papers/khattab-2023-dspy-compiling-declarative-language-model/)
5. [**Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP arXiv:2212.14024**Omar Khattab, Keshav Santhanam, Xiang Lisa Li, et al.*2022 · 222 citations*](https://md.research.elamur.ai/free/en/papers/khattab-2022-demonstrate-search-predict-composing-retrieval/)
6. **[ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems ↗](https://aclanthology.org/2024.naacl-long.20/) 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 yet**Jon Saad-Falcon et al.*2024 · 191 citations*
7. **[Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models](https://md.research.elamur.ai/free/en/papers/shao-2024-assisting-writing-wikipedia-like-articles/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Yijia Shao, Yucheng Jiang, Theodore Kanell, et al.*2024 · 131 citations*
8. **[Relevance-guided Supervision for OpenQA with ColBERT](https://md.research.elamur.ai/free/en/papers/khattab-2021-relevance-guided-supervision-openqa-colbert/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Omar Khattab, Christopher Potts, Matei Zaharia*2021 · 121 citations*
9. **[GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning ↗](https://arxiv.org/abs/2507.19457) arXiv (Cornell University) · no summary yet**Agrawal, Lakshya A et al.*2025 · 111 citations*
10. **[Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs](https://md.research.elamur.ai/free/en/papers/ong-2024-optimizing-instructions-demonstrations-multi-stage/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Krista Opsahl-Ong, Michael J Ryan, Josh Purtell, et al.*2024 · 99 citations*
11. **[PLAID ↗](https://doi.org/10.1145/3511808.3557325) Proceedings of the ... ACM International Conference on Information & Knowledge Management · no summary yet**Keshav Santhanam et al.*2022 · 69 citations*
12. **[UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers ↗](https://aclanthology.org/2023.emnlp-main.693/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Jon Saad-Falcon et al.*2023 · 52 citations*
13. **[PLAID: An Efficient Engine for Late Interaction Retrieval ↗](https://arxiv.org/abs/2205.09707) arXiv:2205.09707 · no summary yet**Keshav Santhanam et al.*2022 · 45 citations*
14. **[ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems ↗](https://arxiv.org/abs/2311.09476) arXiv:2311.09476 · no summary yet**Jon Saad-Falcon et al.*2023 · 41 citations*
15. **[Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval ↗](https://arxiv.org/abs/2101.00436) arXiv (Cornell University) · no summary yet**Omar Khattab, Christopher E. Potts, Matei Zaharia*2021 · 35 citations*
16. **[Hindsight: Posterior-guided training of retrievers for improved open-ended generation ↗](https://arxiv.org/abs/2110.07752) arXiv (Cornell University) · no summary yet**Ashwin Paranjape et al.*2021 · 31 citations*
17. **[Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together ↗](https://aclanthology.org/2024.emnlp-main.597/) Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yet**Dilara Soylu, Christopher Potts, Omar Khattab*2024 · 22 citations*
18. **[In-Context Learning for Extreme Multi-Label Classification ↗](https://arxiv.org/abs/2401.12178) arXiv (Cornell University) · no summary yet**Karel D’Oosterlinck et al.*2024 · 16 citations*
19. **[Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking ↗](https://aclanthology.org/2023.findings-acl.738/) Findings of the Association for Computational Linguistics: ACL 2023 · no summary yet**Keshav Santhanam et al.*2023 · 12 citations*
20. **[DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines ↗](https://arxiv.org/abs/2312.13382) arXiv (Cornell University) · no summary yet**Arnav Singhvi et al.*2023 · 10 citations*
21. **[Building efficient and effective OpenQA systems for low-resource languages ↗](https://doi.org/10.1016/j.knosys.2024.112243) Knowledge-Based Systems · no summary yet**Emrah Budur et al.*2024 · 8 citations*
22. **[ColBERT-Serve: Efficient Multi-stage Memory-Mapped Scoring ↗](https://doi.org/10.1007/978-3-031-88717-8_3) Lecture notes in computer science · no summary yet**Kaili 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 ↗](https://arxiv.org/abs/2406.11706) arXiv (Cornell University) · no summary yet**Jasper Xian et al.*2024 · 3 citations*
24. **[optimize_anything: A Universal API for Optimizing any Text Parameter ↗](https://doi.org/10.1145/3786335.3813167) 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 yet**Lakshya A Agrawal et al.*2026 · 1 citation*
25. **[LangProBe: a Language Program Benchmark ↗](https://aclanthology.org/2025.findings-emnlp.1172/) Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yet**Shangyin Tan et al.*2025 · 1 citation*
26. **[LangProBe: a Language Programs Benchmark ↗](https://arxiv.org/abs/2502.20315) arXiv (Cornell University) · no summary yet**Shangyin Tan et al.*2025 · 1 citation*
27. **[Composing Policy Gradients and Prompt Optimization for Language Model Programs ↗](https://arxiv.org/abs/2508.04660) arXiv (Cornell University) · no summary yet**Noah Ziems et al.*2025 · 1 citation*
28. **[ScholarCatalyst: A Benchmark for Retrieving Papers That Inspire New Research ↗](https://arxiv.org/abs/2610.02202) arXiv (Cornell University) · no summary yet**Sohyeon Kim et al.*2026*
29. **[Token-Level Dense Retrieval for Biomedical Safety: Evaluating ColBERTv2 on the BioDEX Dataset ↗](https://doi.org/10.25740/xs924dk3851) Stanford Digital Repository · no summary yet**Zhang, Chuyi et al.*2025*