--- title: "Omar Khattab — papers" description: "Omar Khattab: 5 papers in the Elamur Research library (2020–2024) — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/authors/omar-khattab/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/omar-khattab/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Omar Khattab # Omar Khattab 5 papers on this site (2020–2024) [OpenAlex](https://openalex.org/A5015201177) · [ORCID](https://orcid.org/0000-0002-9836-4413) · h-index 18 · 71 works · 5032 citations (openalex-snapshot, 2026-10-14) Profile data from OpenAlex; authors with the same name are not always told apart. - [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/) — Yijia Shao, Yucheng Jiang, Theodore Kanell, et al. · 2024 - [DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines](https://md.research.elamur.ai/free/en/papers/khattab-2023-dspy-compiling-declarative-language-model/) — Omar Khattab, Arnav Singhvi, Paridhi Maheshwari, et al. · 2023 - [ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction](https://md.research.elamur.ai/free/en/papers/santhanam-2022-colbertv2-effective-efficient-retrieval-lightweight/) — Keshav Santhanam, Omar Khattab, Jon Saad-Falcon, et al. · 2022 - [Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP](https://md.research.elamur.ai/free/en/papers/khattab-2022-demonstrate-search-predict-composing-retrieval/) — Omar Khattab, Keshav Santhanam, Xiang Lisa Li, et al. · 2022 - [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/) — Omar Khattab, Matei Zaharia · 2020