Survey on Media Independent Handover (MIH) Approaches in Heterogeneous Wireless Networks. - Omar Khattab; Omar Alani (EW, 2013)

I am 4 vho: new approach to improve seamless vertical hanover in heterogeneous wireless networks. - Omar Khattab; Omar Alani (CoRR, 2013)

A Survey on Media Independent Handover (MIH) and IP Multimedia Subsystem (IMS) in Heterogeneous Wireless Networks. - Omar Khattab; Omar Alani (Int. J. Wirel. Inf. Networks, 2013)

The design and calculation of algorithm for optimizing vertical handover performance. - Omar Khattab; Omar Alani (CSNDSP, 2014)

An Overview of Interworking Architectures in Heterogeneous Wireless Networks: Objectives, Features and Challenges. - Omar Khattab; Omar Alani (INC, 2014)

PolyHJ: A Polymorphic Main-Memory Hash Join Paradigm for Multi-Core Machines. - Omar Khattab; Mohammad Hammoud; Omar Shekfeh (CIKM, 2018)

LA3: A Scalable Link- and Locality-Aware Linear Algebra-Based Graph Analytics System. - Muhammad Yousuf Ahmad; Omar Khattab; Arsal Malik; Ahmad Musleh; Mohammad Hammoud; Mücahid Kutlu; Mostafa Shehata; Tamer Elsayed (Proc. VLDB Endow., 2018)

Finding the Best of Both Worlds: Faster and More Robust Top-k Document Retrieval. - Omar Khattab; Mohammad Hammoud; Tamer Elsayed (SIGIR, 2020)

ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT. - Omar Khattab; Matei Zaharia (SIGIR, 2020)

Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval. - Omar Khattab; Christopher Potts; Matei A. Zaharia (NeurIPS, 2021)

Learning Passage Impacts for Inverted Indexes. - Antonio Mallia; Omar Khattab; Torsten Suel; Nicola Tonellotto (SIGIR, 2021)

On the Opportunities and Risks of Foundation Models. - Rishi Bommasani; Drew A. Hudson; Ehsan Adeli 001; Russ B. Altman; Simran Arora; Sydney von Arx; Michael S. Bernstein; Jeannette Bohg; Antoine Bosselut; Emma Brunskill; Erik Brynjolfsson; Shyamal Buch; et al. (CoRR, 2021)

Relevance-guided Supervision for OpenQA with ColBERT. - Omar Khattab; Christopher Potts; Matei Zaharia (Trans. Assoc. Comput. Linguistics, 2021)

Introducing Neural Bag of Whole-Words with ColBERTer: Contextualized Late Interactions using Enhanced Reduction. - Sebastian Hofstätter; Omar Khattab; Sophia Althammer; Mete Sertkan; Allan Hanbury (CIKM, 2022)

PLAID: An Efficient Engine for Late Interaction Retrieval. - Keshav Santhanam; Omar Khattab; Christopher Potts; Matei Zaharia (CIKM, 2022)

Hindsight: Posterior-guided training of retrievers for improved open-ended generation. - Ashwin Paranjape; Omar Khattab; Christopher Potts; Matei Zaharia; Christopher D. Manning (ICLR, 2022)

ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction. - Keshav Santhanam; Omar Khattab; Jon Saad-Falcon; Christopher Potts; Matei Zaharia (NAACL-HLT, 2022)

Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP. - Omar Khattab; Keshav Santhanam; Xiang Lisa Li; David Hall 006; Percy Liang; Christopher Potts; Matei Zaharia (CoRR, 2022)

Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking. - Keshav Santhanam; Jon Saad-Falcon; Martin Franz; Omar Khattab; Avi Sil; Radu Florian; Md. Arafat Sultan; Salim Roukos; Matei Zaharia; Christopher Potts (ACL (Findings), 2023)

Blockchain-Based Heuristic Study to Secure UAVs From GPS Spoofing Signals and External Attacks. - Abdullatif Baba; Basil Alothman; Omar Khattab (BCCA, 2023)

UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers. - Jon Saad-Falcon; Omar Khattab; Keshav Santhanam; Radu Florian; Martin Franz; Salim Roukos; Avirup Sil; Md. Arafat Sultan; Christopher Potts (EMNLP, 2023)

Resources and Evaluations for Multi-Distribution Dense Information Retrieval. - Soumya Chatterjee 003; Omar Khattab; Simran Arora (CoRR, 2023)

DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines. - Omar Khattab; Arnav Singhvi; Paridhi Maheshwari; Zhiyuan Zhang; Keshav Santhanam; Sri Vardhamanan; Saiful Haq; Ashutosh Sharma; Thomas T. Joshi; Hanna Moazam; Heather Miller; Matei Zaharia; et al. (CoRR, 2023)

Image and Data Mining in Reticular Chemistry Using GPT-4V. - Zhiling Zheng; Zhiguo He; Omar Khattab; Nakul Rampal; Matei A. Zaharia; Christian Borgs; Jennifer T. Chayes; Omar M. Yaghi (CoRR, 2023)

DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines. - Arnav Singhvi; Manish Shetty; Shangyin Tan; Christopher Potts; Koushik Sen; Matei Zaharia; Omar Khattab (CoRR, 2023)

Holistic Evaluation of Language Models. - Percy Liang; Rishi Bommasani; Tony Lee; Dimitris Tsipras; Dilara Soylu; Michihiro Yasunaga; Yian Zhang; Deepak Narayanan; Yuhuai Wu; Ananya Kumar; Benjamin Newman; Binhang Yuan; et al. (Trans. Mach. Learn. Res., 2023)

IndicIRSuite: Multilingual Dataset and Neural Information Models for Indian Languages. - Saiful Haq; Ashutosh Sharma; Omar Khattab; Niyati Chhaya; Pushpak Bhattacharyya (ACL (Short Papers), 2024)

Backtracing: Retrieving the Cause of the Query. - Rose E. Wang; Pawan Wirawarn; Omar Khattab; Noah D. Goodman; Dorottya Demszky (EACL (Findings), 2024)

Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs. - Krista Opsahl-Ong; Michael J. Ryan; Josh Purtell; David Broman; Christopher Potts; Matei Zaharia; Omar Khattab (EMNLP, 2024)

Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together. - Dilara Soylu; Christopher Potts; Omar Khattab (EMNLP, 2024)

Problem-Oriented Segmentation and Retrieval: Case Study on Tutoring Conversations. - Rose E. Wang; Pawan Wirawarn; Kenny Lam; Omar Khattab; Dorottya Demszky (EMNLP (Findings), 2024)

DSPy: Compiling Declarative Language Model Calls into State-of-the-Art Pipelines. - Omar Khattab; Arnav Singhvi; Paridhi Maheshwari; Zhiyuan Zhang; Keshav Santhanam; Sri Vardhamanan; Saiful Haq; Ashutosh Sharma; Thomas T. Joshi; Hanna Moazam; Heather Miller; Matei Zaharia; et al. (ICLR, 2024)

ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems. - Jon Saad-Falcon; Omar Khattab; Christopher Potts; Matei Zaharia (NAACL-HLT, 2024)

Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models. - Yijia Shao; Yucheng Jiang; Theodore A. Kanell; Peter Xu 003; Omar Khattab; Monica S. Lam (NAACL-HLT, 2024)

In-Context Learning for Extreme Multi-Label Classification. - Karel D'Oosterlinck; Omar Khattab; François Remy; Thomas Demeester; Chris Develder; Christopher Potts (CoRR, 2024)

Prompts as Auto-Optimized Training Hyperparameters: Training Best-in-Class IR Models from Scratch with 10 Gold Labels. - Jasper Xian; Saron Samuel; Faraz Khoubsirat; Ronak Pradeep; Md. Arafat Sultan; Radu Florian; Salim Roukos; Avirup Sil; Christopher Potts; Omar Khattab (CoRR, 2024)

PAPILLON: PrivAcy Preservation from Internet-based and Local Language MOdel ENsembles. - Li Siyan; Vethavikashini Chithrra Raghuram; Omar Khattab; Julia Hirschberg; Zhou Yu (CoRR, 2024)

Drowning in Documents: Consequences of Scaling Reranker Inference. - Mathew Jacob; Erik Lindgren; Matei Zaharia; Michael Carbin; Omar Khattab; Andrew Drozdov (CoRR, 2024)

Building efficient and effective OpenQA systems for low-resource languages. - Emrah Budur; Riza Özçelik; Dilara Soylu; Omar Khattab; Tunga Güngör; Christopher Potts (Knowl. Based Syst., 2024)

Label dependency modeling in Multi-Label Naïve Bayes through input space expansion. - P. K. A. Chitra; Saravana Balaji Balasubramanian; Omar Khattab; Mhd Omar Al-Kadri (PeerJ Comput. Sci., 2024)

ColBERT-Serve: Efficient Multi-stage Memory-Mapped Scoring. - Kaili Huang; Thejas Venkatesh; Uma Dingankar; Antonio Mallia; Daniel Campos; Jian Jiao; Christopher Potts; Matei Zaharia; Kwabena Boahen 001; Omar Khattab; Saarthak Sarup; Keshav Santhanam (ECIR (4), 2025)

Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval. - Sheryl Hsu; Omar Khattab; Chelsea Finn; Archit Sharma (ICLR, 2025)

PAPILLON: Privacy Preservation from Internet-based and Local Language Model Ensembles. - Siyan Li; Vethavikashini Chithrra Raghuram; Omar Khattab; Julia Hirschberg; Zhou Yu (NAACL (Long Papers), 2025)

WARP: An Efficient Engine for Multi-Vector Retrieval. - Jan Luca Scheerer; Matei Zaharia; Christopher Potts; Gustavo Alonso; Omar Khattab (SIGIR, 2025)

LangProBe: a Language Programs Benchmark. - Shangyin Tan; Lakshya A. Agrawal; Arnav Singhvi; Liheng Lai; Michael J. Ryan; Dan Klein 001; Omar Khattab; Koushik Sen; Matei Zaharia (CoRR, 2025)

FreshStack: Building Realistic Benchmarks for Evaluating Retrieval on Technical Documents. - Nandan Thakur; Jimmy Lin; Sam Havens; Michael Carbin; Omar Khattab; Andrew Drozdov (CoRR, 2025)

GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning. - Lakshya A. Agrawal; Shangyin Tan; Dilara Soylu; Noah Ziems; Rishi Khare; Krista Opsahl-Ong; Arnav Singhvi; Herumb Shandilya; Michael J. Ryan; Meng Jiang; Christopher Potts; Koushik Sen; et al. (CoRR, 2025)