Omar Khattab

According to our database1, Omar Khattab authored at least 39 papers between 2013 and 2024.

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Bibliography

2024
Building efficient and effective OpenQA systems for low-resource languages.
Knowl. Based Syst., 2024

Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval.
CoRR, 2024

PAPILLON: PrivAcy Preservation from Internet-based and Local Language MOdel ENsembles.
CoRR, 2024

Prompts as Auto-Optimized Training Hyperparameters: Training Best-in-Class IR Models from Scratch with 10 Gold Labels.
CoRR, 2024

In-Context Learning for Extreme Multi-Label Classification.
CoRR, 2024

Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

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), 2024

DSPy: Compiling Declarative Language Model Calls into State-of-the-Art Pipelines.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Problem-Oriented Segmentation and Retrieval: Case Study on Tutoring Conversations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Backtracing: Retrieving the Cause of the Query.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

IndicIRSuite: Multilingual Dataset and Neural Information Models for Indian Languages.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

2023
Holistic Evaluation of Language Models.
Trans. Mach. Learn. Res., 2023

DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines.
CoRR, 2023

Image and Data Mining in Reticular Chemistry Using GPT-4V.
CoRR, 2023

DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines.
CoRR, 2023

Resources and Evaluations for Multi-Distribution Dense Information Retrieval.
CoRR, 2023

UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Blockchain-Based Heuristic Study to Secure UAVs From GPS Spoofing Signals and External Attacks.
Proceedings of the Fifth International Conference on Blockchain Computing and Applications, 2023

Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP.
CoRR, 2022

ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Hindsight: Posterior-guided training of retrievers for improved open-ended generation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

PLAID: An Efficient Engine for Late Interaction Retrieval.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Introducing Neural Bag of Whole-Words with ColBERTer: Contextualized Late Interactions using Enhanced Reduction.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Relevance-guided Supervision for OpenQA with ColBERT.
Trans. Assoc. Comput. Linguistics, 2021

On the Opportunities and Risks of Foundation Models.
CoRR, 2021

Learning Passage Impacts for Inverted Indexes.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Finding the Best of Both Worlds: Faster and More Robust Top-k Document Retrieval.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

2018
LA3: A Scalable Link- and Locality-Aware Linear Algebra-Based Graph Analytics System.
Proc. VLDB Endow., 2018

PolyHJ: A Polymorphic Main-Memory Hash Join Paradigm for Multi-Core Machines.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2014
An Overview of Interworking Architectures in Heterogeneous Wireless Networks: Objectives, Features and Challenges.
Proceedings of the Tenth International Network Conference, 2014

The design and calculation of algorithm for optimizing vertical handover performance.
Proceedings of the 9th International Symposium on Communication Systems, 2014

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

I am 4 vho: new approach to improve seamless vertical hanover in heterogeneous wireless networks.
CoRR, 2013

Survey on Media Independent Handover (MIH) Approaches in Heterogeneous Wireless Networks.
Proceedings of the European Wireless 2013, 2013


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