Omar Khattab
16 papers · 2021–2025 · 6 conferences · across top CS/AI conferences
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EMNLP (5)
NAACL (4)
ICLR (3)
ACL (2)
EACL (1)
NIPS (1)
Top co-authors
Research topics
Keywords
information retrieval
(7)
retrieval-augmented generation
(3)
language model
(3)
prompt optimization
(3)
passage retrieval
(2)
question answering
(2)
large language model
(2)
neural information retrieval
(2)
neural retrieval
(2)
machine translation
(1)
privacy preservation
(1)
knowledge distillation
(1)
weak supervision
(1)
dense retrieval
(1)
zero-shot learning
(1)
prompt engineering
(1)
domain adaptation
(1)
ensemble model
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semantic similarity
(1)
instruction tuning
(1)
Papers
PAPILLON: Privacy Preservation from Internet-based and Local Language Model Ensembles
NAACL 2025
LangProBe: a Language Program Benchmark
EMNLP 2025
Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval
ICLR 2025
Backtracing: Retrieving the Cause of the Query
EACL 2024
Problem-Oriented Segmentation and Retrieval: Case Study on Tutoring Conversations
EMNLP 2024
Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models
NAACL 2024
DSPy: Compiling Declarative Language Model Calls into State-of-the-Art Pipelines
ICLR 2024
ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems
NAACL 2024
IndicIRSuite: Multilingual Dataset and Neural Information Models for Indian Languages
ACL 2024
Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs
EMNLP 2024
Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together
EMNLP 2024
UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers
EMNLP 2023
Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking
ACL 2023
Hindsight: Posterior-guided training of retrievers for improved open-ended generation
ICLR 2022
ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction
NAACL 2022
Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval
NIPS 2021