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Luke Zettlemoyer — most-cited papers & profile · Large Language Models
← authors
·
overview
Luke Zettlemoyer
14
papers ·
40
citations ·
84
h-index
University of Washington · University of Chicago · Seattle University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
RA-DIT: Retrieval-Augmented Dual Instruction Tuning
2023 · 15 citations
LIMA: Less Is More for Alignment
2023 · 12 citations
Trusting Your Evidence: Hallucinate Less with Context-aware Decoding
2023 · 7 citations
Scaling Retrieval-Based Language Models with a Trillion-Token Datastore
2024 · 2 citations
Olmo 3
2025
Shepherd: A Critic for Language Model Generation
2023
Self-Alignment with Instruction Backtranslation
2023
In-Context Pretraining: Language Modeling Beyond Document Boundaries
2023
Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length
2024
Better Alignment with Instruction Back-and-Forth Translation
2024
Top co-authors
Mike Lewis
· 5
Chunting Zhou
· 4
Weijia Shi
· 4
Omer Levy
· 3
Ping Yu
· 3
Akari Asai
· 2
Jason Weston
· 2
Lili Yu
· 2
Maria Lomeli
· 2
Noah A. Smith
· 2
Pang Wei Koh
· 2
Rulin Shao
· 2
Topics
Training Techniques
Evaluation
Fine-Tuning
RAG
In-Context Learning
Safety & Alignment
Code
Model Architecture
Efficiency
Reinforcement Learning