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Luke Zettlemoyer
Luke Zettlemoyer
2
Affiliations
Affiliations
Facebook
University of Washington
15
papers
9,791
total citations
papers (15)
QLoRA: Efficient Finetuning of Quantized LLMs
NEURIPS 2023
arXiv
3,863
citations
Toolformer: Language Models Can Teach Themselves to Use Tools
NEURIPS 2023
arXiv
2,880
citations
LIMA: Less Is More for Alignment
NEURIPS 2023
arXiv
1,168
citations
ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks
CVPR 2020
arXiv
959
citations
Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models
NEURIPS 2022
arXiv
246
citations
Pre-training via Paraphrasing
NEURIPS 2020
arXiv
165
citations
MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers
NEURIPS 2023
arXiv
145
citations
Luna: Linear Unified Nested Attention
NEURIPS 2021
arXiv
134
citations
SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore
ICLR 2024
arXiv
88
citations
Stable and low-precision training for large-scale vision-language models
NEURIPS 2023
arXiv
71
citations
CiT: Curation in Training for Effective Vision-Language Data
ICCV 2023
arXiv
31
citations
MoDE: CLIP Data Experts via Clustering
CVPR 2024
arXiv
25
citations
Improving Policy Learning via Language Dynamics Distillation
NEURIPS 2022
arXiv
16
citations
GPT3.int8(): 8-bit Matrix Multiplication for Transformers at Scale
NEURIPS 2022
0
citations
SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark
NEURIPS 2021
0
citations
