PaperHub

Luke Zettlemoyer

~Luke_Zettlemoyer1

32
论文总数
16.0
年均投稿
6.6
平均评分
接收情况30/32
会议分布
ICLR
15
NeurIPS
10
COLM
6
ICML
1

发表论文 (32 篇)

202519

5.8
4

(Mis)Fitting Scaling Laws: A Survey of Scaling Law Fitting Techniques in Deep Learning

ICLR 2025Poster
6.0
4

Recycling the Web: A Method to Enhance Pre-training Data Quality and Quantity for Language Models

COLM 2025Poster
8.2
4

When Worse is Better: Navigating the Compression Generation Trade-off In Visual Tokenization

NeurIPS 2025Spotlight
7.3
5

Memory Layers at Scale

ICML 2025Poster
7.0
3

CAT: Content-Adaptive Image Tokenization

NeurIPS 2025Poster
5.8
4

Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass

ICLR 2025Poster
6.8
4

LMFusion: Adapting Pretrained Language Models for Multimodal Generation

NeurIPS 2025Poster
5.0
4

Fantastic Copyrighted Beasts and How (Not) to Generate Them

ICLR 2025Poster
5.0
5

MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts

ICLR 2025withdrawn
5.7
3

ParaPO: Aligning Language Models to Reduce Verbatim Reproduction of Pre-training Data

COLM 2025Poster
7.1
5

Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems

NeurIPS 2025Poster
6.2
5

MUSE: Machine Unlearning Six-Way Evaluation for Language Models

ICLR 2025Poster
7.6
5

Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model

ICLR 2025Oral
6.8
4

Precise Information Control in Long-Form Text Generation

NeurIPS 2025Poster
7.8
5

Meta CLIP 2: A Worldwide Scaling Recipe

NeurIPS 2025Spotlight
7.0
4

ReasonIR: Training Retrievers for Reasoning Tasks

COLM 2025Poster
5.8
6

Latent Action Pretraining from Videos

ICLR 2025Poster
9.1
4

FlexOLMo: Open Language Models for Flexible Data Use

NeurIPS 2025Spotlight
7.0
4

2 OLMo 2 Furious (COLM’s Version)

COLM 2025Poster

202413