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Noah A. Smith

2

Affiliations

Affiliations

Allen Institute for AIUniversity of Washington

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 15, 2026, 3:11 AM AMS

11

papers

1,818

total citations

papers (11)

How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources

NEURIPS 2023arXiv

Fine-Grained Human Feedback Gives Better Rewards for Language Model Training

NEURIPS 2023arXiv

TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering

RealTime QA: What's the Answer Right Now?

NEURIPS 2023arXiv

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore

In-Context Pretraining: Language Modeling Beyond Document Boundaries

Broken Tokens? Your Language Model can Secretly Handle Non-Canonical Tokenizations

NEURIPS 2025arXiv

Signal and Noise: A Framework for Reducing Uncertainty in Language Model Evaluation

NEURIPS 2025arXiv

Eval3D: Interpretable and Fine-grained Evaluation for 3D Generation

PromptCap: Prompt-Guided Image Captioning for VQA with GPT-3