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Noah Smith

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, 1:13 AM AMS

8

papers

883

total citations

papers (8)

Tulu 3: Pushing Frontiers in Open Language Model Post-Training

MUSE: Machine Unlearning Six-Way Evaluation for Language Models

What's In My Big Data?

SuperBPE: Space Travel for Language Models

Establishing Task Scaling Laws via Compute-Efficient Model Ladders

DataDecide: How to Predict Best Pretraining Data with Small Experiments

On Linear Representations and Pretraining Data Frequency in Language Models

Fluid Language Model Benchmarking