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pratyushmaini 

authored 5 papers 5 days ago

Model-tuning Via Prompts Makes NLP Models Adversarially Robust

Paper • 2303.07320 • Published Mar 13, 2023

Scaling Laws for Data Filtering -- Data Curation cannot be Compute Agnostic

Paper • 2404.07177 • Published Apr 10, 2024

Rethinking LLM Memorization through the Lens of Adversarial Compression

Paper • 2404.15146 • Published Apr 23, 2024

OpenUnlearning: Accelerating LLM Unlearning via Unified Benchmarking of Methods and Metrics

Paper • 2506.12618 • Published Jun 14

BeyondWeb: Lessons from Scaling Synthetic Data for Trillion-scale Pretraining

Paper • 2508.10975 • Published 9 days ago • 53

ricardomonti08 

authored a paper 5 days ago

BeyondWeb: Lessons from Scaling Synthetic Data for Trillion-scale Pretraining

Paper • 2508.10975 • Published 9 days ago • 53

pratyushmaini 

authored a paper about 1 year ago

Understanding Hallucinations in Diffusion Models through Mode Interpolation

Paper • 2406.09358 • Published Jun 13, 2024 • 5

mleavitt 

authored a paper about 1 year ago

Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models

Paper • 2405.20541 • Published May 30, 2024 • 24

pratyushmaini 

authored 2 papers over 1 year ago

Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Paper • 2401.16380 • Published Jan 29, 2024 • 51

TOFU: A Task of Fictitious Unlearning for LLMs

Paper • 2401.06121 • Published Jan 11, 2024 • 21