---
title: "Colin Raffel — papers of 2023 — 4 papers, the most cited first"
description: "Colin Raffel — papers of 2023: 4 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Colin Raffel — papers of 2023 — 4 papers, the most cited first

4 papers · [all years of Colin Raffel](https://md.research.elamur.ai/free/en/authors/colin-raffel/#years)

**[TIES-Merging: Resolving Interference When Merging Models](https://md.research.elamur.ai/free/en/papers/yadav-2023-ties-merging-resolving-interference-merging/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Prateek Yadav, Derek Tam, Leshem Choshen, et al.*2023 · 324 citations*

**[An Empirical Survey of Data Augmentation for Limited Data Learning in NLP](https://md.research.elamur.ai/free/en/papers/chen-2023-empirical-survey-data-augmentation-limited/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jiaao Chen, Derek Tam, Colin Raffel, et al.*2023 · 254 citations*

**[Efficient Methods for Natural Language Processing: A Survey](https://md.research.elamur.ai/free/en/papers/treviso-2023-efficient-methods-natural-language-processing/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Marcos Treviso, Ji-Ung Lee, Tianchu Ji, et al.*2023 · 145 citations*

- [Efficient Online Data Mixing For Language Model Pre-Training arXiv:2312.02406](https://md.research.elamur.ai/free/en/papers/albalak-2023-efficient-online-data-mixing-language/) — Alon Albalak, Liangming Pan, Colin Raffel, et al. · 2023 · 35 citations
