---
title: "Niklas Muennighoff — papers of 2024 — Elamur Research"
description: "Niklas Muennighoff — papers of 2024: 7 papers on Elamur Research, the most cited first — what each work is about in our own words."
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---
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# Niklas Muennighoff — papers of 2024 — Elamur Research

7 papers · [all years of Niklas Muennighoff](https://md.research.elamur.ai/free/en/authors/niklas-muennighoff/#years)

**[Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models](https://md.research.elamur.ai/free/en/papers/deitke-2024-molmo-pixmo-open-weights-open/) [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)**Matt Deitke, Christopher Clark, Sangho Lee, et al.*2024 · 216 citations*

- [Generative Representational Instruction Tuning arXiv:2402.09906](https://md.research.elamur.ai/free/en/papers/muennighoff-2024-generative-representational-instruction-tuning/) — Niklas Muennighoff, Hongjin Su, Liang Wang, et al. · 2024 · 172 citations
- [A Survey on Data Selection for Language Models arXiv:2402.16827](https://md.research.elamur.ai/free/en/papers/albalak-2024-survey-data-selection-language-models/) — Alon Albalak, Yanai Elazar, Sang Michael Xie, et al. · 2024 · 95 citations
- [BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval arXiv:2407.12883](https://md.research.elamur.ai/free/en/papers/su-2024-bright-realistic-challenging-benchmark-reasoning/) — Hongjin Su, Howard Yen, Mengzhou Xia, et al. · 2024 · 77 citations
- [RegMix: Data Mixture as Regression for Language Model Pre-training arXiv:2407.01492](https://md.research.elamur.ai/free/en/papers/liu-2024-regmix-data-mixture-regression-language/) — Qian Liu, Xiaosen Zheng, Niklas Muennighoff, et al. · 2024 · 57 citations
- [Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies arXiv:2407.13623](https://md.research.elamur.ai/free/en/papers/tao-2024-scaling-laws-vocabulary-larger-models/) — Chaofan Tao, Qian Liu, Longxu Dou, et al. · 2024 · 46 citations
- [Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models arXiv:2401.00788](https://md.research.elamur.ai/free/en/papers/zhuo-2024-astraios-parameter-efficient-instruction-tuning/) — Terry Yue Zhuo, Armel Zebaze, Nitchakarn Suppattarachai, et al. · 2024 · 21 citations