---
title: "Mohammad Shoeybi — papers of 2024 — Elamur Research"
description: "Mohammad Shoeybi — papers of 2024: 5 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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# Mohammad Shoeybi — papers of 2024 — Elamur Research

5 papers · [all years of Mohammad Shoeybi](https://md.research.elamur.ai/free/en/authors/mohammad-shoeybi/#years)

- [NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models arXiv:2405.17428](https://md.research.elamur.ai/free/en/papers/lee-2024-nv-embed-improved-techniques-training/) — Chankyu Lee, Rajarshi Roy, Mengyao Xu, et al. · 2024 · 222 citations

**[ChatQA: Surpassing GPT-4 on Conversational QA and RAG](https://md.research.elamur.ai/free/en/papers/liu-2024-chatqa-surpassing-gpt-4-conversational/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Zihan Liu, Wei Ping, Rajarshi Roy, et al.*2024 · 58 citations*

- [NVLM: Open Frontier-Class Multimodal LLMs arXiv:2409.11402](https://md.research.elamur.ai/free/en/papers/dai-2024-nvlm-open-frontier-class-multimodal/) — Wenliang Dai, Nayeon Lee, Boxin Wang, et al. · 2024 · 44 citations
- [Reuse, Don't Retrain: A Recipe for Continued Pretraining of Language Models arXiv:2407.07263](https://md.research.elamur.ai/free/en/papers/parmar-2024-reuse-don-t-retrain-recipe/) — Jupinder Parmar, Sanjev Satheesh, Mostofa Patwary, et al. · 2024 · 36 citations
- [Maximize Your Data's Potential: Enhancing LLM Accuracy with Two-Phase Pretraining arXiv:2412.15285](https://md.research.elamur.ai/free/en/papers/feng-2024-maximize-data-s-potential-enhancing/) — Steven Feng, Shrimai Prabhumoye, Kezhi Kong, et al. · 2024 · 12 citations