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In this video, I will be going through (more than) 10 research papers in the field of AI/ML with the most citations in the year 2024. 


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https://www.patreon.com/posts/most-cited-full-117965909


Llama-3: https://arxiv.org/abs/2407.21783v2
MoE: https://arxiv.org/abs/2401.04088v1
Gemma: https://arxiv.org/abs/2403.08295v4
VisionMamba: https://arxiv.org/abs/2401.09417v2
Gemini 1.5: https://arxiv.org/abs/2403.05530v4
Phi-3: https://arxiv.org/abs/2404.14219v4
Qwen-2: https://arxiv.org/abs/2407.10671v4
KAN: https://arxiv.org/abs/2404.19756v4
LLM survey: https://arxiv.org/abs/2402.06196v2
Deepseek-coder: https://arxiv.org/abs/2401.14196v2

LLM survey: https://arxiv.org/abs/2402.06196v2
Gemma: https://arxiv.org/abs/2403.08295v4
Phi-3: https://arxiv.org/abs/2404.14219v4
ICL: https://arxiv.org/abs/2405.19592v1
LLM for code gen survey: https://arxiv.org/abs/2406.00515v1
Llama-3: https://arxiv.org/abs/2407.21783v2
Gemma 2: https://arxiv.org/abs/2408.00118v3
Qwen-2-VL: https://arxiv.org/abs/2409.12191v2
GSM-Symbolic: https://arxiv.org/abs/2410.05229
Moshi: https://kyutai.org/Moshi.pdf

Mamba: https://arxiv.org/abs/2312.00752
Chatbot Arena: https://arxiv.org/abs/2403.04132
Self-Rewarding Language Models: https://arxiv.org/abs/2401.10020
Yi: https://arxiv.org/abs/2403.04652

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The post highlights the top 10 most cited AI research papers of 2024, reflecting significant progress and key trends in the AI field. It notes the rapid increase in the number of AI papers on the Archive platform and describes notable papers such as the Deep Seek Coder, Gemini 1.5 by Google, and Llama 3 by Meta. The post emphasizes the importance of citations in gauging the impact and relevance of these research papers and includes detailed descriptions of the contributions and innovations introduced by each paper.

I Read The Top 10 AI Research Papers of 2024