<p>調査対象の分野: Robotics, Reasoning, Agent, Reinforcement learning, Prompt engineering, CoT, ICL, Multimodal LLM(LiDAR), Instruction turning, VQA, Data generation, Driving, Feedback, VLM, PEFT, RLHF</p>
<p>これを全部読んだらLLMを高度な知能システムに応用する研究のスタート地点に立つことができる</p>
<p><span class="embed-block zenn-embedded zenn-embedded-card"><iframe id="zenn-embedded__2625f26e450f9" src="https://embed.zenn.studio/card#zenn-embedded__2625f26e450f9" data-content="https%3A%2F%2Fpotent-twister-29f.notion.site%2Fb0fc32542854456cbde923e0adb48845%3Fv%3De2d14d2ef0c848f5a1d5b71f9977d7c5" frameborder="0" scrolling="no" loading="lazy"></iframe></span><a href="https://potent-twister-29f.notion.site/b0fc32542854456cbde923e0adb48845?v=e2d14d2ef0c848f5a1d5b71f9977d7c5" style="display:none" target="_blank" rel="nofollow noopener noreferrer">https://potent-twister-29f.notion.site/b0fc32542854456cbde923e0adb48845?v=e2d14d2ef0c848f5a1d5b71f9977d7c5</a><br style="display:none">
<img src="https://storage.googleapis.com/zenn-user-upload/0bfd46140521-20240131.png" loading="lazy" class="md-img"></p>
<p>Github<br style="display:none">
<span class="embed-block zenn-embedded zenn-embedded-card"><iframe id="zenn-embedded__56246980ab8ed" src="https://embed.zenn.studio/card#zenn-embedded__56246980ab8ed" data-content="https%3A%2F%2Fgithub.com%2Fshure-dev%2FAwesome-LLM-for-Robotics-Reasoning" frameborder="0" scrolling="no" loading="lazy"></iframe></span><a href="https://github.com/shure-dev/Awesome-LLM-for-Robotics-Reasoning" style="display:none" target="_blank" rel="nofollow noopener noreferrer">https://github.com/shure-dev/Awesome-LLM-for-Robotics-Reasoning</a></p>


LLMエージェントに関する約150本の論文をnotionのテーブルにまとめた

Shure

<p>他に面白い論文があれば教えてください</p>


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