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	<title>FireRed</title>
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		<h1>FireRed（by <img src="pics/xiaohongshu.png" style="margin: 0px; width: 103px; padding-bottom: 8px;"> Super Intelligence Team）</h1>
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		<br><br>
		<div><img src="pics/firered.png" alt="Left image" class="left" style="margin-left: 1%; margin-right: 2%; max-width: 18%;"></div>
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			<p class="intro_text"><b>Introduction: </b> FireRed is the model series developed by Xiaohongshu's Super Intelligence team, featuring FireRed-ASR, FireRed-TTS, FireRed-Chat, FireRed-OCR, FireRed-Image, and FireRed-OpenStoryline.</p>

			<p class="intro_text">Deriving from the saying "A single spark can start a prairie fire", the name FireRed represents our vision: to spread our SOTA capabilities—honed in real-world scenarios—like sparks across the wilderness, igniting the imagination of developers worldwide to reshape the future of AI together.</p>

			<p class="intro_text">The Super Intelligence team comprises fundamental technology laboratories, including the Audio Lab, Vision Lab, and Foundation Lab.</p>

			<p class="intro_text">As the company's core technical engine for future content forms and General Intelligence, the team aims to build an industry-leading multimodal foundation model system with sustainable, evolving capabilities. We consistently benchmark industry SOTA across content understanding, vision and multimodal, image generation and editing, speech understanding and generation, Omni Models, and effect rendering, while prioritizing the scalability and practical deployment of these models in complex business scenarios. Responsible for core R&D in content creation and publishing, we empower business lines such as Recommendation, Search, Video & Live Streaming, E-commerce, Advertising, and International Growth, establishing cutting-edge technology as the foundation for long-term growth and innovation.</p>

			<p class="intro_text">Over the past two years, we have excelled in both academia and industry, publishing over 40 top-tier papers and releasing influential open-source projects like InstantID, StoryMaker, FireRedTTS, and FireRedASR. On the product side, we successfully incubated hit features such as Audio Comments（语音评论）, Text Posters（文生图大字报）, Long Articles（长文）, and Full-Screen HD（满屏高清）. We build frontier models while translating technology into impactful products. If you are passionate about general intelligence, cutting-edge models, and creating real-world impact, we welcome you to join us!</p>
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	<h2 id="OpenSourceProjects" style="text-align: center;">Opensource Projects</h2>
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					<b>FireRedChat: A Fully Self-Hosted Solution for Full-Duplex Voice Interaction</b>
					<br>
					Junjie Chen, Yao Hu, Junjie Li, Kangyue Li, Kun Liu, Wenpeng Li, Xu Li, Ziyuan Li, Feiyu Shen, Xu Tang, Manzhen Wei, Yichen Wu, Fenglong Xie, Kaituo Xu, Kun Xie
					<br>
					<a href="https://arxiv.org/abs/2509.06502" class="footnote_btn"><b>ARXIV</b></a>
					<a href="https://github.com/FireRedTeam/FireRedChat" class="footnote_btn"><b>CODE</b></a>
					<a href="https://fireredteam.github.io/demos/firered_chat/" class="footnote_btn"><b>DEMO</b></a>
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	<h2 id="OpenSourceProjects" style="text-align: center;">Publications</h2>
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					<b>HyMiRec: A Hybrid Multi-interest Learning Framework for LLM-based Sequential Recommendation</b>
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					Jingyi Zhou, Cheng Chen, Kai Zuo, Manjie Xu, Zhendong Fu, Yibo Chen, Xu Tang, Yao Hu
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					<i>(WWW) The ACM Web Conference</i>
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					<a href="https://arxiv.org/pdf/2510.13738" class="footnote_btn"><b>ARXIV</b></a>
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	<h2 id="Highlights" style="text-align: center;">News</h2>
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		<b>[2025.4.14]</b> We are releasing a new streamable TTS model <a href="demos/firered_tts_1s/index.html">[demo]</a>
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		<b>[2025.1.24]</b> We are releasing a new ASR model <a href="demos/firered_asr/index.html">[demo]</a>
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		<b>[2024.9.5]</b> We are releasing a new TTS model <a href="demos/firered_tts/index.html">[demo]</a>
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		<b>[2024.1.16]</b> An official introudction of auido intelligence team of Xiaohongshu <a href="https://mp.weixin.qq.com/s/ZFBHqZkKnmXBs3bpG2gx7A">[link]</a>
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		<b>[2023.10.13]</b> A technicial talk has been given on live at SpeechHome and Redtech <a href="https://mp.weixin.qq.com/s/32l4sD3osgRLEppZsP9Q4w">[link]</a>
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	<p style="text-align: left;" >
		<b>[2023.9.1]</b> We rank 1st in spoke task measursing speaker similarity at Blizzard Challenge 2023 <a href="https://feng-long.github.io/post/bc-fireredtts/ ">[link]</a>
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		<b><a href="https://arxiv.org/abs/2406.02430">Paper</a></b>, XXX, XXX
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