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feat: add four research papers to publications
- Step-Audio: Unified Understanding and Generation in Intelligent Speech Interaction (arXiv:2502.11946) - Step-Audio 2 Technical Report (arXiv:2507.16632) - Step-Audio-AQAA: a Fully End-to-End Expressive Large Audio Language Model (arXiv:2506.08967) - Chronological Thinking in Full-Duplex Spoken Dialogue Language Models (arXiv:2510.05150) - Remove example publications
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content/_index.md

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avatar:
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size: medium # Options: small (150px), medium (200px, default), large (320px), xl (400px), xxl (500px)
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shape: circle # Options: circle (default), square, rounded
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title: '📚 My Research'
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subtitle: ''
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text: |-
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I am an Audio LLM Researcher at StepFun, specializing in advanced speech technologies. My research focuses on speech understanding, interactive speech systems, the unification of understanding and generation, and the application of reinforcement learning within the speech domain.
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# content:
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# title: '📚 My Research'
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# subtitle: ''
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# I am an Audio LLM Researcher at StepFun, specializing in advanced speech technologies. My research focuses on speech understanding, interactive speech systems, the unification of understanding and generation, and the application of reinforcement learning within the speech domain.
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I have been a key contributor to several pioneering large-scale speech models, including Step-Audio, Step-Audio 2, Step-MPS, and Step-Audio R1, which have significantly advanced the frontiers of speech AI.
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# I have been a key contributor to several pioneering large-scale speech models, including Step-Audio, Step-Audio 2, Step-MPS, and Step-Audio R1, which have significantly advanced the frontiers of speech AI.
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Feel free to reach out for collaboration opportunities! 😃
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# Feel free to reach out for collaboration opportunities! 😃
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# columns: '1'
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title: 'Chronological Thinking in Full-Duplex Spoken Dialogue Language Models'
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authors:
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- admin
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date: '2025-10-01T00:00:00Z'
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publication_types: ['article']
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publication: arXiv preprint
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publication_short: arXiv
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abstract: This work explores chronological thinking capabilities in full-duplex spoken dialogue language models, enabling more natural and coherent conversational interactions.
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summary: Exploring chronological thinking in full-duplex spoken dialogue language models.
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tags:
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- Audio LLM
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- Full-Duplex
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- Spoken Dialogue
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- Language Models
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featured: true
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links:
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- type: pdf
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url: https://arxiv.org/abs/2510.05150
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- type: source
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url: https://arxiv.org/abs/2510.05150
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url_pdf: 'https://arxiv.org/pdf/2510.05150'
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url_code: ''
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url_dataset: ''
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url_poster: ''
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url_project: ''
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url_slides: ''
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url_source: 'https://arxiv.org/abs/2510.05150'
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url_video: ''
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---
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