Author

Kexin Huang

Observed name: Huang, Kexin

Institutions: University of Science and Technology of China, Peking University, Fudan University, Peking University Shenzhen Hospital, Alibaba Group (China)

Observed institutions: University of Science and Technology of China, Peking University, Fudan University, Peking University Shenzhen Hospital, Alibaba Group (China)

OpenAlex ID: A5125060582

Interactive TTS: Dynamic Speaking Style Adaptation for Expressive Speech Synthesis

2026 · Tian, Wenjie, Xia, Kangxiang, et al. · arXiv (Cornell University)

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Know When to Stop, Where to Restart: Accelerating Multi-Turn Agentic On-Policy Distillation

2026 · Gui, Zhiyu, Huang, Kexin, et al. · arXiv (Cornell University)

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CuteTTS: Efficient and High-Quality Speech Synthesis via Autoregressive Modeling of Continuous Latents

2026 · Zhang, Yuqian, Shi, Yao, et al. · arXiv (Cornell University)

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ARMOR: Stabilizing On-Policy LLM RL with Off-Policy Anchor Samples

2026 · Huang, Kexin, Wu, Junkang, et al. · arXiv (Cornell University)

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Experience Augmented Policy Optimization for LLM Reasoning

2026 · Lu, Jinda, Huang, Kexin, et al. · arXiv (Cornell University)

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Probing the Safety Robustness of LLMs in Latent Space

2026 · Association for Computational Linguistics 2026, Gu, Tianle, et al. · Underline Science Inc.

WESR: A Benchmark and Strong Baseline for Word-level Event-Speech Recognition

2026 · Association for Computational Linguistics 2026, Cheng, Qinyuan, et al. · Underline Science Inc.

MOSS-Audio Technical Report

2026 · Yang, Chen, Yu, Chufan, et al. · arXiv (Cornell University)

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Clipping Bottleneck: Stabilizing RLVR via Stochastic Recovery of Near-Boundary Signals

2026 · Yang, Shuo, Lu, Jinda, et al. · arXiv (Cornell University)

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One-Way Policy Optimization for Self-Evolving LLMs

2026 · Yang, Shuo, Lu, Jinda, et al. · arXiv (Cornell University)

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MOSS-VoiceGenerator: Create Realistic Voices with Natural Language Descriptions

2026 · Huang, Kexin, Fan, Liwei, et al. · arXiv (Cornell University)

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On the Direction of RLVR Updates for LLM Reasoning: Identification and Exploitation

2026 · Huang, Kexin, Meng, Haoming, et al. · arXiv (Cornell University)

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Sparse but Critical: A Token-Level Analysis of Distributional Shifts in RLVR Fine-Tuning of LLMs

2026 · Meng, Haoming, Huang, Kexin, et al. · arXiv (Cornell University)

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MOSS-TTSD: Text to Spoken Dialogue Generation

2026 · Zhang, Yuqian, Yu, Donghua, et al. · arXiv (Cornell University)

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FIPO: Eliciting Deep Reasoning with Future-KL Influenced Policy Optimization

2026 · Ma, Chiyu, Yang, Shuo, et al. · arXiv (Cornell University)

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MOSS-TTS Technical Report

2026 · Gong, Yitian, Jiang, Botian, et al. · arXiv (Cornell University)

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MOSS-Audio-Tokenizer: Scaling Audio Tokenizers for Future Audio Foundation Models

2026 · Gong, Yitian, Chen, Kuangwei, et al. · arXiv (Cornell University)

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From Sparse Decisions to Dense Reasoning: A Multi-attribute Trajectory Paradigm for Multimodal Moderation

2026 · Gu, Tianle, Huang, Kexin, et al. · arXiv (Cornell University)

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WESR: Scaling and Evaluating Word-level Event-Speech Recognition

2026 · Yang, Chenchen, Huang, Kexin, et al. · arXiv (Cornell University)

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Works count: 19

Citation count:

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