XL
Xingtai Lv
cs.CLcs.AIcs.LGq-bio.QM
On Valency
published · living versionsW_9dvv4xmd·v1 · currentpublished
Democratizing Robot-Use Agents: A Unified Harness with Open Models
with Jiarui Yuan, Yuxin Zuo, Xiaoyu Huang, Wenbo Zhang +23
1 version
Preprints & journals
20 papers in the corpus · 2023–2026Improving Test-Time Scaling with Adaptive Looped Transformers2609.35748v1 · Yichen You, Tianyu Fu, Aosong Feng et al.2026 · 0 citationsarXiv
Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering2607.28568v1 · Junlin Yang, Che Jiang, Yu Fu et al.2026 · 0 citationsarXiv
Post-Trained MoE Can Skip Half Experts via Self-Distillation2605.18643v2 · Xingtai Lv, Li Sheng, Kaiyan Zhang et al.2026 · 0 citationsarXiv
How Far Can Unsupervised RLVR Scale LLM Training?2603.08660v1 · Bingxiang He, Yuxin Zuo, Zeyuan Liu et al.2026 · 0 citationsarXiv
FlowRL: Matching Reward Distributions for LLM Reasoning2509.15207v3 · Xuekai Zhu, Daixuan Cheng, Dinghuai Zhang et al.2025 · 1 citationarXiv
A Survey of Reinforcement Learning for Large Reasoning Models2509.08827v3 · Kaiyan Zhang, Yuxin Zuo, Bingxiang He et al.2025 · 3 citationsarXiv
Towards a Unified View of Large Language Model Post-Training2509.04419v2 · Xingtai Lv, Yuxin Zuo, Youbang Sun et al.2025 · 0 citationsarXiv
Automating Exploratory Multiomics Research via Language Models2506.07591v1 · Shang Qu, Ning Ding, Linhai Xie et al.2025 · 0 citationsarXiv
Technologies on Effectiveness and Efficiency: A Survey of State Spaces Models2503.11224v1 · Xingtai Lv, Youbang Sun, Kaiyan Zhang et al.2025 · 0 citationsarXiv
Process Reinforcement through Implicit Rewards2502.01456v2 · Ganqu Cui, Lifan Yuan, Zefan Wang et al.2025 · 3 citationsarXiv
Fourier Position Embedding: Enhancing Attention's Periodic Extension for Length Generalization2412.17739v4 · Ermo Hua, Che Jiang, Xingtai Lv et al.2024 · 2 citationsarXiv
How to Synthesize Text Data without Model Collapse?2412.14689v3 · Xuekai Zhu, Daixuan Cheng, Hengli Li et al.2024 · 0 citationsarXiv
Automating Exploratory Proteomics Research via Language Models2411.03743v1 · Ning Ding, Shang Qu, Linhai Xie et al.2024 · 0 citationsarXiv
Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention2411.02063v1 · Xingtai Lv, Ning Ding, Kaiyan Zhang et al.2024 · 2 citationsarXiv
Fast and Slow Generating: An Empirical Study on Large and Small Language Models Collaborative Decoding2406.12295v2 · Kaiyan Zhang, Jianyu Wang, Ning Ding et al.2024 · 3 citationsarXiv
UltraMedical: Building Specialized Generalists in Biomedicine2406.03949v2 · Kaiyan Zhang, Sihang Zeng, Ermo Hua et al.2024 · 24 citationsarXiv
Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process2405.11870v3 · Ermo Hua, Biqing Qi, Kaiyan Zhang et al.2024 · 1 citationarXiv
Mastering Text, Code and Math Simultaneously via Fusing Highly Specialized Language Models2403.08281v4 · Ning Ding, Yulin Chen, Ganqu Cui et al.2024 · 0 citationsarXiv
Sparse Low-rank Adaptation of Pre-trained Language Models2311.11696v1 · Ning Ding, Xingtai Lv, Qiaosen Wang et al.2023 · 62 citationsarXiv
OpenDelta: A Plug-and-play Library for Parameter-efficient Adaptation of Pre-trained Models2307.03084v1 · Shengding Hu, Ning Ding, Weilin Zhao et al.2023 · 6 citationsarXiv
Career total: 27 works. 20 are in this corpus.
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