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    <title>3 | Liyuan Liu</title>
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      <title>3</title>
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      <title>FlashRL: 8Bit Rollouts, Full Power RL</title>
      <link>https://liyuanlucasliu.github.io/publication/liu-quant-2025/</link>
      <pubDate>Mon, 11 Aug 2025 00:00:00 +0000</pubDate>
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      <title>Improving MoE Post-Training with Precise Router Gradients</title>
      <link>https://liyuanlucasliu.github.io/publication/feng-densemixer-2025/</link>
      <pubDate>Tue, 05 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://liyuanlucasliu.github.io/publication/feng-densemixer-2025/</guid>
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    <item>
      <title>Your Efficient RL Framework Secretly Brings You Off-Policy RL Training</title>
      <link>https://liyuanlucasliu.github.io/publication/feng-off-2025/</link>
      <pubDate>Tue, 05 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://liyuanlucasliu.github.io/publication/feng-off-2025/</guid>
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    <item>
      <title>Decoder-Hybrid-Decoder Architecture for Efficient Reasoning with Long Generation</title>
      <link>https://liyuanlucasliu.github.io/publication/ren-hybrid-2025/</link>
      <pubDate>Wed, 09 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://liyuanlucasliu.github.io/publication/ren-hybrid-2025/</guid>
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    <item>
      <title>Training Language Models to Generate Quality Code with Program Analysis Feedback</title>
      <link>https://liyuanlucasliu.github.io/publication/feng-real-2025/</link>
      <pubDate>Wed, 28 May 2025 00:00:00 +0000</pubDate>
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      <title>Reinforcement Learning for Reasoning in Large Language Models with One Training Example</title>
      <link>https://liyuanlucasliu.github.io/publication/wang-onesample-2025/</link>
      <pubDate>Sun, 25 May 2025 00:00:00 +0000</pubDate>
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      <title>Text Generation Beyond Discrete Token Sampling</title>
      <link>https://liyuanlucasliu.github.io/publication/zhuang-moi-2025/</link>
      <pubDate>Tue, 20 May 2025 00:00:00 +0000</pubDate>
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      <title>LoRC: Low-Rank Compression for LLMs KV Cache with a Progressive Compression Strategy</title>
      <link>https://liyuanlucasliu.github.io/publication/zhang-loca-2024/</link>
      <pubDate>Fri, 04 Oct 2024 00:00:00 +0000</pubDate>
      <guid>https://liyuanlucasliu.github.io/publication/zhang-loca-2024/</guid>
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    <item>
      <title>Vector-ICL: In-context Learning with Continuous Vector Representations</title>
      <link>https://liyuanlucasliu.github.io/publication/zhuang-vectoricl-2025/</link>
      <pubDate>Fri, 04 Oct 2024 00:00:00 +0000</pubDate>
      <guid>https://liyuanlucasliu.github.io/publication/zhuang-vectoricl-2025/</guid>
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    <item>
      <title>GRIN: GRadient-INformed MoE</title>
      <link>https://liyuanlucasliu.github.io/publication/liu-grin-2024/</link>
      <pubDate>Wed, 18 Sep 2024 00:00:00 +0000</pubDate>
      <guid>https://liyuanlucasliu.github.io/publication/liu-grin-2024/</guid>
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    <item>
      <title>Model Tells Itself Where to Attend: Faithfulness Meets Automatic Attention Steering</title>
      <link>https://liyuanlucasliu.github.io/publication/zhang-autopasta-2024/</link>
      <pubDate>Mon, 16 Sep 2024 00:00:00 +0000</pubDate>
      <guid>https://liyuanlucasliu.github.io/publication/zhang-autopasta-2024/</guid>
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    <item>
      <title>Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone</title>
      <link>https://liyuanlucasliu.github.io/publication/abdin-phi-2024/</link>
      <pubDate>Fri, 30 Aug 2024 00:00:00 +0000</pubDate>
      <guid>https://liyuanlucasliu.github.io/publication/abdin-phi-2024/</guid>
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    <item>
      <title>Learning a Decision Tree Algorithm with Transformers</title>
      <link>https://liyuanlucasliu.github.io/publication/zhuang-autotree-2024/</link>
      <pubDate>Tue, 06 Feb 2024 00:00:00 +0000</pubDate>
      <guid>https://liyuanlucasliu.github.io/publication/zhuang-autotree-2024/</guid>
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    <item>
      <title>Sparse Backpropagation for MoE Training</title>
      <link>https://liyuanlucasliu.github.io/publication/liu-sparsemixer-2023/</link>
      <pubDate>Sun, 01 Oct 2023 00:00:00 +0000</pubDate>
      <guid>https://liyuanlucasliu.github.io/publication/liu-sparsemixer-2023/</guid>
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      <title>Piled: An identify-and-localize framework for few-shot event detection</title>
      <link>https://liyuanlucasliu.github.io/publication/li-pile-2022/</link>
      <pubDate>Tue, 01 Feb 2022 00:00:00 +0000</pubDate>
      <guid>https://liyuanlucasliu.github.io/publication/li-pile-2022/</guid>
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    <item>
      <title>UCPhrase: Unsupervised Context-aware Quality Phrase Tagging</title>
      <link>https://liyuanlucasliu.github.io/publication/gu-ucphrase-2021/</link>
      <pubDate>Sun, 01 Aug 2021 00:00:00 +0000</pubDate>
      <guid>https://liyuanlucasliu.github.io/publication/gu-ucphrase-2021/</guid>
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    <item>
      <title>Multi-head or Single-head? An Empirical Comparison for Transformer Training</title>
      <link>https://liyuanlucasliu.github.io/publication/liu-singlehead-2021/</link>
      <pubDate>Thu, 17 Jun 2021 00:00:00 +0000</pubDate>
      <guid>https://liyuanlucasliu.github.io/publication/liu-singlehead-2021/</guid>
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    <item>
      <title>On the Transformer Growth for Progressive BERT Training</title>
      <link>https://liyuanlucasliu.github.io/publication/gu-progressive-2020/</link>
      <pubDate>Thu, 01 Oct 2020 00:00:00 +0000</pubDate>
      <guid>https://liyuanlucasliu.github.io/publication/gu-progressive-2020/</guid>
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    <item>
      <title>Overfitting or Underfitting? Understand Robustness Drop in Adversarial Training</title>
      <link>https://liyuanlucasliu.github.io/publication/li-apart-2020/</link>
      <pubDate>Thu, 01 Oct 2020 00:00:00 +0000</pubDate>
      <guid>https://liyuanlucasliu.github.io/publication/li-apart-2020/</guid>
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    <item>
      <title>Very Deep Transformers for Neural Machine Translation</title>
      <link>https://liyuanlucasliu.github.io/publication/liu-deep-2020/</link>
      <pubDate>Sat, 01 Aug 2020 00:00:00 +0000</pubDate>
      <guid>https://liyuanlucasliu.github.io/publication/liu-deep-2020/</guid>
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    <item>
      <title>Raw-to-End Name Entity Recognition in Social Media</title>
      <link>https://liyuanlucasliu.github.io/publication/liu-raw-end-2019/</link>
      <pubDate>Thu, 01 Aug 2019 00:00:00 +0000</pubDate>
      <guid>https://liyuanlucasliu.github.io/publication/liu-raw-end-2019/</guid>
      <description></description>
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    <item>
      <title>Expert Finding in Heterogeneous Bibliographic Networks with Locally-trained Embeddings</title>
      <link>https://liyuanlucasliu.github.io/publication/gui-expert-2018/</link>
      <pubDate>Thu, 01 Mar 2018 00:00:00 +0000</pubDate>
      <guid>https://liyuanlucasliu.github.io/publication/gui-expert-2018/</guid>
      <description></description>
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    <item>
      <title>Contrast Subgraph Mining from Coherent Cores</title>
      <link>https://liyuanlucasliu.github.io/publication/shang-contrast-2018/</link>
      <pubDate>Thu, 01 Feb 2018 00:00:00 +0000</pubDate>
      <guid>https://liyuanlucasliu.github.io/publication/shang-contrast-2018/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Wikidata Vandalism Detection - The Loganberry Vandalism Detector at WSDM Cup 2017</title>
      <link>https://liyuanlucasliu.github.io/publication/zhu-wikidata-2017/</link>
      <pubDate>Fri, 01 Dec 2017 00:00:00 +0000</pubDate>
      <guid>https://liyuanlucasliu.github.io/publication/zhu-wikidata-2017/</guid>
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