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‎.jekyll-cache/Jekyll/Cache/Jekyll--Cache/b7/9606fb3afea5bd1609ed40b622142f1c98125abcfe89a76a661b0e8e343910‎

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‎_config.yml‎

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‎_site/index.html‎

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<a href="#talks">Talks<span> &nbsp;/&nbsp; </span></a>
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<a href="#teaching">Teaching Experiences<span> &nbsp;/&nbsp; </span></a>
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<a href="#awards">Awards<span> &nbsp;/&nbsp; </span></a>
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<a href="#intern">Intern Mentorship<span> &nbsp;/&nbsp; </span></a>
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Bio
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<p> I was working at xAI to help launch Grok 4, contributing to DeepSearch, Search Agents, X Agents and @grok, covering human and synthetic data as well as evaluation and products. I also worked as a scientist at Amazon Generative Foundational AI, leading agentic RL training and co-leading post-training. As a founding member, I helped build LLMs from scratch for Amazon (i.e. <a href="https://www.aboutamazon.com/news/retail/amazon-rufus" style="color:#4133ff;">Rufus</a>), focusing on multiple aspects of LLMs <a href="https://jingfengyang.github.io/gpt" style="color:#4133ff;">[Blog: Reproduction and Usage of GPT3/ChatGPT]</a>, including 1) pretraining (data, infrastructure, scaling laws) 2) post-training (instruction tuning, human and AI preference learning, reasoning and agentic RL) 3) evaluation 4) language agents (tool using, planning and reasoning, long-context handling) 5) alignment and AI safety <a href="https://jingfengyang.github.io/safety" style="color:#4133ff;">[Blog: AI Safety: Why, What, and How]</a>. </p>
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<p> I was fortunately working at xAI to help launch Grok 4, contributing to DeepSearch, Search Agents, X Agents and @grok. I also worked as a scientist at Amazon Generative Foundational AI, leading agentic RL training and co-leading post-training. As a founding member, I helped build LLMs from scratch for Amazon (i.e. <a href="https://www.aboutamazon.com/news/retail/amazon-rufus" style="color:#4133ff;">Rufus</a>), contributing to multiple aspects of LLMs <a href="https://jingfengyang.github.io/gpt" style="color:#4133ff;">[Blog: Reproduction and Usage of GPT3/ChatGPT]</a>, including 1) pretraining (data, infrastructure, scaling laws) 2) post-training (instruction tuning, human and AI preference learning, reasoning and agentic RL) 3) evaluation 4) language agents (tool using, planning and reasoning, long-context handling) 5) alignment and AI safety <a href="https://jingfengyang.github.io/safety" style="color:#4133ff;">[Blog: AI Safety: Why, What, and How]</a>. </p>
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<p> I received Computer Science and Biological Science degrees from <a href="https://www.gatech.edu/" style="color:#4133ff;">Georgia Tech</a> and <a href="http://english.pku.edu.cn/" style="color:#4133ff;">Peking University</a>. My advisor was Prof. <a href="https://cs.stanford.edu/~diyiy/" style="color:#4133ff;">Diyi Yang</a>, currently at <a href="https://nlp.stanford.edu/people/" style="color:#4133ff;">Stanford University</a>. I also did research at <a href="https://research.google/" style="color:#4133ff;">Google</a> and <a href="https://www.microsoft.com/en-us/research/lab/microsoft-research-asia/" style="color:#4133ff;">Microsoft</a> previously.</p>
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Other Publications and Preprints
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<li>xAI Team. Grok 4. 2025. <a href="https://x.ai/news/grok-4" style="color:#4133ff;">[Blog]</a></li>
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<li>Yuchen Zhuang, <b>Jingfeng Yang</b> et al. 2025. Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training. In NAACL 2025. <a href="https://aclanthology.org/2025.naacl-long.308.pdf" style="color:#4133ff;">[Paper]</a></li>
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<li>Zilong Wang, <b>Jingfeng Yang</b>, Sreyashi Nag, Samarth Varshney, Xianfeng Tang, Haoming Jiang, Jingbo Shang, Sheikh Muhammad Sarwar. 2025. RRO: LLM Agent Optimization Through Rising Reward Trajectories. In COLM 2025. <a href="https://arxiv.org/pdf/2505.20737" style="color:#4133ff;">[Paper]</a></li>
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<li>Kewei Cheng, <b>Jingfeng Yang</b>, Haoming Jiang, Zhengyang Wang, Binxuan Huang, Ruirui Li, Shiyang Li, Zheng Li, Yifan Gao, Xian Li, Bing Yin, Yizhou Sun. 2024. <b>Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs.</b> ACL 2024 NLRSE Workshop. <a href="https://arxiv.org/abs/2408.00114v1" style="color:#4133ff;">[Paper]</a> <a href="https://www.forbes.com/sites/lanceeliot/2024/08/11/on-whether-generative-ai-and-large-language-models-are-better-at-inductive-reasoning-or-deductive-reasoning-and-what-this-foretells-about-the-future-of-ai/" style="color:#4133ff;">[Forbes Media Coverage]</a> </li>
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<li>Hongye Jin, Xiaotian Han, <b>Jingfeng Yang</b>, Zhimeng Jiang, Zirui Liu, Chia-Yuan Chang, Huiyuan Chen, Xia Hu. 2024. <b>LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning.</b> ICML 2024. <a href="https://arxiv.org/pdf/2401.01325.pdf" style="color:#4133ff;">[Paper]</a> <a href="https://x.com/ylecun/status/1748526916104020125" style="color:#4133ff;">[Yann LeCun's Post]</a> <a href="https://github.com/datamllab/LongLM" style="color:#4133ff;">[Code]</a> <a class="github-button" href="https://github.com/datamllab/LongLM" data-color-scheme="no-preference: light; light: light; dark: dark;" data-icon="octicon-star" data-show-count="true" aria-label="Star buttons/github-buttons on GitHub">Star</a> </li>
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<li>Yu Wang, Yifan Gao, Xiusi Chen, Haoming Jiang, Shiyang Li, <b>Jingfeng Yang</b>, Qingyu Yin, Zheng Li, Xian Li, Bing Yin, Jingbo Shang, Julian McAuley. 2024. <b>MEMORYLLM: Towards Self-Updatable Large Language Models.</b> ICML 2024. <a href="https://arxiv.org/abs/2402.04624" style="color:#4133ff;">[Paper]</a> </li>
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Intern Mentorship
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<p><a href="https://night-chen.github.io/" style="color:#4133ff;">Yuchen Zhuang</a>, Georgia Tech. Summer 2024.</p>
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<p><a href="https://zilongwang.me/" style="color:#4133ff;">Zilong Wang</a>, UCSD. Summer 2024.</p>
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<p><a href="https://mooler0410.github.io/puguJin/" style="color:#4133ff;">Hongye Jin</a>, Texas A&M University. Summer 2024.</p>
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<p><a href="https://vivian1993.github.io/" style="color:#4133ff;">Kewei Cheng</a>, UCLA. Fall 2023.</p>
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<p><a href="https://ahxt.github.io/" style="color:#4133ff;">Xiaotian Han</a>, Texas A&M University. Summer 2023.</p>
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<p><a href="https://yuwang.org/" style="color:#4133ff;">Yu Wang</a>, UCSD. Summer 2023.</p>
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<p><a href="https://www.cse.msu.edu/~wenhongz/" style="color:#4133ff;">Hongzhi Wen</a>, Michigan State University. Summer 2023.</p>
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<p><a href="http://www.zhimengjiang.com/" style="color:#4133ff;">Zhimeng Jiang</a>, Texas A&M University. Fall 2022.</p>
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<p><a href="https://www.cs.toronto.edu/~zining/" style="color:#4133ff;">Zining Zhu</a>, University of Toronto. Summer 2022.</p>
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<p><a href="https://wjerry5.github.io/" style="color:#4133ff;">Ruijie Wang</a>, UIUC. Summer 2022.</p>
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<p><a href="https://jeffhj.github.io/" style="color:#4133ff;">Jie Huang</a>, UIUC. Summer 2022.</p>
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<p><a href="https://seanliu96.github.io/" style="color:#4133ff;">Xin Liu</a>, HKUST. Summer 2022.</p>
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