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Beidi Chen

As seen in: arXiv, MDPI, Cell Reports Medicine
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Articles by Beidi Chen

Jackpot: Optimal Budgeted Rejection Sampling for Extreme Actor-Policy Mismatch Reinforcement Learning

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By Hongyi Liu, Yang Zhou, Haizhong Zheng, Beidi Chen
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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Cardiolipin-mimic lipid nanoparticles without antibody modification delivered senolytic in vivo CAR-T therapy for inflamm-aging

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By Zihan Zhang, Bin Ma, Bin Guo Ma, Buyao Li, Zhiwei Li, Min Gao, Hailong Zhao, Rui Peng, Jiang Hu, Yu Wang, Wei You, Xun Gui, Rui Wang, Xiaoqing Hu, Beidi Chen, Yuanjie Zhang, yanyun Hao, Xiaolin Sun, Liang Zhang, Ming Lu, Demin Zhou, Yun Yang, Mi Deng, Lei Miao, Peishi Rao
| Cell Reports Medicine Verified
Keywords chimeric antigen receptor: CAR circular mRNA T cells uPAR senolytic aging-inflamed disorders Introduction Over the past several decades, chimeric antigen receptor (CAR) T cell therapy has revolutionized the treatment of previously incurable hematological malignancies, including lymphoma, leukemia, and multiple myeloma.1 The remarkable specificity and potent cytotoxicity of CAR-T cells have sparked interest in exploring non-cancer applications, though their clinical utility remains...
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It Takes Two: On the Seamlessness between Reward and Policy Model in RLHF

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By Lingfeng Shen, Xinyu Yang, Beidi Chen, Weiting Tan
| arXiv
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[2405.06394] Memory Mosaics

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By Niklas Nolte, Beidi Chen, Leon Bottou, Ranajoy Sadhukhan
| arXiv
arXiv:2405.06394 (cs) View PDF HTML (experimental) Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Neural and Evolutionary Computing (cs.NE) Cite as: arXiv:2405.06394 [cs.LG] (or arXiv:2405.06394v1 [cs.LG] for this version) https://doi.org/10.48550/arXiv.2405.06394 Submission history From: Léon Bottou [ view email] [v1] Fri, 10 May 2024 11:08:20 UTC (1,868 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Litmaps Toggle Litmaps (What is...
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Paper page - Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length

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By Xiaomeng Yang, Wenhan Xiong, Beidi Chen, Xuezhe Ma
| huggingface.co
Papers Published on Apr 12 · Featured in Daily Papers on Apr 16 Abstract The quadratic complexity and weak length extrapolation of Transformers limits their ability to scale to long sequences, and while sub-quadratic solutions like linear attention and state space models exist, they empirically underperform Transformers in pretraining efficiency and downstream task accuracy. We introduce Megalodon, a neural architecture for efficient sequence modeling with unlimited context length.
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Numerical Simulation on Laser Shock Peening of B4C-TiB2 Composite Ceramics

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By Xin Wang, Beidi Chen, fan zhang, Lisheng Liu
| MDPI
3. Simulation Results and Analysis 3.1. Analysis of stress WAVE Propagation Process When a laser-induced high-pressure plasma shock wave acts on the surface of the sample, a stress wave is generated inside it and results in an ultra-high strain rate dynamic response from the specimen.
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Development of a Diagnostic Model Focusing on Esophageal Dysmotility in Patients with Systemic Sclerosis

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By Jing Chai, Peiling Liu, Liyi Dai, Beidi Chen
| MDPI
Open AccessArticle by Peiling Liu 1,†, Jing Chai 1,†, Liyi Dai 1, Beidi Chen 1, Jinxia Zhao 1, Ming Lu 2,3, Lin Zeng 4, Zhiwei Xia 5 and Rong Mu 1,* 1 Department of Rheumatology and Immunology, Peking University Third Hospital, No. 49 Huayuan North Road, Beijing 100191, China 2 Department of Respiratory and Critical Care Medicine, Peking University Third Hospital, Beijing 100191, China 3 Department of Infectious Diseases, Peking University Third Hospital, Beijing 100191, China 4 Research...
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Schedule

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By Graham Neubig, Beidi Chen
DateTopic 27-Aug 29-Aug Representing Words 03-Sep 05-Sep 10-Sep 12-Sep Instruction Tuning Assgn-1 out 17-Sep 19-Sep 24-Sep 26-Sep Retrieval and RAG Assgn-1 due Assgn-2 out 01-Oct 03-Oct Assgn-3,4 out 08-Oct 10-Oct 15-Oct Fall Break 17-Oct Fall Break 22-Oct Assgn-2 due 24-Oct 29-Oct Project Discussion 31-Oct Multimodal Models 05-Nov Democracy Day - No Class 07-Nov 12-Nov Knowledge-based QA and Information Extraction Assgn-3 due 14-Nov Multilingual NLP 19-Nov 21-Nov 26-Nov 28-Nov Thanksgiving -...
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