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Researcher profile

Xinyu Tang

6 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models

    2023 · arXiv (Cornell University)

    The recent success of large language models (LLMs) has shown great potential to develop more powerful conversational recommender systems (CRSs), which rely on natural language conversations to satisfy user needs. In this paper, we embark …

  2. Price of Stability in Quality-Aware Federated Learning

    2023

    Federated Learning (FL) is a distributed machine learning scheme that enables clients to train a shared global model without exchanging local data. The presence of label noise can severely degrade the FL performance, and some …

  3. YuLan: An Open-source Large Language Model

    2024 · arXiv (Cornell University)

    Large language models (LLMs) have become the foundation of many applications, leveraging their extensive capabilities in processing and understanding natural language. While many open-source LLMs have been released with technical reports, the lack of training …

  4. FedBChain: A Blockchain-enabled Federated Learning Framework for Improving DeepConvLSTM with Comparative Strategy Insights

    2024 · arXiv (Cornell University)

    Recent research in the field of Human Activity Recognition has shown that an improvement in prediction performance can be achieved by reducing the number of LSTM layers. However, this kind of enhancement is only significant …

  5. T2I-Diff: fMRI Signal Generation via Time-Frequency Image Transform and Classifier-Free Denoising Diffusion Models

    2025 · arXiv (Cornell University)

    Functional Magnetic Resonance Imaging (fMRI) is an advanced neuroimaging method that enables in-depth analysis of brain activity by measuring dynamic changes in the blood oxygenation level-dependent (BOLD) signals. However, the resource-intensive nature of fMRI data …

  6. A Survey of Large Language Models

    2026 · Frontiers of Computer Science

    Abstract The rapid evolution of large language models (LLMs) has driven a transformative shift in artificial intelligence (AI), reshaping both research paradigms and practical applications. Distinguished from their predecessors by unprecedented scale and advanced capabilities, …