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Researcher profile

Zhiyu Chen

6 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. Field implementation of long-distance quantum key distribution over aerial fiber with fast polarization feedback

    2018 · Optics Express

    Quantum key distribution with polarized qubits has not yet been realized over the aerial fiber, due to rapid polarization changes. Here, we report our recent work towards quantum communication through an aerial fiber channel. We …

  2. Few-Shot NLG with Pre-Trained Language Model

    2019 · arXiv (Cornell University)

    Neural-based end-to-end approaches to natural language generation (NLG) from structured data or knowledge are data-hungry, making their adoption for real-world applications difficult with limited data. In this work, we propose the new task of \textit{few-shot …

  3. HULK: An Energy Efficiency Benchmark Platform for Responsible Natural Language Processing

    2020 · arXiv (Cornell University)

    Computation-intensive pretrained models have been taking the lead of many natural language processing benchmarks such as GLUE. However, energy efficiency in the process of model training and inference becomes a critical bottleneck. We introduce HULK, …

  4. KETOD: Knowledge-Enriched Task-Oriented Dialogue

    2022 · Findings of the Association for Computational Linguistics: NAACL 2022

    Existing studies in dialogue system research mostly treat task-oriented dialogue and chitchat as separate domains. Towards building a human-like assistant that can converse naturally and seamlessly with users, it is important to build a dialogue …

  5. Reinforced Question Rewriting for Conversational Question Answering

    2022 · arXiv (Cornell University)

    Conversational Question Answering (CQA) aims to answer questions contained within dialogues, which are not easily interpretable without context. Developing a model to rewrite conversational questions into self-contained ones is an emerging solution in industry settings …

  6. Personalized and similarity contrast federated learning on non-IId

    2024

    Data heterogeneity is a major challenge in federated learning. This paper introduces FedKSA, a personalized approach that extends FedKD to handle non-iid data. FedKSA integrates an adaptive local aggregation module in client models for dynamic …