Chong Zhang
6 papers in the PaperMetrix corpus
Papers by this author
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Lineup Mining and Balance Analysis of Auto Battler
2020 · Proceedings of the 2020 International Conference on Aviation Safety and Information Technology
Auto battler is currently one of the most popular types of video games on the market. In such type of games, players set up their own lineup of characters which combat automatically with other competitors. …
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Development of a risk index for cross-border data movement
2022 · Data Science and Management
Cross-border data transmission in the biomedical area is on the rise, which brings potential risks and management challenges to data security, biosafety, and national security. Focusing on cross-border data security assessment and risk management, many …
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HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text Classification
2023
Hierarchical text classification (HTC) is a challenging subtask of multi-label classification as the labels form a complex hierarchical structure. Existing dual-encoder methods in HTC achieve weak performance gains with huge memory overheads and their structure …
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Are Soft Prompts Good Zero-Shot Learners for Speech Recognition?
2024
Large self-supervised pre-trained speech models require computationally expensive fine-tuning for downstream tasks. Soft prompt tuning offers a simple parameter-efficient alternative by utilizing minimal soft prompt guidance, enhancing portability while also maintaining competitive performance. However, not …
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Uplink Over-the-Air Aggregation for Multi-Model Wireless Federated Learning
2024
We propose an uplink over-the-air aggregation (OAA) method for wireless federated learning (FL) that simultaneously trains multiple models. To maximize the multi-model training convergence rate, we derive an upper bound on the optimality gap of …
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Training language models to follow instructions with human feedback
2022 · arXiv (Cornell University)
Making language models bigger does not inherently make them better at following a user's intent. For example, large language models can generate outputs that are untruthful, toxic, or simply not helpful to the user. In …