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| Scaling the Vocabulary of Non-autoregressive Models for Efficient Generative Retrieval | Jun 10, 2024 | Inference OptimizationInformation Retrieval | —Unverified | 0 |
| Efficiency optimization of large-scale language models based on deep learning in natural language processing tasks | May 20, 2024 | Inference OptimizationKnowledge Distillation | —Unverified | 0 |
| Advances and Open Challenges in Federated Foundation Models | Apr 23, 2024 | Computational EfficiencyFederated Learning | —Unverified | 0 |
| Federated Learning While Providing Model as a Service: Joint Training and Inference Optimization | Dec 20, 2023 | Federated LearningInference Optimization | —Unverified | 0 |
| Integrating Pre-Trained Speech and Language Models for End-to-End Speech Recognition | Dec 6, 2023 | Automatic Speech RecognitionAutomatic Speech Recognition (ASR) | —Unverified | 0 |
| SySMOL: Co-designing Algorithms and Hardware for Neural Networks with Heterogeneous Precisions | Nov 23, 2023 | CPUGPU | —Unverified | 0 |
| Bayesian Active Learning in the Presence of Nuisance Parameters | Oct 23, 2023 | Active LearningExperimental Design | —Unverified | 0 |
| Representing Edge Flows on Graphs via Sparse Cell Complexes | Sep 4, 2023 | Inference OptimizationRepresentation Learning | CodeCode Available | 0 |
| Residual-Based Error Corrector Operator to Enhance Accuracy and Reliability of Neural Operator Surrogates of Nonlinear Variational Boundary-Value Problems | Jun 21, 2023 | Inference Optimization | —Unverified | 0 |