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Found 6 papers, 4 papers with code
Predictive Pipelined Decoding: A Compute-Latency Trade-off for Exact LLM Decoding
This paper presents "Predictive Pipelined Decoding (PPD)," an approach that speeds up greedy decoding in Large Language Models (LLMs) while maintaining the exact same output as the original decoding.
EHRSQL: A Practical Text-to-SQL Benchmark for Electronic Health Records
We then manually linked these questions to two open-source EHR databases, MIMIC-III and eICU, and included various time expressions and held-out unanswerable questions in the dataset, which were also collected from the poll.
Universal EHR Federated Learning Framework
Federated learning (FL) is the most practical multi-source learning method for electronic healthcare records (EHR).
Task Agnostic and Post-hoc Unseen Distribution Detection
Despite the recent advances in out-of-distribution(OOD) detection, anomaly detection, and uncertainty estimation tasks, there do not exist a task-agnostic and post-hoc approach.
Towards the Practical Utility of Federated Learning in the Medical Domain
We evaluate six FL algorithms designed for addressing data heterogeneity among clients, and a hybrid algorithm combining the strengths of two representative FL algorithms.
Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span Prediction
Accurate terminology translation is crucial for ensuring the practicality and reliability of neural machine translation (NMT) systems.
