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Found 2 papers, 2 papers with code
PromptCBLUE: A Chinese Prompt Tuning Benchmark for the Medical Domain
Biomedical language understanding benchmarks are the driving forces for artificial intelligence applications with large language model (LLM) back-ends.
Candidate Soups: Fusing Candidate Results Improves Translation Quality for Non-Autoregressive Translation
In this paper, we propose a simple but effective method called "Candidate Soups," which can obtain high-quality translations while maintaining the inference speed of NAT models.
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