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Found 4 papers, 1 papers with code
A Modular-based Strategy for Mitigating Gradient Conflicts in Simultaneous Speech Translation
Simultaneous Speech Translation (SimulST) involves generating target language text while continuously processing streaming speech input, presenting significant real-time challenges.
NDP: Next Distribution Prediction as a More Broad Target
In our work, we extend the critique of NTP, highlighting its limitation also due to training with a narrow objective: the prediction of a sub-optimal one-hot distribution.
RankPrompt: Step-by-Step Comparisons Make Language Models Better Reasoners
Our experiments across 11 arithmetic and commonsense reasoning tasks show that RankPrompt significantly enhances the reasoning performance of ChatGPT and GPT-4, with improvements of up to 13%.
Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation
Given the significant resource allocation required for training and evaluating models, it is advantageous to have an efficient method for selecting high-quality IT data.
