Revisiting non-English text simplification: A unified multilingual benchmark
Recent advancements in high-quality, large-scale English resources have pushed the
frontier of English Automatic Text Simplification (ATS) research. However, less work has …
frontier of English Automatic Text Simplification (ATS) research. However, less work has …
Distill or annotate? cost-efficient fine-tuning of compact models
Fine-tuning large models is highly effective, however, inference can be expensive and
produces carbon emissions. Knowledge distillation has been shown to be a practical …
produces carbon emissions. Knowledge distillation has been shown to be a practical …
ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment
We present a systematic study and comprehensive evaluation of large language models for
automatic multilingual readability assessment. In particular, we construct ReadMe++, a …
automatic multilingual readability assessment. In particular, we construct ReadMe++, a …
[PDF][PDF] Optimizing Resource Allocation with Data-Driven Approaches in Heterogeneous Computing
A Nair, V Choudhary, S Desai, M Gupta, K Mehta… - researchgate.net
Heterogeneous computing environments present unique challenges for resource allocation,
often resulting in underutilized resources and performance bottlenecks. In this paper, we …
often resulting in underutilized resources and performance bottlenecks. In this paper, we …