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WhatsApp: +86 18221755073Text-infilling language models can predict appropriate text to infill the mask tokens in the input prompt. While generating, text-infilling language models can apply different masking strategies, which may lead to the generated article having different characteristics. ... If the synthetic machine data is generated by an arbitrary masking ...
WhatsApp: +86 18221755073sentences infilled by our approach as machine-generated in the domain of short stories. 1 Introduction Text infilling is the task of predicting missing spans of text which are consistent with the preceding and subsequent text.1 Systems capable of infilling have the potential to enable rich applications such as
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WhatsApp: +86 18221755073Integrating Vectorized Lexical Constraints for Neural Machine Translation. ; :; :; :; :NMT,; :,NMT
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WhatsApp: +86 18221755073Abstract Historical in situ ocean temperature profile measurements are important for a wide range of ocean and climate research activities. A large proportion of the profile observations have been recorded using expendable bathythermographs (XBTs), and required bias corrections for use in climate change studies. It is generally accepted that …
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WhatsApp: +86 18221755073Streamflow Data Infilling Using Machine Learning Techniques with Gamma Test Dahmani, Saad; Latif, Sarmad Dashti; Abstract. Publication: Water Resources Management. Pub Date: January 2024 DOI: 10.1007/s11269-023-03694-8 …
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WhatsApp: +86 18221755073Reprogramming Pretrained Language Models for Antibody Sequence Infilling baseline infilling methods) and over multiple benchmarks, where our ReprogBert model upholds structural integrity and sequence recovery, while achieving valuable high di-versity of the generated sequences. Moreover, the gener-
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WhatsApp: +86 18221755073Missing rainfall data has been a prevalent issue and primarily interested in hydrology and meteorology. This research aimed to examine the capability of machine learning (ML) and spatial interpolation (SI) methods to estimate missing monthly rainfall data. Six ML algorithms (i.e. multiple linear regression (MLR), M5 model tree (M5), …
WhatsApp: +86 18221755073Streamflow Data Infilling Using Machine Learning . T echniques with Gamma Test. Saad Dahmani 1 · Sarmad Dashti Latif 2,3. Received: 3 February 2023 / Accepted: 4 December 2023
WhatsApp: +86 18221755073We present a simple approach for text infilling, the task of predicting missing spans of text at any position in a document. While infilling could enable rich functionality especially for writing assistance tools, more attention has been devoted to language modeling---a special case of infilling where text is predicted at the end of a …
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WhatsApp: +86 18221755073Machine learning algorithm has been increasingly used to fill missing daily streamflow data from neighboring gauges in data-scarce regions. However, how human activities, especially reservoir construction, may affect the performance of these gap-filling algorithms has not been explicitly assessed. This study applied the MissForest algorithm (MF) to infill daily …
WhatsApp: +86 18221755073In other words, infilling perplexity is equivalent to taking the per-token perplexity after the [S E P] token. In Figure 1 D, we also compared IgLM infilling perplexity to methods using only preceding context (IgLM [pre], IgLM-S [pre], ProGen2-base, ProGen2-OAS). For these methods, rather than compute perplexity using our infilling …
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