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Iterated Piecewise Affine (IPA) Approximation for Language Modeling
In this work, we demonstrate the application of a first-order Taylor expansion to approximate a generic function $F: R^{n \times m} \to R^{n \times m}$ and utilize it in language modeling.
LACoS-BLOOM: Low-rank Adaptation with Contrastive objective on 8 bits Siamese-BLOOM
Third, we apply a Siamese architecture on BLOOM model with a contrastive objective to ease the multi-lingual labeled data scarcity.
Providing Insights for Open-Response Surveys via End-to-End Context-Aware Clustering
When analyzing surveys with open-ended textual responses, it is extremely time-consuming, labor-intensive, and difficult to manually process all the responses into an insightful and comprehensive report.
Improving Retrieval Modeling Using Cross Convolution Networks And Multi Frequency Word Embedding
In this paper we concentrate on the task of response selection for multi-turn human-computer conversation with a given context.
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