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Language Modeling

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TitleStatusHype
Fast Contextual Adaptation with Neural Associative Memory for On-Device Personalized Speech Recognition—0
Attention Augmented Convolutional Transformer for Tabular Time-series—0
AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts—0
JuriBERT: A Masked-Language Model Adaptation for French Legal TextCode1
Contextualized Semantic Distance between Highly Overlapped TextsCode0
Leveraging Information Bottleneck for Scientific Document Summarization—0
Revisiting Self-Training for Few-Shot Learning of Language ModelCode1
Stochastic Anderson Mixing for Nonconvex Stochastic Optimization—0
Generative Adversarial Networks based on Mixed-Attentions for Citation Intent Classification in Scientific Publications—0
A Study on Contextualized Language Modeling for Machine Reading Comprehension—0
Exploiting Low-Resource Code-Switching Data to Mandarin-English Speech Recognition Systems—0
Improving Punctuation Restoration for Speech Transcripts via External Data—0
Speech Technology for Everyone: Automatic Speech Recognition for Non-Native English with Transfer Learning—0
Unpacking the Interdependent Systems of Discrimination: Ableist Bias in NLP Systems through an Intersectional Lens—0
Span Labeling Approach for Vietnamese and Chinese Word Segmentation—0
MatSciBERT: A Materials Domain Language Model for Text Mining and Information ExtractionCode1
SlovakBERT: Slovak Masked Language ModelCode1
Deep Neural Compression Via Concurrent Pruning and Self-Distillation—0
Focused Contrastive Training for Test-based Constituency Analysis—0
BERT got a Date: Introducing Transformers to Temporal TaggingCode1
GenTAL: Generative Denoising Skip-gram Transformer for Unsupervised Binary Code Similarity Detection—0
Analyzing the Implicit Position Encoding Ability of Transformer Decoder—0
Fairness in Representation for Multilingual NLP: Insights from Controlled Experiments on Conditional Language Modeling—0
Generate, Annotate, and Learn: Generative Models Advance Self-Training and Knowledge Distillation—0
Rethinking Client Reweighting for Selfish Federated Learning—0
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