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Language Modeling

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TitleStatusHype
Unsupervised pre-training of graph transformers on patient population graphsCode1
The Birth of Bias: A case study on the evolution of gender bias in an English language modelCode0
Language Model CascadesCode2
Language models of protein sequences at the scale of evolution enable accurate structure prediction—0
Label2Label: A Language Modeling Framework for Multi-Attribute LearningCode1
Towards the Human Global Context: Does the Vision-Language Model Really Judge Like a Human Being?—0
Training Large-Vocabulary Neural Language Models by Private Federated Learning for Resource-Constrained Devices—0
Word Play for Playing Othello (Reverses)—0
STT: Soft Template Tuning for Few-Shot Adaptation—0
Natural language processing for clusterization of genes according to their functions—0
An Overview of Distant Supervision for Relation Extraction with a Focus on Denoising and Pre-training Methods—0
ELECTRA is a Zero-Shot Learner, TooCode0
Clover: Towards A Unified Video-Language Alignment and Fusion ModelCode1
Multimodal Dialog Systems with Dual Knowledge-enhanced Generative Pretrained Language Model—0
A No-Code Low-Code Paradigm for Authoring Business Automations Using Natural Language—0
Learning Flexible Translation between Robot Actions and Language Descriptions—0
Beware the Rationalization Trap! When Language Model Explainability Diverges from our Mental Models of Language—0
BERTIN: Efficient Pre-Training of a Spanish Language Model using Perplexity Sampling—0
Confident Adaptive Language Modeling—0
Layout-Aware Information Extraction for Document-Grounded Dialogue: Dataset, Method and Demonstration—0
Recurrent Memory TransformerCode2
Multilinguals at SemEval-2022 Task 11: Complex NER in Semantically Ambiguous Settings for Low Resource LanguagesCode0
Neural Data-to-Text Generation Based on Small Datasets: Comparing the Added Value of Two Semi-Supervised Learning Approaches on Top of a Large Language Model—0
Scene Text Recognition with Permuted Autoregressive Sequence ModelsCode2
N-Grammer: Augmenting Transformers with latent n-gramsCode4
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