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Showing 10751–10800 of 14182 papers

TitleStatusHype
On the Multilingual Capabilities of Very Large-Scale English Language ModelsCode0
Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog SystemsCode0
Representation Memorization for Fast Learning New Knowledge without Forgetting—0
Exploring Retraining-Free Speech Recognition for Intra-sentential Code-Switching—0
Dealing with Typos for BERT-based Passage Retrieval and RankingCode1
Exploring the Capacity of a Large-scale Masked Language Model to Recognize Grammatical Errors—0
Position-Invariant Truecasing with a Word-and-Character Hierarchical Recurrent Neural Network—0
Models In a Spelling Bee: Language Models Implicitly Learn the Character Composition of TokensCode0
SimVLM: Simple Visual Language Model Pretraining with Weak SupervisionCode1
Using BERT Encoding and Sentence-Level Language Model for Sentence Ordering—0
Detection of Criminal Texts for the Polish State Border Guard—0
Prompt-Learning for Fine-Grained Entity Typing—0
Reducing Exposure Bias in Training Recurrent Neural Network Transducers—0
UzBERT: pretraining a BERT model for Uzbek—0
From Two to One: A New Scene Text Recognizer with Visual Language Modeling NetworkCode1
cushLEPOR: customising hLEPOR metric using Optuna for higher agreement with human judgments or pre-trained language model LaBSECode0
Knowledge Perceived Multi-modal Pretraining in E-commerceCode1
Asleep at the Keyboard? Assessing the Security of GitHub Copilot's Code ContributionsCode1
Pre-training for Ad-hoc Retrieval: Hyperlink is Also You NeedCode1
SMedBERT: A Knowledge-Enhanced Pre-trained Language Model with Structured Semantics for Medical Text MiningCode1
Language Model Augmented Relevance Score—0
Exploiting Multi-Object Relationships for Detecting Adversarial Attacks in Complex Scenes—0
Automatic Multi-Label Prompting: Simple and Interpretable Few-Shot Classification—0
Deduplicating Training Data Makes Language Models Better—0
A Weakly Supervised Dataset of Fine-Grained Emotions in PortugueseCode0
Scaling Laws for Deep Learning—0
Modeling Protein Using Large-scale Pretrain Language ModelCode1
Deep Natural Language Processing for LinkedIn Search—0
Autoencoders as Tools for Program SynthesisCode0
Towards Structured Dynamic Sparse Pre-Training of BERT—0
Unsupervised Corpus Aware Language Model Pre-training for Dense Passage RetrievalCode1
Perturbing Inputs for Fragile Interpretations in Deep Natural Language ProcessingCode0
Mounting Video Metadata on Transformer-based Language Model for Open-ended Video Question Answering—0
A Transformer-based Math Language Model for Handwritten Math Expression Recognition—0
DEMix Layers: Disentangling Domains for Modular Language ModelingCode1
BROS: A Pre-trained Language Model Focusing on Text and Layout for Better Key Information Extraction from DocumentsCode1
BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease DiagnosisCode0
Do Images really do the Talking? Analysing the significance of Images in Tamil Troll meme classificationCode0
IntenT5: Search Result Diversification using Causal Language Models—0
Noisy Channel Language Model Prompting for Few-Shot Text ClassificationCode1
Language Model Evaluation in Open-ended Text Generation—0
Leveraging Commonsense Knowledge on Classifying False News and Determining Checkworthiness of Claims—0
W2v-BERT: Combining Contrastive Learning and Masked Language Modeling for Self-Supervised Speech Pre-TrainingCode3
Sentence Semantic Regression for Text Generation—0
Towards Zero-shot Language Modeling—0
StrucTexT: Structured Text Understanding with Multi-Modal TransformersCode0
Knowledge Distillation from BERT Transformer to Speech Transformer for Intent ClassificationCode1
FMMformer: Efficient and Flexible Transformer via Decomposed Near-field and Far-field Attention—0
Finetuning Pretrained Transformers into Variational AutoencodersCode1
Mitigating harm in language models with conditional-likelihood filtration—0
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