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Showing 9151–9175 of 14182 papers

TitleStatusHype
LiteVL: Efficient Video-Language Learning with Enhanced Spatial-Temporal Modeling—0
Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer EnsembleCode0
Tele-Knowledge Pre-training for Fault AnalysisCode1
Two-Turn Debate Doesn't Help Humans Answer Hard Reading Comprehension Questions—0
The Devil in Linear TransformerCode1
Separating Grains from the Chaff: Using Data Filtering to Improve Multilingual Translation for Low-Resourced African Languages—0
TabLLM: Few-shot Classification of Tabular Data with Large Language ModelsCode2
Language Detoxification with Attribute-Discriminative Latent SpaceCode0
Improving Aspect Sentiment Quad Prediction via Template-Order Data AugmentationCode1
Language Model Decomposition: Quantifying the Dependency and Correlation of Language ModelsCode1
Forging Multiple Training Objectives for Pre-trained Language Models via Meta-LearningCode0
Continued Pretraining for Better Zero- and Few-Shot PromptabilityCode1
Tiny-Attention Adapter: Contexts Are More Important Than the Number of Parameters—0
Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models—0
Aligning MAGMA by Few-Shot Learning and Finetuning—0
Alibaba-Translate China's Submission for WMT 2022 Metrics Shared TaskCode0
Alibaba-Translate China's Submission for WMT 2022 Quality Estimation Shared TaskCode0
Sentiment-Aware Word and Sentence Level Pre-training for Sentiment AnalysisCode1
Systematicity in GPT-3's Interpretation of Novel English Noun Compounds—0
The Tail Wagging the Dog: Dataset Construction Biases of Social Bias BenchmarksCode0
Hidden State Variability of Pretrained Language Models Can Guide Computation Reduction for Transfer Learning—0
CAN-BERT do it? Controller Area Network Intrusion Detection System based on BERT Language Model—0
Deep Bidirectional Language-Knowledge Graph PretrainingCode2
SGRAM: Improving Scene Graph Parsing via Abstract Meaning Representation—0
RARR: Researching and Revising What Language Models Say, Using Language ModelsCode1
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