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Showing 10301–10325 of 14182 papers

TitleStatusHype
Empathetic Persuasion: Reinforcing Empathy and Persuasiveness in Dialogue Systems—0
An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models—0
Enhancing Robustness of Pre-trained Language Model with Lexical Simplification—0
BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla—0
Better Language Model with Hypernym Class Prediction—0
Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification—0
"Is Whole Word Masking Always Better for Chinese BERT?": Probing on Chinese Grammatical Error Correction—0
Bootstrapping Text Anonymization Models with Distant Supervision—0
DAML-ST5: Low Resource Style Transfer via Domain Adaptive Meta Learning—0
Temporal Language Modeling for Short Text Document Classification with Transformers—0
Plug-Tagger: A Pluggable Sequence Labeling Framework with Pre-trained Language Models—0
Phrase-aware Unsupervised Constituency Parsing—0
Towards Unified Prompt Tuning for Few-shot Learning—0
TACO: Pre-training of Deep Transformers with Attention Convolution using Disentangled Positional Representation—0
Towards a Progression-Aware Autonomous Dialogue Agent—0
StableMoE: Stable Routing Strategy for Mixture of Experts—0
Rare Tokens Degenerate All Tokens: Improving Neural Text Generation via Adaptive Gradient Gating for Rare Token Embeddings—0
On the Multilingual Capabilities of Very Large-Scale English Language Models—0
Prompt-Learning for Fine-Grained Entity Typing—0
NSP-NER: A Prompt-based Learner for Few-shot NER Driven by Next Sentence Prediction—0
Meta-learning via Language Model In-context Tuning—0
Tokenization on the Number Line is All You Need—0
Text Smoothing: Enhance Various Data Augmentation Methods on Text Classification Tasks—0
Using Structured Content Plans for Fine-grained Syntactic Control in Pretrained Language Model Generation—0
UniSAr: A Unified Structure-Aware Autoregressive Language Model for Text-to-SQL—0
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