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Research on the application of contrastive learning in multi-label text classification. (arXiv:2212.00552v1 [cs.CL]) 

CultureBERT: Fine-Tuning Transformer-Based Language Models for Corporate Culture. (arXiv:2212.00509v1 [cs.CL]) 

MMSpeech: Multi-modal Multi-task Encoder-Decoder Pre-training for Speech Recognition. (arXiv:2212.00500v1 [cs.MM]) 

CUNI Systems for the WMT22 Czech-Ukrainian Translation Task. (arXiv:2212.00486v1 [cs.CL]) 

IRRGN: An Implicit Relational Reasoning Graph Network for Multi-turn Response Selection. (arXiv:2212.00482v1 [cs.CL]) 

CUNI Non-Autoregressive System for the WMT 22 Efficient Translation Shared Task. (arXiv:2212.00477v1 [cs.CL]) 

Language Model Pre-training on True Negatives. (arXiv:2212.00460v1 [cs.CL]) 

Anger Breeds Controversy: Analyzing Controversy and Emotions on Reddit. (arXiv:2212.00339v1 [cs.CL]) 

Learning to Select from Multiple Options. (arXiv:2212.00301v1 [cs.CL]) 

A Commonsense-Infused Language-Agnostic Learning Framework for Enhancing Prediction of Political Polarity in Multilingual News Headlines. (arXiv:2212.00298v1 [cs.CL]) 

Localization vs. Semantics: How Can Language Benefit Visual Representation Learning?. (arXiv:2212.00281v1 [cs.CV]) 

PIZZA: A new benchmark for complex end-to-end task-oriented parsing. (arXiv:2212.00265v1 [cs.CL]) 

Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning. (arXiv:2212.00259v1 [cs.CV]) 

Noisy Label Detection for Speaker Recognition. (arXiv:2212.00239v1 [cs.CL]) 

Inference of Media Bias and Content Quality Using Natural-Language Processing. (arXiv:2212.00237v1 [physics.soc-ph]) 

Modeling Complex Dialogue Mappings via Sentence Semantic Segmentation Guided Conditional Variational Auto-Encoder. (arXiv:2212.00231v1 [cs.CL]) 

Biomedical NER for the Enterprise with Distillated BERN2 and the Kazu Framework. (arXiv:2212.00223v1 [cs.CL]) 

Data-Efficient Finetuning Using Cross-Task Nearest Neighbors. (arXiv:2212.00196v1 [cs.CL]) 

Distilling Multi-Step Reasoning Capabilities of Large Language Models into Smaller Models via Semantic Decompositions. (arXiv:2212.00193v1 [cs.LG]) 

AUG-FedPrompt: Practical Few-shot Federated NLP with Data-augmented Prompts. (arXiv:2212.00192v1 [cs.CL]) 

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