Transformer Vs. MLP-Mixer: Exponential Expressive Gap For NLP Problems. (arXiv:2208.08191v3 [cs.CL] UPDATED)
Not Cheating on the Turing Test: Towards Grounded Language Learning in Artificial Intelligence. (arXiv:2206.14672v4 [cs.CL] UPDATED)
NatiQ: An End-to-end Text-to-Speech System for Arabic. (arXiv:2206.07373v2 [cs.CL] UPDATED)
Quark: Controllable Text Generation with Reinforced Unlearning. (arXiv:2205.13636v2 [cs.CL] UPDATED)
Unsupervised Learning of Hierarchical Conversation Structure. (arXiv:2205.12244v2 [cs.CL] UPDATED)
Data Distributional Properties Drive Emergent In-Context Learning in Transformers. (arXiv:2205.05055v6 [cs.LG] UPDATED)
Training Language Models with Language Feedback. (arXiv:2204.14146v4 [cs.CL] UPDATED)
Language Contamination Helps Explain the Cross-lingual Capabilities of English Pretrained Models. (arXiv:2204.08110v4 [cs.CL] UPDATED)
Does Simultaneous Speech Translation need Simultaneous Models?. (arXiv:2204.03783v3 [cs.CL] UPDATED)
Automatic Speech Recognition for Speech Assessment of Persian Preschool Children. (arXiv:2203.12886v9 [cs.CL] UPDATED)
BERT-ASC: Implicit Aspect Representation Learning through Auxiliary-Sentence Construction for Sentiment Analysis. (arXiv:2203.11702v2 [cs.CL] UPDATED)
Estimating the Uncertainty in Emotion Class Labels with Utterance-Specific Dirichlet Priors. (arXiv:2203.04443v3 [cs.CL] UPDATED)
Probing Pretrained Models of Source Code. (arXiv:2202.08975v3 [cs.SE] UPDATED)
Improve Cross-lingual Voice Cloning Using Low-quality Code-switched Data. (arXiv:2110.07210v2 [cs.SD] UPDATED)
InstructPix2Pix: Learning to Follow Image Editing Instructions. (arXiv:2211.09800v1 [cs.CV])
UniSumm: Unified Few-shot Summarization with Multi-Task Pre-Training and Prefix-Tuning. (arXiv:2211.09783v1 [cs.CL])
Efficient Transformers with Dynamic Token Pooling. (arXiv:2211.09761v1 [cs.CL])
Probing for Incremental Parse States in Autoregressive Language Models. (arXiv:2211.09748v1 [cs.CL])
Zero-Shot Dynamic Quantization for Transformer Inference. (arXiv:2211.09744v1 [cs.CL])
BERT-Deep CNN: State-of-the-Art for Sentiment Analysis of COVID-19 Tweets. (arXiv:2211.09733v1 [cs.CL])
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