Show newer
arXiv - CSCL

The Effects of In-domain Corpus Size on pre-training BERT. (arXiv:2212.07914v1 [cs.CL]) 

arxiv.org/abs/2212.07914

0
arXiv - CSCL

The effects of gender bias in word embeddings on depression prediction. (arXiv:2212.07852v1 [cs.CL]) 

arxiv.org/abs/2212.07852

0
arXiv - CSCL

Attention as a guide for Simultaneous Speech Translation. (arXiv:2212.07850v1 [cs.CL]) 

arxiv.org/abs/2212.07850

0
arXiv - CSCL

MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders are Better Dense Retrievers. (arXiv:2212.07841v1 [cs.CL]) 

arxiv.org/abs/2212.07841

0
arXiv - CSCL

TeTIm-Eval: a novel curated evaluation data set for comparing text-to-image models. (arXiv:2212.07839v1 [cs.CV]) 

arxiv.org/abs/2212.07839

0
arXiv - CSCL

Utilizing Background Knowledge for Robust Reasoning over Traffic Situations. (arXiv:2212.07798v1 [cs.CL]) 

arxiv.org/abs/2212.07798

0
arXiv - CSCL

CREPE: Can Vision-Language Foundation Models Reason Compositionally?. (arXiv:2212.07796v1 [cs.CL]) 

arxiv.org/abs/2212.07796

0
arXiv - CSCL

CLAM: Selective Clarification for Ambiguous Questions with Large Language Models. (arXiv:2212.07769v1 [cs.CL]) 

arxiv.org/abs/2212.07769

0
arXiv - CSCL

COLA: Improving Conversational Recommender Systems by Collaborative Augmentation. (arXiv:2212.07767v1 [cs.IR]) 

arxiv.org/abs/2212.07767

0
arXiv - CSCL

TRIP: Triangular Document-level Pre-training for Multilingual Language Models. (arXiv:2212.07752v1 [cs.CL]) 

arxiv.org/abs/2212.07752

0
arXiv - CSCL

FreCDo: A Large Corpus for French Cross-Domain Dialect Identification. (arXiv:2212.07707v1 [cs.CL]) 

arxiv.org/abs/2212.07707

0
arXiv - CSCL

Retrieval-based Disentanglement with Distant Supervision. (arXiv:2212.07699v1 [cs.CL]) 

arxiv.org/abs/2212.07699

0
arXiv - CSCL

Transformers learn in-context by gradient descent. (arXiv:2212.07677v1 [cs.LG]) 

arxiv.org/abs/2212.07677

0
arXiv - CSCL

Summary-Oriented Vision Modeling for Multimodal Abstractive Summarization. (arXiv:2212.07672v1 [cs.CV]) 

arxiv.org/abs/2212.07672

0
arXiv - CSCL

Using Two Losses and Two Datasets Simultaneously to Improve TempoWiC Accuracy. (arXiv:2212.07669v1 [cs.CL]) 

arxiv.org/abs/2212.07669

0
arXiv - CSCL

Improve Text Classification Accuracy with Intent Information. (arXiv:2212.07649v1 [cs.CL]) 

arxiv.org/abs/2212.07649

0
arXiv - CSCL

Gradient-based Intra-attention Pruning on Pre-trained Language Models. (arXiv:2212.07634v1 [cs.CL]) 

arxiv.org/abs/2212.07634

0
arXiv - CSCL

Efficient Pre-training of Masked Language Model via Concept-based Curriculum Masking. (arXiv:2212.07617v1 [cs.CL]) 

arxiv.org/abs/2212.07617

0
arXiv - CSCL

Fixing MoE Over-Fitting on Low-Resource Languages in Multilingual Machine Translation. (arXiv:2212.07571v1 [cs.CL]) 

arxiv.org/abs/2212.07571

0
arXiv - CSCL

ReDDIT: Regret Detection and Domain Identification from Text. (arXiv:2212.07549v1 [cs.CL]) 

arxiv.org/abs/2212.07549

0
Show older
Qoto Mastodon

QOTO: Question Others to Teach Ourselves
An inclusive, Academic Freedom, instance
All cultures welcome.
Hate speech and harassment strictly forbidden.

Trending now

Resources

Developers

What is Mastodon?

qoto.org

More…

v3.5.19-qoto · Privacy policy