Show newer
arXiv - CSCL

TPU-MLIR: A Compiler For TPU Using MLIR. (arXiv:2210.15016v2 [cs.PL] UPDATED) 

arxiv.org/abs/2210.15016

0
arXiv - CSCL

Best Practices in the Creation and Use of Emotion Lexicons. (arXiv:2210.07206v2 [cs.CL] UPDATED) 

arxiv.org/abs/2210.07206

0
arXiv - CSCL

Better Pre-Training by Reducing Representation Confusion. (arXiv:2210.04246v2 [cs.CL] UPDATED) 

arxiv.org/abs/2210.04246

0
arXiv - CSCL

COMPS: Conceptual Minimal Pair Sentences for testing Robust Property Knowledge and its Inheritance in Pre-trained Language Models. (arXiv:2210.01963v4 [cs.CL] UPDATED) 

arxiv.org/abs/2210.01963

0
arXiv - CSCL

Neural Approaches to Multilingual Information Retrieval. (arXiv:2209.01335v2 [cs.IR] UPDATED) 

arxiv.org/abs/2209.01335

0
arXiv - CSCL

Global Performance Disparities Between English-Language Accents in Automatic Speech Recognition. (arXiv:2208.01157v2 [cs.CL] UPDATED) 

arxiv.org/abs/2208.01157

0
arXiv - CSCL

Visual Spatial Reasoning. (arXiv:2205.00363v2 [cs.CL] UPDATED) 

arxiv.org/abs/2205.00363

0
arXiv - CSCL

A Latent-Variable Model for Intrinsic Probing. (arXiv:2201.08214v2 [cs.CL] UPDATED) 

arxiv.org/abs/2201.08214

0
arXiv - CSCL

Composable Sparse Fine-Tuning for Cross-Lingual Transfer. (arXiv:2110.07560v2 [cs.CL] UPDATED) 

arxiv.org/abs/2110.07560

0
arXiv - CSCL

What Makes Sentences Semantically Related: A Textual Relatedness Dataset and Empirical Study. (arXiv:2110.04845v3 [cs.CL] UPDATED) 

arxiv.org/abs/2110.04845

0
arXiv - CSCL

Learning From How Humans Correct. (arXiv:2102.00225v13 [cs.CL] UPDATED) 

arxiv.org/abs/2102.00225

0
arXiv - CSCL

Offsite-Tuning: Transfer Learning without Full Model. (arXiv:2302.04870v1 [cs.CL]) 

arxiv.org/abs/2302.04870

0
arXiv - CSCL

Learning by Asking for Embodied Visual Navigation and Task Completion. (arXiv:2302.04865v1 [cs.CV]) 

arxiv.org/abs/2302.04865

0
arXiv - CSCL

Knowledge is a Region in Weight Space for Fine-tuned Language Models. (arXiv:2302.04863v1 [cs.LG]) 

arxiv.org/abs/2302.04863

0
arXiv - CSCL

Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning. (arXiv:2302.04858v1 [cs.CV]) 

arxiv.org/abs/2302.04858

0
arXiv - CSCL

FrameBERT: Conceptual Metaphor Detection with Frame Embedding Learning. (arXiv:2302.04834v1 [cs.CL]) 

arxiv.org/abs/2302.04834

0
arXiv - CSCL

Exploring the Cognitive Dynamics of Artificial Intelligence in the Post-COVID-19 and Learning 3.0 Era: A Case Study of ChatGPT. (arXiv:2302.04818v1 [cs.CY]) 

arxiv.org/abs/2302.04818

0
arXiv - CSCL

Explanation Selection Using Unlabeled Data for In-Context Learning. (arXiv:2302.04813v1 [cs.CL]) 

arxiv.org/abs/2302.04813

0
arXiv - CSCL

A Large-Scale Multilingual Study of Visual Constraints on Linguistic Selection of Descriptions. (arXiv:2302.04811v1 [cs.CL]) 

arxiv.org/abs/2302.04811

0
arXiv - CSCL

Massively Multilingual Language Models for Cross Lingual Fact Extraction from Low Resource Indian Languages. (arXiv:2302.04790v1 [cs.CL]) 

arxiv.org/abs/2302.04790

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.

Resources

Developers

What is Mastodon?

qoto.org

More…

v3.5.19-qoto · Privacy policy