Show newer

Pre-training for Speech Translation: CTC Meets Optimal Transport. (arXiv:2301.11716v2 [cs.CL] CROSS LISTED) 

CONE: An Efficient COarse-to-fiNE Alignment Framework for Long Video Temporal Grounding. (arXiv:2209.10918v2 [cs.CV] CROSS LISTED) 

Grammar Prompting for Domain-Specific Language Generation with Large Language Models. (arXiv:2305.19234v2 [cs.CL] UPDATED) 

Controlled Text Generation with Hidden Representation Transformations. (arXiv:2305.19230v2 [cs.CL] UPDATED) 

Cross Encoding as Augmentation: Towards Effective Educational Text Classification. (arXiv:2305.18977v2 [cs.CL] UPDATED) 

Scalable Performance Analysis for Vision-Language Models. (arXiv:2305.18786v2 [cs.CV] UPDATED) 

Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models. (arXiv:2305.18703v2 [cs.CL] UPDATED) 

Practical PCG Through Large Language Models. (arXiv:2305.18243v2 [cs.CL] UPDATED) 

The Curse of Recursion: Training on Generated Data Makes Models Forget. (arXiv:2305.17493v2 [cs.LG] UPDATED) 

A Framework For Refining Text Classification and Object Recognition from Academic Articles. (arXiv:2305.17401v2 [cs.CV] UPDATED) 

Honey, I Shrunk the Language: Language Model Behavior at Reduced Scale. (arXiv:2305.17266v2 [cs.CL] UPDATED) 

On the Computational Power of Decoder-Only Transformer Language Models. (arXiv:2305.17026v2 [cs.CL] UPDATED) 

Do GPTs Produce Less Literal Translations?. (arXiv:2305.16806v3 [cs.CL] UPDATED) 

Denoising Bottleneck with Mutual Information Maximization for Video Multimodal Fusion. (arXiv:2305.14652v3 [cs.CL] UPDATED) 

On Bias and Fairness in NLP: How to have a fairer text classification?. (arXiv:2305.12829v2 [cs.CL] UPDATED) 

Comparison of Multilingual Self-Supervised and Weakly-Supervised Speech Pre-Training for Adaptation to Unseen Languages. (arXiv:2305.12606v2 [cs.CL] UPDATED) 

QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations. (arXiv:2305.11694v2 [cs.CL] UPDATED) 

On the Hidden Mystery of OCR in Large Multimodal Models. (arXiv:2305.07895v2 [cs.CV] UPDATED) 

The Role of Global and Local Context in Named Entity Recognition. (arXiv:2305.03132v2 [cs.CL] UPDATED) 

Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations. (arXiv:2305.02995v2 [cs.LG] UPDATED) 

Show older
Qoto Mastodon

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