Analysis of Points of Interests Recommended for Leisure Walk Descriptions

Payal Bajaj, Daniel Campos, Nick Craswell, +12

arXiv (Cornell University)

COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining

Meng Yu, Chenyan Xiong, Payal Bajaj, +4

arXiv (Cornell University)

Llm Fine-tuningEngineeringMachine LearningMultilingual PretrainingLarge Language Model +17

XLM-E: Cross-lingual Language Model Pre-training via ELECTRA

Zewen Chi, Shaohan Huang, Li Dong, +8

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Zewen ChiEngineeringCross-lingual RepresentationMultilingualismLarge Language Model +18

Embedding Logical Queries on Knowledge Graphs

William L. Hamilton, Payal Bajaj, Marinka Žitnik, +2

arXiv (Cornell University)

Artificial IntelligenceLow-dimensional EmbeddingsEngineeringMachine LearningSemantics +17

KidsTube: Detection, characterization and analysis of child unsafe content & promoters on YouTube

Rishabh Kaushal, Srishty Saha, Payal Bajaj, +1

Abuse DetectionEngineeringMachine LearningCommunicationVideo Retrieval +19

Inferring Generative Model Structure with Static Analysis

Paroma Varma, Bryan He, Payal Bajaj, +4

arXiv (Cornell University)

Artificial IntelligenceStructured PredictionEngineeringMachine LearningSoftware Analysis +21

XLM-E: Cross-lingual Language Model Pre-training via ELECTRA

Zewen Chi, Shaohan Huang, Dong Li, +8

arXiv (Cornell University)

EngineeringCross-lingual RepresentationMultilingualismMultilingual PretrainingLarge Language Model +14

Inferring Generative Model Structure with Static Analysis.

Paroma Varma, Bryan He, Payal Bajaj

PubMed

METRO: Efficient Denoising Pretraining of Large Scale Autoencoding Language Models with Model Generated Signals

Payal Bajaj, Chenyan Xiong, Guolin Ke, +7

arXiv (Cornell University)

Llm Fine-tuningModel Generated SignalsEngineeringMachine LearningAutoencoders +17

On the Representation Collapse of Sparse Mixture of Experts

Zewen Chi, Dong Li, Shaohan Huang, +6

arXiv (Cornell University)

EngineeringMachine LearningCross-lingual RepresentationSparse MixtureAtomic Decomposition +16