Summary of Pretrained Visual Uncertainties, by Michael Kirchhof and Mark Collier and Seong Joon Oh and Enkelejda Kasneci
Pretrained Visual Uncertaintiesby Michael Kirchhof, Mark Collier, Seong Joon Oh, Enkelejda KasneciFirst submitted to arxiv…
Pretrained Visual Uncertaintiesby Michael Kirchhof, Mark Collier, Seong Joon Oh, Enkelejda KasneciFirst submitted to arxiv…
Learning Translations: Emergent Communication Pretraining for Cooperative Language Acquisitionby Dylan Cope, Peter McBurneyFirst submitted to…
Building Flexible Machine Learning Models for Scientific Computing at Scaleby Tianyu Chen, Haoyi Zhou, Ying…
Repetition Improves Language Model Embeddingsby Jacob Mitchell Springer, Suhas Kotha, Daniel Fried, Graham Neubig, Aditi…
Foundation Policies with Hilbert Representationsby Seohong Park, Tobias Kreiman, Sergey LevineFirst submitted to arxiv on:…
Ranking Entities along Conceptual Space Dimensions with LLMs: An Analysis of Fine-Tuning Strategiesby Nitesh Kumar,…
HumanEval on Latest GPT Models – 2024by Daniel Li, Lincoln MurrFirst submitted to arxiv on:…
APTQ: Attention-aware Post-Training Mixed-Precision Quantization for Large Language Modelsby Ziyi Guan, Hantao Huang, Yupeng Su,…
IEPile: Unearthing Large-Scale Schema-Based Information Extraction Corpusby Honghao Gui, Lin Yuan, Hongbin Ye, Ningyu Zhang,…
UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphsby Yufei He, Yuan Sui, Xiaoxin…