Summary of End-to-end Planner Training For Language Modeling, by Nathan Cornille et al.
End-to-end Planner Training for Language Modelingby Nathan Cornille, Florian Mai, Jingyuan Sun, Marie-Francine MoensFirst submitted…
End-to-end Planner Training for Language Modelingby Nathan Cornille, Florian Mai, Jingyuan Sun, Marie-Francine MoensFirst submitted…
SHAKTI: A 2.5 Billion Parameter Small Language Model Optimized for Edge AI and Low-Resource Environmentsby…
Fill In The Gaps: Model Calibration and Generalization with Synthetic Databy Yang Ba, Michelle V.…
SeedLM: Compressing LLM Weights into Seeds of Pseudo-Random Generatorsby Rasoul Shafipour, David Harrison, Maxwell Horton,…
A resource-efficient model for deep kernel learningby Luisa D'AmoreFirst submitted to arxiv on: 13 Oct…
SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learningby Hojoon Lee, Dongyoon Hwang,…
Learning the Bitter Lesson: Empirical Evidence from 20 Years of CVPR Proceedingsby Mojtaba Yousefi, Jack…
Text Classification using Graph Convolutional Networks: A Comprehensive Surveyby Syed Mustafa Haider Rizvi, Ramsha Imran,…
Long Range Named Entity Recognition for Marathi Documentsby Pranita Deshmukh, Nikita Kulkarni, Sanhita Kulkarni, Kareena…
Leveraging Social Determinants of Health in Alzheimer’s Research Using LLM-Augmented Literature Mining and Knowledge Graphsby…