Summary of Scalable Ensembling For Mitigating Reward Overoptimisation, by Ahmed M. Ahmed et al.
Scalable Ensembling For Mitigating Reward Overoptimisationby Ahmed M. Ahmed, Rafael Rafailov, Stepan Sharkov, Xuechen Li,…
Summary of Coded Computing For Resilient Distributed Computing: a Learning-theoretic Framework, by Parsa Moradi et al.
Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Frameworkby Parsa Moradi, Behrooz Tahmasebi, Mohammad Ali…
Summary of Ovis: Structural Embedding Alignment For Multimodal Large Language Model, by Shiyin Lu et al.
Ovis: Structural Embedding Alignment for Multimodal Large Language Modelby Shiyin Lu, Yang Li, Qing-Guo Chen,…
Summary of Improved Out-of-scope Intent Classification with Dual Encoding and Threshold-based Re-classification, by Hossam M. Zawbaa et al.
Improved Out-of-Scope Intent Classification with Dual Encoding and Threshold-based Re-Classificationby Hossam M. Zawbaa, Wael Rashwan,…
Summary of Cycleformer : Tsp Solver Based on Language Modeling, by Jieun Yook et al.
CycleFormer : TSP Solver Based on Language Modelingby Jieun Yook, Junpyo Seo, Joon Huh, Han…
Summary of Cephalo: Multi-modal Vision-language Models For Bio-inspired Materials Analysis and Design, by Markus J. Buehler
Cephalo: Multi-Modal Vision-Language Models for Bio-Inspired Materials Analysis and Designby Markus J. BuehlerFirst submitted to…
Summary of Monde: Mixture Of Near-data Experts For Large-scale Sparse Models, by Taehyun Kim et al.
MoNDE: Mixture of Near-Data Experts for Large-Scale Sparse Modelsby Taehyun Kim, Kwanseok Choi, Youngmock Cho,…
Summary of It’s Not a Modality Gap: Characterizing and Addressing the Contrastive Gap, by Abrar Fahim et al.
It’s Not a Modality Gap: Characterizing and Addressing the Contrastive Gapby Abrar Fahim, Alex Murphy,…
Summary of Visualizing the Loss Landscape Of Self-supervised Vision Transformer, by Youngwan Lee et al.
Visualizing the loss landscape of Self-supervised Vision Transformerby Youngwan Lee, Jeffrey Ryan Willette, Jonghee Kim,…
Summary of Physics-guided Full Waveform Inversion Using Encoder-solver Convolutional Neural Networks, by Matan Goren and Eran Treister
Physics-guided Full Waveform Inversion using Encoder-Solver Convolutional Neural Networksby Matan Goren, Eran TreisterFirst submitted to…