Summary of What Matters For Model Merging at Scale?, by Prateek Yadav et al.
What Matters for Model Merging at Scale?by Prateek Yadav, Tu Vu, Jonathan Lai, Alexandra Chronopoulou,…
Summary of Large Language Model Performance Benchmarking on Mobile Platforms: a Thorough Evaluation, by Jie Xiao et al.
Large Language Model Performance Benchmarking on Mobile Platforms: A Thorough Evaluationby Jie Xiao, Qianyi Huang,…
Summary of Open-world Reinforcement Learning Over Long Short-term Imagination, by Jiajian Li et al.
Open-World Reinforcement Learning over Long Short-Term Imaginationby Jiajian Li, Qi Wang, Yunbo Wang, Xin Jin,…
Summary of Ebes: Easy Benchmarking For Event Sequences, by Dmitry Osin et al.
EBES: Easy Benchmarking for Event Sequencesby Dmitry Osin, Igor Udovichenko, Viktor Moskvoretskii, Egor Shvetsov, Evgeny…
Summary of Cayley Graph Propagation, by Jj Wilson et al.
Cayley Graph Propagationby JJ Wilson, Maya Bechler-Speicher, Petar VeličkovićFirst submitted to arxiv on: 4 Oct…
Summary of Conformal Confidence Sets For Biomedical Image Segmentation, by Samuel Davenport
Conformal confidence sets for biomedical image segmentationby Samuel DavenportFirst submitted to arxiv on: 4 Oct…
Summary of Predictive Coding For Decision Transformer, by Tung M. Luu et al.
Predictive Coding for Decision Transformerby Tung M. Luu, Donghoon Lee, Chang D. YooFirst submitted to…
Summary of A General Framework For Producing Interpretable Semantic Text Embeddings, by Yiqun Sun et al.
A General Framework for Producing Interpretable Semantic Text Embeddingsby Yiqun Sun, Qiang Huang, Yixuan Tang,…
Summary of On Uncertainty in Natural Language Processing, by Dennis Ulmer
On Uncertainty In Natural Language Processingby Dennis UlmerFirst submitted to arxiv on: 4 Oct 2024CategoriesMain:…
Summary of Zebra: In-context and Generative Pretraining For Solving Parametric Pdes, by Louis Serrano et al.
Zebra: In-Context and Generative Pretraining for Solving Parametric PDEsby Louis Serrano, Armand Kassaï Koupaï, Thomas…