Summary of Introducing Milabench: Benchmarking Accelerators For Ai, by Pierre Delaunay et al.
Introducing Milabench: Benchmarking Accelerators for AIby Pierre Delaunay, Xavier Bouthillier, Olivier Breuleux, Satya Ortiz-Gagné, Olexa…
Introducing Milabench: Benchmarking Accelerators for AIby Pierre Delaunay, Xavier Bouthillier, Olivier Breuleux, Satya Ortiz-Gagné, Olexa…
Dissecting Representation Misalignment in Contrastive Learning via Influence Functionby Lijie Hu, Chenyang Ren, Huanyi Xie,…
A Regularized LSTM Method for Detecting Fake News Articlesby Tanjina Sultana Camelia, Faizur Rahman Fahim,…
Everything is a Video: Unifying Modalities through Next-Frame Predictionby G. Thomas Hudson, Dean Slack, Thomas…
Adaptive Non-Uniform Timestep Sampling for Diffusion Model Trainingby Myunsoo Kim, Donghyeon Ki, Seong-Woong Shim, Byung-Jun…
The Moral Foundations Weibo Corpusby Renjie Cao, Miaoyan Hu, Jiahan Wei, Baha IhnainiFirst submitted to…
Pie: Pooling CPU Memory for LLM Inferenceby Yi Xu, Ziming Mao, Xiangxi Mo, Shu Liu,…
One STEP at a time: Language Agents are Stepwise Plannersby Minh Nguyen, Ehsan ShareghiFirst submitted…
TinyML NLP Approach for Semantic Wireless Sentiment Classificationby Ahmed Y. Radwan, Mohammad Shehab, Mohamed-Slim AlouiniFirst…
When are 1.58 bits enough? A Bottom-up Exploration of BitNet Quantizationby Jacob Nielsen, Lukas Galke,…