Summary of Causalstock: Deep End-to-end Causal Discovery For News-driven Stock Movement Prediction, by Shuqi Li et al.
CausalStock: Deep End-to-end Causal Discovery for News-driven Stock Movement Predictionby Shuqi Li, Yuebo Sun, Yuxin…
Summary of When Are 1.58 Bits Enough? a Bottom-up Exploration Of Bitnet Quantization, by Jacob Nielsen et al.
When are 1.58 bits enough? A Bottom-up Exploration of BitNet Quantizationby Jacob Nielsen, Lukas Galke,…
Summary of From Pixels to Prose: Advancing Multi-modal Language Models For Remote Sensing, by Xintian Sun et al.
From Pixels to Prose: Advancing Multi-Modal Language Models for Remote Sensingby Xintian Sun, Benji Peng,…
Summary of Exploring How Generative Mllms Perceive More Than Clip with the Same Vision Encoder, by Siting Li et al.
Exploring How Generative MLLMs Perceive More Than CLIP with the Same Vision Encoderby Siting Li,…
Summary of Theoretically Informed Selection Of Latent Activation in Autoencoder Based Recommender Systems, by Aviad Susman
Theoretically informed selection of latent activation in autoencoder based recommender systemsby Aviad SusmanFirst submitted to…
Summary of Navigating Extremes: Dynamic Sparsity in Large Output Spaces, by Nasib Ullah and Erik Schultheis and Mike Lasby and Yani Ioannou and Rohit Babbar
Navigating Extremes: Dynamic Sparsity in Large Output Spacesby Nasib Ullah, Erik Schultheis, Mike Lasby, Yani…
Summary of Time-causal Vae: Robust Financial Time Series Generator, by Beatrice Acciaio et al.
Time-Causal VAE: Robust Financial Time Series Generatorby Beatrice Acciaio, Stephan Eckstein, Songyan HouFirst submitted to…
Summary of Mm-embed: Universal Multimodal Retrieval with Multimodal Llms, by Sheng-chieh Lin et al.
MM-Embed: Universal Multimodal Retrieval with Multimodal LLMsby Sheng-Chieh Lin, Chankyu Lee, Mohammad Shoeybi, Jimmy Lin,…
Summary of Collaborative Cognitive Diagnosis with Disentangled Representation Learning For Learner Modeling, by Weibo Gao et al.
Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modelingby Weibo Gao, Qi Liu, Linan…
Summary of Bridge-if: Learning Inverse Protein Folding with Markov Bridges, by Yiheng Zhu et al.
Bridge-IF: Learning Inverse Protein Folding with Markov Bridgesby Yiheng Zhu, Jialu Wu, Qiuyi Li, Jiahuan…