Summary of Ve: Modeling Multivariate Time Series Correlation with Variate Embedding, by Shangjiong Wang et al.
VE: Modeling Multivariate Time Series Correlation with Variate Embeddingby Shangjiong Wang, Zhihong Man, Zhenwei Cao,…
Summary of Stun: Structured-then-unstructured Pruning For Scalable Moe Pruning, by Jaeseong Lee et al.
STUN: Structured-Then-Unstructured Pruning for Scalable MoE Pruningby Jaeseong Lee, seung-won hwang, Aurick Qiao, Daniel F…
Summary of Alt-moe:a Scalable Framework For Bidirectional Multimodal Alignment and Efficient Knowledge Integration, by Hongyang Lei et al.
Alt-MoE:A Scalable Framework for Bidirectional Multimodal Alignment and Efficient Knowledge Integrationby Hongyang Lei, Xiaolong Cheng,…
Summary of Interpretable Mixture Of Experts For Time Series Prediction Under Recurrent and Non-recurrent Conditions, by Zemian Ke et al.
Interpretable mixture of experts for time series prediction under recurrent and non-recurrent conditionsby Zemian Ke,…
Summary of Olmoe: Open Mixture-of-experts Language Models, by Niklas Muennighoff et al.
OLMoE: Open Mixture-of-Experts Language Modelsby Niklas Muennighoff, Luca Soldaini, Dirk Groeneveld, Kyle Lo, Jacob Morrison,…
Summary of Beyond Parameter Count: Implicit Bias in Soft Mixture Of Experts, by Youngseog Chung et al.
Beyond Parameter Count: Implicit Bias in Soft Mixture of Expertsby Youngseog Chung, Dhruv Malik, Jeff…
Summary of Auxiliary-loss-free Load Balancing Strategy For Mixture-of-experts, by Lean Wang et al.
Auxiliary-Loss-Free Load Balancing Strategy for Mixture-of-Expertsby Lean Wang, Huazuo Gao, Chenggang Zhao, Xu Sun, Damai…
Summary of Advancing Enterprise Spatio-temporal Forecasting Applications: Data Mining Meets Instruction Tuning Of Language Models For Multi-modal Time Series Analysis in Low-resource Settings, by Sagar Srinivas Sakhinana et al.
Advancing Enterprise Spatio-Temporal Forecasting Applications: Data Mining Meets Instruction Tuning of Language Models For Multi-modal…
Summary of The Ultimate Guide to Fine-tuning Llms From Basics to Breakthroughs: An Exhaustive Review Of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities, by Venkatesh Balavadhani Parthasarathy et al.
The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies,…
Summary of Sql-gen: Bridging the Dialect Gap For Text-to-sql Via Synthetic Data and Model Merging, by Mohammadreza Pourreza et al.
SQL-GEN: Bridging the Dialect Gap for Text-to-SQL Via Synthetic Data And Model Mergingby Mohammadreza Pourreza,…