Summary of Understanding the Performance and Estimating the Cost Of Llm Fine-tuning, by Yuchen Xia et al.
Understanding the Performance and Estimating the Cost of LLM Fine-Tuningby Yuchen Xia, Jiho Kim, Yuhan…
Summary of Hmdn: Hierarchical Multi-distribution Network For Click-through Rate Prediction, by Xingyu Lou et al.
HMDN: Hierarchical Multi-Distribution Network for Click-Through Rate Predictionby Xingyu Lou, Yu Yang, Kuiyao Dong, Heyuan…
Summary of Moma: Efficient Early-fusion Pre-training with Mixture Of Modality-aware Experts, by Xi Victoria Lin and Akshat Shrivastava and Liang Luo and Srinivasan Iyer and Mike Lewis and Gargi Ghosh and Luke Zettlemoyer and Armen Aghajanyan
MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Expertsby Xi Victoria Lin, Akshat Shrivastava, Liang…
Summary of Distribution Learning For Molecular Regression, by Nima Shoghi et al.
Distribution Learning for Molecular Regressionby Nima Shoghi, Pooya Shoghi, Anuroop Sriram, Abhishek DasFirst submitted to…
Summary of Time Series Forecasting with High Stakes: a Field Study Of the Air Cargo Industry, by Abhinav Garg et al.
Time series forecasting with high stakes: A field study of the air cargo industryby Abhinav…
Summary of Wonderful Matrices: More Efficient and Effective Architecture For Language Modeling Tasks, by Jingze Shi and Bingheng Wu and Lu He and Luchang Jiang
Wonderful Matrices: More Efficient and Effective Architecture for Language Modeling Tasksby Jingze Shi, Bingheng Wu,…
Summary of Stretching Each Dollar: Diffusion Training From Scratch on a Micro-budget, by Vikash Sehwag et al.
Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budgetby Vikash Sehwag, Xianghao Kong, Jingtao…
Summary of Discussion: Effective and Interpretable Outcome Prediction by Training Sparse Mixtures Of Linear Experts, By Francesco Folino et al.
Discussion: Effective and Interpretable Outcome Prediction by Training Sparse Mixtures of Linear Expertsby Francesco Folino,…
Summary of Mixture Of Experts Based Multi-task Supervise Learning From Crowds, by Tao Han et al.
Mixture of Experts based Multi-task Supervise Learning from Crowdsby Tao Han, Huaixuan Shi, Xinyi Ding,…
Summary of Dlo: Dynamic Layer Operation For Efficient Vertical Scaling Of Llms, by Zhen Tan et al.
DLO: Dynamic Layer Operation for Efficient Vertical Scaling of LLMsby Zhen Tan, Daize Dong, Xinyu…