Entropic Distribution Matching in Supervised Fine-tuning of LLMs: Less Overfitting and Better Diversityby Ziniu Li,…
Physics of Language Models: Part 2.2, How to Learn From Mistakes on Grade-School Math Problemsby…
LeMON: Learning to Learn Multi-Operator Networksby Jingmin Sun, Zecheng Zhang, Hayden SchaefferFirst submitted to arxiv…
Artificial Neural Network and Deep Learning: Fundamentals and Theoryby M. M. HammadFirst submitted to arxiv…
Exploring Selective Layer Fine-Tuning in Federated Learningby Yuchang Sun, Yuexiang Xie, Bolin Ding, Yaliang Li,…
GIFT-SW: Gaussian noise Injected Fine-Tuning of Salient Weights for LLMsby Maxim Zhelnin, Viktor Moskvoretskii, Egor…
Constrained Diffusion Models via Dual Trainingby Shervin Khalafi, Dongsheng Ding, Alejandro RibeiroFirst submitted to arxiv…
Unsupervised-to-Online Reinforcement Learningby Junsu Kim, Seohong Park, Sergey LevineFirst submitted to arxiv on: 27 Aug…
Efficient fine-tuning of 37-level GraphCast with the Canadian global deterministic analysisby Christopher SubichFirst submitted to…
PAT: Pruning-Aware Tuning for Large Language Modelsby Yijiang Liu, Huanrui Yang, Youxin Chen, Rongyu Zhang,…