Summary of Crafting Efficient Fine-tuning Strategies For Large Language Models, by Michael Oliver and Guan Wang
Crafting Efficient Fine-Tuning Strategies for Large Language Modelsby Michael Oliver, Guan WangFirst submitted to arxiv…
Summary of Continual Distillation Learning: Knowledge Distillation in Prompt-based Continual Learning, by Qifan Zhang et al.
Continual Distillation Learning: Knowledge Distillation in Prompt-based Continual Learningby Qifan Zhang, Yunhui Guo, Yu XiangFirst…
Summary of Synthetic Counterfactual Faces, by Guruprasad V Ramesh et al.
Synthetic Counterfactual Facesby Guruprasad V Ramesh, Harrison Rosenberg, Ashish Hooda, Shimaa Ahmed Kassem FawazFirst submitted…
Summary of Instance Selection For Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization, by Carolin Benjamins et al.
Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalizationby Carolin Benjamins, Gjorgjina Cenikj,…
Summary of Model-based Policy Optimization Using Symbolic World Model, by Andrey Gorodetskiy et al.
Model-based Policy Optimization using Symbolic World Modelby Andrey Gorodetskiy, Konstantin Mironov, Aleksandr PanovFirst submitted to…
Summary of Indic Qa Benchmark: a Multilingual Benchmark to Evaluate Question Answering Capability Of Llms For Indic Languages, by Abhishek Kumar Singh et al.
INDIC QA BENCHMARK: A Multilingual Benchmark to Evaluate Question Answering capability of LLMs for Indic…
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 Meshfeat: Multi-resolution Features For Neural Fields on Meshes, by Mihir Mahajan and Florian Hofherr and Daniel Cremers
MeshFeat: Multi-Resolution Features for Neural Fields on Meshesby Mihir Mahajan, Florian Hofherr, Daniel CremersFirst submitted…
Summary of Evaluating the Performance-deviation Of Itemknn in Recbole and Lenskit, by Michael Schmidt et al.
Evaluating the performance-deviation of itemKNN in RecBole and LensKitby Michael Schmidt, Jannik Nitschke, Tim PrinzFirst…
Summary of Energydiff: Universal Time-series Energy Data Generation Using Diffusion Models, by Nan Lin et al.
EnergyDiff: Universal Time-Series Energy Data Generation using Diffusion Modelsby Nan Lin, Peter Palensky, Pedro P.…