Summary of Keeping Llms Aligned After Fine-tuning: the Crucial Role Of Prompt Templates, by Kaifeng Lyu et al.
Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templatesby Kaifeng Lyu, Haoyu Zhao,…
Summary of Generalizability Under Sensor Failure: Tokenization + Transformers Enable More Robust Latent Spaces, by Geeling Chau et al.
Generalizability Under Sensor Failure: Tokenization + Transformers Enable More Robust Latent Spacesby Geeling Chau, Yujin…
Summary of Diffusion Language Models Are Versatile Protein Learners, by Xinyou Wang et al.
Diffusion Language Models Are Versatile Protein Learnersby Xinyou Wang, Zaixiang Zheng, Fei Ye, Dongyu Xue,…
Summary of Approaching Human-level Forecasting with Language Models, by Danny Halawi et al.
Approaching Human-Level Forecasting with Language Modelsby Danny Halawi, Fred Zhang, Chen Yueh-Han, Jacob SteinhardtFirst submitted…
Summary of Arithmetic Control Of Llms For Diverse User Preferences: Directional Preference Alignment with Multi-objective Rewards, by Haoxiang Wang et al.
Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewardsby Haoxiang…
Summary of Stochastic Contextual Bandits with Graph Feedback: From Independence Number to Mas Number, by Yuxiao Wen et al.
Stochastic contextual bandits with graph feedback: from independence number to MAS numberby Yuxiao Wen, Yanjun…
Summary of Meta-task: a Method-agnostic Framework For Learning to Regularize in Few-shot Learning, by Mohammad Rostami et al.
Meta-Task: A Method-Agnostic Framework for Learning to Regularize in Few-Shot Learningby Mohammad Rostami, Atik Faysal,…
Summary of Mmsr: Symbolic Regression Is a Multi-modal Information Fusion Task, by Yanjie Li et al.
MMSR: Symbolic Regression is a Multi-Modal Information Fusion Taskby Yanjie Li, Jingyi Liu, Weijun Li,…
Summary of Impact Of Network Topology on the Performance Of Decentralized Federated Learning, by Luigi Palmieri and Chiara Boldrini and Lorenzo Valerio and Andrea Passarella and Marco Conti
Impact of network topology on the performance of Decentralized Federated Learningby Luigi Palmieri, Chiara Boldrini,…
Summary of Forml: a Riemannian Hessian-free Method For Meta-learning on Stiefel Manifolds, by Hadi Tabealhojeh et al.
FORML: A Riemannian Hessian-free Method for Meta-learning on Stiefel Manifoldsby Hadi Tabealhojeh, Soumava Kumar Roy,…