Summary of Imitating Language Via Scalable Inverse Reinforcement Learning, by Markus Wulfmeier et al.
Imitating Language via Scalable Inverse Reinforcement Learningby Markus Wulfmeier, Michael Bloesch, Nino Vieillard, Arun Ahuja,…
Summary of Supervised Pattern Recognition Involving Skewed Feature Densities, by Alexandre Benatti et al.
Supervised Pattern Recognition Involving Skewed Feature Densitiesby Alexandre Benatti, Luciano da F. CostaFirst submitted to…
Summary of Non-instructional Fine-tuning: Enabling Instruction-following Capabilities in Pre-trained Language Models Without Instruction-following Data, by Juncheng Xie et al.
Non-instructional Fine-tuning: Enabling Instruction-Following Capabilities in Pre-trained Language Models without Instruction-Following Databy Juncheng Xie, Shensian…
Summary of A Survey Of the Self Supervised Learning Mechanisms For Vision Transformers, by Asifullah Khan et al.
A Survey of the Self Supervised Learning Mechanisms for Vision Transformersby Asifullah Khan, Anabia Sohail,…
Summary of Entropic Distribution Matching in Supervised Fine-tuning Of Llms: Less Overfitting and Better Diversity, by Ziniu Li et al.
Entropic Distribution Matching in Supervised Fine-tuning of LLMs: Less Overfitting and Better Diversityby Ziniu Li,…
Summary of Cw-cnn & Cw-an: Convolutional Networks and Attention Networks For Cw-complexes, by Rahul Khorana
CW-CNN & CW-AN: Convolutional Networks and Attention Networks for CW-Complexesby Rahul KhoranaFirst submitted to arxiv…
Summary of Targeted Cause Discovery with Data-driven Learning, by Jang-hyun Kim et al.
Targeted Cause Discovery with Data-Driven Learningby Jang-Hyun Kim, Claudia Skok Gibbs, Sangdoo Yun, Hyun Oh…
Summary of Towards Reliable Respiratory Disease Diagnosis Based on Cough Sounds and Vision Transformers, by Qian Wang et al.
Towards reliable respiratory disease diagnosis based on cough sounds and vision transformersby Qian Wang, Zhaoyang…
Summary of Bi-factorial Preference Optimization: Balancing Safety-helpfulness in Language Models, by Wenxuan Zhang et al.
Bi-Factorial Preference Optimization: Balancing Safety-Helpfulness in Language Modelsby Wenxuan Zhang, Philip H.S. Torr, Mohamed Elhoseiny,…
Summary of Unsupervised-to-online Reinforcement Learning, by Junsu Kim et al.
Unsupervised-to-Online Reinforcement Learningby Junsu Kim, Seohong Park, Sergey LevineFirst submitted to arxiv on: 27 Aug…