Summary of Small but Funny: a Feedback-driven Approach to Humor Distillation, by Sahithya Ravi et al.
Small But Funny: A Feedback-Driven Approach to Humor Distillationby Sahithya Ravi, Patrick Huber, Akshat Shrivastava,…
Summary of Multiple Instance Learning For Glioma Diagnosis Using Hematoxylin and Eosin Whole Slide Images: An Indian Cohort Study, by Ekansh Chauhan et al.
Multiple Instance Learning for Glioma Diagnosis using Hematoxylin and Eosin Whole Slide Images: An Indian…
Summary of Composing Reinforcement Learning Policies, with Formal Guarantees, by Florent Delgrange et al.
Composing Reinforcement Learning Policies, with Formal Guaranteesby Florent Delgrange, Guy Avni, Anna Lukina, Christian Schilling,…
Summary of Elad: Explanation-guided Large Language Models Active Distillation, by Yifei Zhang et al.
ELAD: Explanation-Guided Large Language Models Active Distillationby Yifei Zhang, Bo Pan, Chen Ling, Yuntong Hu,…
Summary of Data Distribution Distilled Generative Model For Generalized Zero-shot Recognition, by Yijie Wang and Mingjian Hong and Luwen Huangfu and Sheng Huang
Data Distribution Distilled Generative Model for Generalized Zero-Shot Recognitionby Yijie Wang, Mingjian Hong, Luwen Huangfu,…
Summary of Distillation Enhanced Generative Retrieval, by Yongqi Li et al.
Distillation Enhanced Generative Retrievalby Yongqi Li, Zhen Zhang, Wenjie Wang, Liqiang Nie, Wenjie Li, Tat-Seng…
Summary of Undial: Self-distillation with Adjusted Logits For Robust Unlearning in Large Language Models, by Yijiang River Dong et al.
UNDIAL: Self-Distillation with Adjusted Logits for Robust Unlearning in Large Language Modelsby Yijiang River Dong,…
Summary of Contextualization Distillation From Large Language Model For Knowledge Graph Completion, by Dawei Li et al.
Contextualization Distillation from Large Language Model for Knowledge Graph Completionby Dawei Li, Zhen Tan, Tianlong…
Summary of Dual-student Knowledge Distillation Networks For Unsupervised Anomaly Detection, by Liyi Yao et al.
Dual-Student Knowledge Distillation Networks for Unsupervised Anomaly Detectionby Liyi Yao, Shaobing GaoFirst submitted to arxiv…
Summary of Enhancing End-to-end Multi-task Dialogue Systems: a Study on Intrinsic Motivation Reinforcement Learning Algorithms For Improved Training and Adaptability, by Navin Kamuni et al.
Enhancing End-to-End Multi-Task Dialogue Systems: A Study on Intrinsic Motivation Reinforcement Learning Algorithms for Improved…