Summary of Self-distilled Disentangled Learning For Counterfactual Prediction, by Xinshu Li et al.
Self-Distilled Disentangled Learning for Counterfactual Predictionby Xinshu Li, Mingming Gong, Lina YaoFirst submitted to arxiv…
Summary of Omnicontrolnet: Dual-stage Integration For Conditional Image Generation, by Yilin Wang et al.
OmniControlNet: Dual-stage Integration for Conditional Image Generationby Yilin Wang, Haiyang Xu, Xiang Zhang, Zeyuan Chen,…
Summary of Starling: Self-supervised Training Of Text-based Reinforcement Learning Agent with Large Language Models, by Shreyas Basavatia et al.
STARLING: Self-supervised Training of Text-based Reinforcement Learning Agent with Large Language Modelsby Shreyas Basavatia, Keerthiram…
Summary of Zero-shot End-to-end Spoken Question Answering in Medical Domain, by Yanis Labrak et al.
Zero-Shot End-To-End Spoken Question Answering In Medical Domainby Yanis Labrak, Adel Moumen, Richard Dufour, Mickael…
Summary of Lgr2: Language Guided Reward Relabeling For Accelerating Hierarchical Reinforcement Learning, by Utsav Singh et al.
LGR2: Language Guided Reward Relabeling for Accelerating Hierarchical Reinforcement Learningby Utsav Singh, Pramit Bhattacharyya, Vinay…
Summary of Distributional Preference Alignment Of Llms Via Optimal Transport, by Igor Melnyk et al.
Distributional Preference Alignment of LLMs via Optimal Transportby Igor Melnyk, Youssef Mroueh, Brian Belgodere, Mattia…
Summary of Information Theoretic Guarantees For Policy Alignment in Large Language Models, by Youssef Mroueh
Information Theoretic Guarantees For Policy Alignment In Large Language Modelsby Youssef MrouehFirst submitted to arxiv…
Summary of Event Prediction and Causality Inference Despite Incomplete Information, by Harrison Lam et al.
Event prediction and causality inference despite incomplete informationby Harrison Lam, Yuanjie Chen, Noboru Kanazawa, Mohammad…
Summary of Few-shot Load Forecasting Under Data Scarcity in Smart Grids: a Meta-learning Approach, by Georgios Tsoumplekas et al.
Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A Meta-Learning Approachby Georgios Tsoumplekas, Christos…
Summary of Large Language Models Memorize Sensor Datasets! Implications on Human Activity Recognition Research, by Harish Haresamudram et al.
Large Language Models Memorize Sensor Datasets! Implications on Human Activity Recognition Researchby Harish Haresamudram, Hrudhai…