Summary of A Universal Model For Human Mobility Prediction, by Qingyue Long et al.
A Universal Model for Human Mobility Predictionby Qingyue Long, Yuan Yuan, Yong LiFirst submitted to…
Summary of Learning Disentangled Equivariant Representation For Explicitly Controllable 3d Molecule Generation, by Haoran Liu et al.
Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule Generationby Haoran Liu, Youzhi Luo, Tianxiao…
Summary of A Comprehensive Forecasting Framework Based on Multi-stage Hierarchical Forecasting Reconciliation and Adjustment, by Zhengchao Yang et al.
A Comprehensive Forecasting Framework based on Multi-Stage Hierarchical Forecasting Reconciliation and Adjustmentby Zhengchao Yang, Mithun…
Summary of Adaptive Prompt Tuning: Vision Guided Prompt Tuning with Cross-attention For Fine-grained Few-shot Learning, by Eric Brouwer et al.
Adaptive Prompt Tuning: Vision Guided Prompt Tuning with Cross-Attention for Fine-Grained Few-Shot Learningby Eric Brouwer,…
Summary of Balanced Gradient Sample Retrieval For Enhanced Knowledge Retention in Proxy-based Continual Learning, by Hongye Xu et al.
Balanced Gradient Sample Retrieval for Enhanced Knowledge Retention in Proxy-based Continual Learningby Hongye Xu, Jan…
Summary of Cal-dpo: Calibrated Direct Preference Optimization For Language Model Alignment, by Teng Xiao et al.
Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignmentby Teng Xiao, Yige Yuan, Huaisheng Zhu,…
Summary of Few-shot Steerable Alignment: Adapting Rewards and Llm Policies with Neural Processes, by Katarzyna Kobalczyk et al.
Few-shot Steerable Alignment: Adapting Rewards and LLM Policies with Neural Processesby Katarzyna Kobalczyk, Claudio Fanconi,…
Summary of Alignment Faking in Large Language Models, by Ryan Greenblatt et al.
Alignment faking in large language modelsby Ryan Greenblatt, Carson Denison, Benjamin Wright, Fabien Roger, Monte…
Summary of Videodpo: Omni-preference Alignment For Video Diffusion Generation, by Runtao Liu et al.
VideoDPO: Omni-Preference Alignment for Video Diffusion Generationby Runtao Liu, Haoyu Wu, Zheng Ziqiang, Chen Wei,…
Summary of Energy-based Preference Model Offers Better Offline Alignment Than the Bradley-terry Preference Model, by Yuzhong Hong et al.
Energy-Based Preference Model Offers Better Offline Alignment than the Bradley-Terry Preference Modelby Yuzhong Hong, Hanshan…