Summary of Urban Region Pre-training and Prompting: a Graph-based Approach, by Jiahui Jin et al.
Urban Region Pre-training and Prompting: A Graph-based Approachby Jiahui Jin, Yifan Song, Dong Kan, Haojia…
Urban Region Pre-training and Prompting: A Graph-based Approachby Jiahui Jin, Yifan Song, Dong Kan, Haojia…
Performance Metric for Multiple Anomaly Score Distributions with Discrete Severity Levelsby Wonjun Yi, Yong-Hwa Park,…
miniCTX: Neural Theorem Proving with (Long-)Contextsby Jiewen Hu, Thomas Zhu, Sean WelleckFirst submitted to arxiv…
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuningby Jiapeng Zhu, Zichen Ding, Jianxiang Yu, Jiaqi…
Recording First-person Experiences to Build a New Type of Foundation Modelby Dionis Barcari, David Gamez,…
Coarse Correspondences Boost Spatial-Temporal Reasoning in Multimodal Language Modelby Benlin Liu, Yuhao Dong, Yiqin Wang,…
Automatic Generation of Behavioral Test Cases For Natural Language Processing Using Clustering and Promptingby Ying…
Prompting Medical Large Vision-Language Models to Diagnose Pathologies by Visual Question Answeringby Danfeng Guo, Demetri…
AI-Assisted Generation of Difficult Math Questionsby Vedant Shah, Dingli Yu, Kaifeng Lyu, Simon Park, Jiatong…
CP-Prompt: Composition-Based Cross-modal Prompting for Domain-Incremental Continual Learningby Yu Feng, Zhen Tian, Yifan Zhu, Zongfu…