Summary of Flashst: a Simple and Universal Prompt-tuning Framework For Traffic Prediction, by Zhonghang Li et al.
FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Predictionby Zhonghang Li, Lianghao Xia, Yong…
Summary of Boosting Protein Language Models with Negative Sample Mining, by Yaoyao Xu et al.
Boosting Protein Language Models with Negative Sample Miningby Yaoyao Xu, Xinjian Zhao, Xiaozhuang Song, Benyou…
Summary of Cycle-yolo: a Efficient and Robust Framework For Pavement Damage Detection, by Zhengji Li et al.
Cycle-YOLO: A Efficient and Robust Framework for Pavement Damage Detectionby Zhengji Li, Xi Xiao, Jiacheng…
Summary of Mechanistic Interpretability Of Binary and Ternary Transformers, by Jason Li
Mechanistic Interpretability of Binary and Ternary Transformersby Jason LiFirst submitted to arxiv on: 27 May…
Summary of Opera: Automatic Offline Policy Evaluation with Re-weighted Aggregates Of Multiple Estimators, by Allen Nie et al.
OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimatorsby Allen Nie, Yash Chandak,…
Summary of Ai Alignment with Changing and Influenceable Reward Functions, by Micah Carroll et al.
AI Alignment with Changing and Influenceable Reward Functionsby Micah Carroll, Davis Foote, Anand Siththaranjan, Stuart…
Summary of Claim Your Data: Enhancing Imputation Accuracy with Contextual Large Language Models, by Ahatsham Hayat and Mohammad Rashedul Hasan
CLAIM Your Data: Enhancing Imputation Accuracy with Contextual Large Language Modelsby Ahatsham Hayat, Mohammad Rashedul…
Summary of Adapnet: Adaptive Noise-based Network For Low-quality Image Retrieval, by Sihe Zhang et al.
AdapNet: Adaptive Noise-Based Network for Low-Quality Image Retrievalby Sihe Zhang, Qingdong He, Jinlong Peng, Yuxi…
Summary of Mindformer: Semantic Alignment Of Multi-subject Fmri For Brain Decoding, by Inhwa Han et al.
MindFormer: Semantic Alignment of Multi-Subject fMRI for Brain Decodingby Inhwa Han, Jaayeon Lee, Jong Chul…
Summary of Mmpareto: Boosting Multimodal Learning with Innocent Unimodal Assistance, by Yake Wei and Di Hu
MMPareto: Boosting Multimodal Learning with Innocent Unimodal Assistanceby Yake Wei, Di HuFirst submitted to arxiv…