Summary of Extracting Prompts by Inverting Llm Outputs, By Collin Zhang et al.
Extracting Prompts by Inverting LLM Outputsby Collin Zhang, John X. Morris, Vitaly ShmatikovFirst submitted to…
Extracting Prompts by Inverting LLM Outputsby Collin Zhang, John X. Morris, Vitaly ShmatikovFirst submitted to…
What Variables Affect Out-of-Distribution Generalization in Pretrained Models?by Md Yousuf Harun, Kyungbok Lee, Jhair Gallardo,…
Automated Loss function Search for Class-imbalanced Node Classificationby Xinyu Guo, Kai Wu, Xiaoyu Zhang, Jing…
LIRE: listwise reward enhancement for preference alignmentby Mingye Zhu, Yi Liu, Lei Zhang, Junbo Guo,…
Contrastive Dual-Interaction Graph Neural Network for Molecular Property Predictionby Zexing Zhao, Guangsi Shi, Xiaopeng Wu,…
A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Modelby…
Position: Understanding LLMs Requires More Than Statistical Generalizationby Patrik Reizinger, Szilvia Ujváry, Anna Mészáros, Anna…
KITE: A Kernel-based Improved Transferability Estimation Methodby Yunhui GuoFirst submitted to arxiv on: 1 May…
UQA: Corpus for Urdu Question Answeringby Samee Arif, Sualeha Farid, Awais Athar, Agha Ali RazaFirst…
On the Universality of Self-Supervised Representation Learningby Wenwen Qiang, Jingyao Wang, Lingyu Si, Chuxiong Sun,…