Publication Quantifying the Gain in Weak-to-Strong Generalization Moses Charikar, Chirag Pabbaraju, Kirankumar Shiragur NeurIPS 2024 | May 2024
Publication Efficient Adversarial Training in LLMs with Continuous Attacks Sophie Xhonneux, Alessandro Sordoni, Stephan Günnemann, Gauthier Gidel, Leo Schwinn NeurIPS 2024 | May 2024
Publication CulturePark: Boosting Cross-cultural Understanding in Large Language Models Cheng Li, Damien Teney, Linyi Yang, Qingsong Wen, Xing Xie, Jindong Wang NeurIPS 2024 | May 2024
Publication Opportunities and risks of large language models in psychiatry Nick Obradovich, S. Khalsa, Waqas U. Khan, Jina Suh, Roy H. Perlis, Olusola A Ajilore, Martin P. Paulus NPP—Digital Psychiatry and Neuroscience | May 2024
Publication Small Language Models for Application Interactions: A Case Study Beibin Li, Yi Zhang, Sébastien Bubeck, Jeevan Pathuri, Ishai Menache May 2024 arXiv | May 2024 Project
Publication GMConv: Modulating Effective Receptive Fields for Convolutional Kernels. Qi Chen, Chao Li, Jia Ning, Stephen Lin, Kun He IEEE Transactions on Neural Networks and Learning Systems | May 2024
Publication A whole-slide foundation model for digital pathology from real-world data Hanwen Xu, Naoto Usuyama, Jaspreet Bagga, Sheng Zhang, Rajesh Rao, Tristan Naumann, Cliff Wong, Zelalem Gero, Javier González, Yu Gu, Yanbo Xu, Mu-Hsin Wei, Wenhui Wang, Shuming Ma, Furu Wei, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Jaylen Rosemon, Tucker Bower, Soohee Lee, R. Weerasinghe, Bill Wright, Ari Robicsek, Brian Piening, Carlo Bifulco, Sheng Wang, Hoifung Poon Nature | May 2024
Publication xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token Xin Cheng, Xun Wang, Xingxing Zhang, Tao Ge, Si-Qing Chen, Furu Wei, Huishuai Zhang, Dongyan Zhao NeurIPS 2024 | May 2024
Publication To Err Is Human, How about Medical Large Language Models? Comparing Pre-trained Language Models for Medical Assessment Errors and Reliability Wen-wai Yim, Yujuan Fu, Asma Ben Abacha, Meliha Yetisgen LREC-COLING 2024 | May 2024
Publication MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning Ting Jiang, Shaohan Huang, Shengyue Luo, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang, Deqing Wang, Fuzhen Zhuang May 2024 arXiv | May 2024