Publication Empowering In-Browser Deep Learning Inference on Edge Devices with Just-in-Time Kernel Optimizations Fucheng Jia, Shiqi Jiang, Ting Cao, Wei Cui, Tianrui Xia, Xu Cao, Yuanchun Li, Qipeng Wang, Deyu Zhang, Ju Ren, Yunxin Liu, Lili Qiu, Mao Yang the 22nd Annual International Conference on Mobile Systems, Applications and Services (MobiSys'24) | June 2024
Publication BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once Theodore Zhao, Yu Gu, Jianwei Yang, Naoto Usuyama, Ho Hin Lee, Tristan Naumann, Jianfeng Gao, Angela Crabtree, B. Piening, Carlo Bifulco, Mu-Hsin Wei, Hoifung Poon, Sheng Wang June 2024 Video
Publication Leveraging Visual Tokens for Extended Text Contexts in Multi-Modal Learning Alex Jinpeng Wang, Linjie Li, Yiqi Lin, Min Li, Lijuan Wang, Mike Zheng Shou NeurIPS 2024 | June 2024
Publication MedFuzz: Exploring the Robustness of Large Language Models in Medical Question Answering Robert Osazuwa Ness, Hayden Helm, Katie Matton, Sheng Zhang, Junaid Bajwa, Carey E. Priebe, Eric Horvitz June 2024
Publication Measuring and shaping the nutritional environment via food sales logs: case studies of campus-wide food choice and a call to action Kristina Gligorić, Robin Zbinden, Arnaud Chiolero, Emre Kiciman, Ryen W. White, Eric Horvitz, Robert West Frontiers in Nutrition | June 2024, Vol 11
Publication SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining Andi Han, Jiaxiang Li, Wei Huang, Mingyi Hong, Akiko Takeda, Pratik Jawanpuria, Bamdev Mishra NeurIPS 2024 | June 2024
Publication MEDIQ: Question-Asking LLMs for Adaptive and Reliable Clinical Reasoning Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, Jonathan Ilgen, Emma Pierson, Pang Wei Koh, Yulia Tsvetkov NeurIPS 2024 | June 2024
Publication Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study Xuefei Ning, Zifu Wang, Shiyao Li, Zinan Lin, Peiran Yao, Tianyu Fu, Matthew B. Blaschko, Guohao Dai, Huazhong Yang, Yu Wang NeurIPS 2024 | June 2024
Publication SIGMA: Secure GPT Inference with Function Secret Sharing Kanav Gupta, Neha Jawalkar, Ananta Mukherjee, Nishanth Chandran, Divya Gupta, Ashish Panwar, Rahul Sharma Privacy Enhancing technologies Symposium (PETS) 2024 | June 2024 Project
Publication Knowledge Distillation in Automated Annotation: Supervised Text Classification with LLM-Generated Training Labels Nick Pangakis, Sam Wolken Sixth Workshop on Natural Language Processing and Computational Social Science (NLP+CSS 2024) | June 2024