Publication How Good are Machine Learning Clouds? Benchmarking Two Snapshots over 5 Years Jiawei Jiang, Yi Wei, Yu Liu, Wentao Wu, Chuang Hu, Zhigao Zheng, Ziyi Zhang, Yingxia Shao, Ce Zhang VLDB Journal | December 2023
Publication Assessing GPT4-V on Structured Reasoning Tasks Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen Preprint | December 2023
Publication The Good, The Bad, and Why: Unveiling Emotions in Generative AI Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Xinyi Wang, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xie ICML 2024 | December 2023
Publication How Far Can Fairness Constraints Help Recover From Biased Data? Mohit Sharma, Amit Deshpande ArXiv | December 2023
Publication Performance Roulette: How Cloud Weather Affects ML-Based System Optimization Johannes Freischuetz, Konstantinos Kanellis, Brian Kroth, Shivaram Venkataraman ML for Systems Workshop at NeurIPS 2023 | December 2023
Publication Importance of Directional Feedback for LLM-based Optimizers Allen Nie, Ching-An Cheng, Andrey Kolobov, Adith Swaminathan NeurIPS 2023 Foundation Models for Decision Making Workshop | December 2023 Project
Publication NASerEx: Optimizing Early Exits via AutoML for Scalable Efficient Inference in Big Image Streams Aakash Kapoor, Rajath Elias Soans, Soham Dixit, Pradeep NS, Brijraj Singh, Mayukh Das IEEE Big Data 2023 | December 2023 Special session on Machine Learning on Big Data (MLBD)
Publication Osprey: Pixel Understanding with Visual Instruction Tuning Yuqian Yuan, Wentong Li, Jian Liu, Dongqi Tang, Xinjie Luo, Chi Qin, Lei Zhang, Jianke Zhu CVPR 2024 | December 2023
Publication Improved Differentially Private and Lazy Online Convex Optimization Naman Agarwal, Satyen Kale, Karan Singh, Abhradeep Thakurta ICML 2024 | December 2023
Publication Binary Code Summarization: Benchmarking ChatGPT/GPT-4 and Other Large Language Models Xin Jin, Jonathan Larson, Weiwei Yang, Zhiqiang Lin December 2023