출판 Towards an automated Segment Anything Model (SAM) for lesion segmentation in oncological PET/CT images S. Ahamed, Yixi Xu, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres, A. Rahmim 2023 IEEE Nuclear Science Symposium | December 2023 프로젝트
출판 Extracting Self-Consistent Causal Insights from Users Feedback with LLMs and In-context Learning Sara Abdali December 2023
출판 TaskWeaver: A Code-First Agent Framework Bo Qiao, Liqun Li, Xu Zhang, Shilin He, Yu Kang, Chaoyun Zhang, Fangkai Yang, Hang Dong, Jue Zhang, Lu Wang, Minghua Ma, Pu Zhao, Si Qin, Xiaoting Qin, Chao Du, Yong Xu, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang December 2023
출판 LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin 林庆维, Daxin Jiang ICCV’23 | December 2023
출판 On the Efficacy of Differentially Private Few-shot Image Classification Marlon Tobaben, Aliaksandra Shysheya, John Bronskill, Andrew Paverd, Shruti Tople, Santiago Zanella-Béguelin, Richard Turner, Antti Honkela Transactions on Machine Learning Research | December 2023, 제 2023 권 프로젝트
출판 Open Datasheets: Machine-readable Documentation for Open Datasets and Responsible AI Assessments Anthony Cintron Roman, Jennifer Wortman Vaughan, Valerie See, Steph Ballard, Nicolas Schifano, Jehú Torres, Caleb Robinson, Juan M. Lavista Ferres December 2023 Github 프로젝트
출판 Training Private and Efficient Language Models with Synthetic Data from LLMs Da Yu, Arturs Backurs, Sivakanth Gopi, Huseyin Inan, Janardhan (Jana) Kulkarni, Zinan Lin, Chulin Xie, Huishuai Zhang, Wanrong Zhang NeurIPS 2023 SoLaR Workshop | December 2023 프로젝트
출판 Promoting Topic Coherence and Inter-Document Consorts in Multi-Document Summarization via Simplicial Complex and Sheaf Graph Yash Kumar Atri, Arun Iyer, Tanmoy Chakraborty, Vikram Goyal Empirical Methods in Natural Language Processing (EMNLP) | December 2023
출판 Tabular Representation, Noisy Operators, and Impacts on Table Structure Understanding Tasks in LLMs Ananya Singha, José Cambronero, Sumit Gulwani, Vu Le, Chris Parnin Table Representation Learning Workshop at NeurIPS 2023 | December 2023
출판 Differentially Private Approximate Near Neighbor Counting in High Dimensions Alexandr Andoni, Piotr Indyk, Sepideh Mahabadi, Shyam Narayanan NeurIPS 2023 | December 2023 Spotlight Presentation 프로젝트