Publication How Far Can Fairness Constraints Help Recover From Biased Data? Mohit Sharma, Amit Deshpande ICML 2024 | July 2024
Publication Report on The Search Futures Workshop at ECIR 2024 Leif Azzopardi, Charles L. A. Clarke, Paul Kantor, Bhaskar Mitra, Johanne R. Trippas, Zhaochun Ren SIGIR Forum | July 2024
Publication Language-guided Skill Learning with Temporal Variational Inference Haotian Fu, Pratyusha Sharma, Elias Stengel-Eskin, George Konidaris, Nicolas Le Roux, Marc-Alexandre Côté, Xingdi Yuan ICML 2024 | July 2024
Publication nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training Zhiqi Lin, Youshan Miao, Quanlu Zhang, Fan Yang, Yi Zhu, Cheng Li, Saeed Maleki, Xu Cao, Ning Shang, Yilei Yang, Weijiang Xu, Mao Yang, Lintao Zhang, Lidong Zhou OSDI | July 2024 Github
Publication Statistic Maximal Leakage Shuaiqi Wang, Zinan Lin, Giulia Fanti IEEE International Symposium on Information Theory 2024 | July 2024 Project
Publication OAK: Enriching Document Representations using Auxiliary Knowledge for Extreme Classification Shikhar Mohan, Deepak Saini, Anshul Mittal, Sayak Roy Chowdhury, Bhawna Paliwal, Jian Jiao, Manish Gupta, Manik Varma 2024 International Conference on Machine Learning | July 2024
Publication The CoExplorer Technology Probe: A Generative AI-Powered Adaptive Interface to Support Intentionality in Planning and Running Video Meetings Gun Woo (Warren) Park, Payod Panda, Lev Tankelevitch, Sean Rintel DIS 2024 | July 2024 Project Project
Publication MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models Zhaoyang Yu, Minghua Ma, Chaoyun Zhang, Si Qin, Yu Kang, Chetan Bansal, Saravan Rajmohan, Yingnong Dang, Changhua Pei, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang ESEC/FSE’24 Industry Track | July 2024
Publication Class-Level Code Generation from Natural Language Using Iterative, Tool-Enhanced Reasoning over Repository Ajinkya Deshpande, Anmol Agarwal, Shashank Shet, Arun Iyer, Aditya Kanade, Ramakrishna Bairi, Suresh Parthasarathy International Conference on Machine Learning Workshop on Data-Centric Machine Learning Research (DMLR-ICML) | July 2024 Github
Publication Can LLMs be Fooled? Investigating Vulnerabilities in LLMs Sara Abdali, Jia He, CJ Barberan, Richard Anarfi July 2024