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 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 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 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 Statistic Maximal Leakage Shuaiqi Wang, Zinan Lin, Giulia Fanti IEEE International Symposium on Information Theory 2024 | July 2024 Project
Publication Explaining Length Bias in LLM-Based Preference Evaluations Zhengyu Hu, Linxin Song, Jieyu Zhang, Zheyuan Xiao, Jingang Wang, Zhenyu Chen, Jieyu Zhao, Hui Xiong July 2024 arXiv | July 2024
Publication The Art of Saying No: Contextual Noncompliance in Language Models Faeze Brahman, Sachin Kumar, Vidhisha Balachandran, Pradeep Dasigi, Valentina Pyatkin, Abhilasha Ravichander, Sarah Wiegreffe, Nouha Dziri, K. Chandu, Jack Hessel, Yulia Tsvetkov, Noah A. Smith, Yejin Choi, Hanna Hajishirzi, Vidhisha Balachandran NeurIPS 2024 | July 2024
Publication Can LLMs be Fooled? Investigating Vulnerabilities in LLMs Sara Abdali, Jia He, CJ Barberan, Richard Anarfi July 2024 arXiv | 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 Exploring LLM-based Agents for Root Cause Analysis Devjeet Roy, Xuchao Zhang, Rashi Bhave, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan FSE ’24: 32nd ACM International Conference on the Foundations of Software Engineering | July 2024 Project