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 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
Publication RUBICON: Rubric-based Evaluation of Domain Specific Human-AI Conversations Param Biyani, Yasharth Bajpai, Arjun Radhakrishna, Gustavo Soares, Sumit Gulwani AIware: Proceedings of the 1st ACM International Conference on AI-Powered Software | July 2024 Best Paper Presentation Award
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 CORE: Resolving Code Quality Issues using LLMs Nalin Wadhwa, Jui Pradhan, Atharv Sonwane, Surya Prakash Sahu, Nagarajan Natarajan, Aditya Kanade (kanadeaditya), Suresh Parthasarathy (supartha), Sriram Rajamani (sriram) FSE | July 2024
Publication Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs Enshu Liu, Junyi Zhu, Zinan Lin, Xuefei Ning, Matthew B. Blaschko, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang June 2024 arXiv | June 2024