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Published Date

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

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

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

Statistic Maximal Leakage

Shuaiqi Wang, Zinan Lin, Giulia Fanti

IEEE International Symposium on Information Theory 2024 | July 2024

Project

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

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

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

Artificial Intelligence

Highlights