no code implementations • 5 Feb 2024 • Supriyo Ghosh, Karish Grover, Jimmy Wong, Chetan Bansal, Rakesh Namineni, Mohit Verma, Saravan Rajmohan
In this paper, we propose the dependency-aware incident linking (DiLink) framework which leverages both textual and service dependency graph information to improve the accuracy and coverage of incident links not only coming from same service, but also from different services and workloads.
no code implementations • 24 Jan 2024 • Xuchao Zhang, Supriyo Ghosh, Chetan Bansal, Rujia Wang, Minghua Ma, Yu Kang, Saravan Rajmohan
The results reveal that our in-context learning approach outperforms the previous fine-tuned large language models such as GPT-3 by an average of 24. 8\% across all metrics, with an impressive 49. 7\% improvement over the zero-shot model.
no code implementations • 15 Feb 2023 • Milashini Nambiar, Supriyo Ghosh, Priscilla Ong, Yu En Chan, Yong Mong Bee, Pavitra Krishnaswamy
There is increasing interest in data-driven approaches for recommending optimal treatment strategies in many chronic disease management and critical care applications.
no code implementations • 10 Jan 2023 • Toufique Ahmed, Supriyo Ghosh, Chetan Bansal, Thomas Zimmermann, Xuchao Zhang, Saravan Rajmohan
In this work, we do the first large-scale study to evaluate the effectiveness of these models for helping engineers root cause and mitigate production incidents.
no code implementations • 27 Feb 2022 • Supriyo Ghosh, Laura Wynter, Shiau Hong Lim, Duc Thien Nguyen
We propose a framework, called neural-progressive hedging (NP), that leverages stochastic programming during the online phase of executing a reinforcement learning (RL) policy.
no code implementations • 31 May 2021 • Amar Prakash Azad, Supriyo Ghosh, Ajay Gupta, Harshit Kumar, Prateeti Mohapatra
We propose a combination of unsupervised and supervised model with minimum human intervention that leverages domain knowledge to predict artefacts for a small amount of conversation data and use that for fine-tuning an already pretrained language model for artefact prediction on a large amount of conversation data.
no code implementations • 3 Apr 2020 • Supriyo Ghosh, Sean Laguna, Shiau Hong Lim, Laura Wynter, Hasan Poonawala
Air traffic control is an example of a highly challenging operational problem that is readily amenable to human expertise augmentation via decision support technologies.
1 code implementation • 3 Apr 2018 • Kamal Choudhary, Adam J. Biacchi, Supriyo Ghosh, Lucas Hale, Angela R. Hight Walker, Francesca Tavazza
Using some of the example cases, we show how our data can be used to directly compare different FFs for a material and to interpret experimental findings such as using Wulff construction for predicting equilibrium shape of nanoparticles.
Materials Science