166 citations · 171 across the 6 of their papers we have counts for
7 papers
ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks
Saurabh Jha, Rohan Arora, Yuji Watanabe +40
Realizing the vision of using AI agents to automate critical IT tasks depends on the ability to measure and understand effectiveness of proposed solutions. We introduce ITBench, a…
ScriptSmith: A Unified LLM Framework for Enhancing IT Operations via Automated Bash Script Generation, Assessment, and Refinement
Oishik Chatterjee, Pooja Aggarwal, Suranjana Samanta +8
In the rapidly evolving landscape of site reliability engineering (SRE), the demand for efficient and effective solutions to manage and resolve issues in site and cloud application…
No Rumours Please! A Multi-Indic-Lingual Approach for COVID Fake-Tweet Detection
Debanjana Kar, Mohit Bhardwaj, Suranjana Samanta +1
The sudden widespread menace created by the present global pandemic COVID-19 has had an unprecedented effect on our lives. Man-kind is going through humongous fear and dependence o…
Meta-Context Transformers for Domain-Specific Response Generation
Debanjana Kar, Suranjana Samanta, Amar Prakash Azad
Despite the tremendous success of neural dialogue models in recent years, it suffers a lack of relevance, diversity, and some times coherence in generated responses. Lately, transf…
Carbon to Diamond: An Incident Remediation Assistant System From Site Reliability Engineers' Conversations in Hybrid Cloud Operations
Suranjana Samanta, Ajay Gupta, Prateeti Mohapatra +1
Conversational channels are changing the landscape of hybrid cloud service management. These channels are becoming important avenues for Site Reliability Engineers (SREs) %Subject…
Addressing target shift in zero-shot learning using grouped adversarial learning
Saneem Ahmed Chemmengath, Soumava Paul, Samarth Bharadwaj +2
Zero-shot learning (ZSL) algorithms typically work by exploiting attribute correlations to be able to make predictions in unseen classes. However, these correlations do not remain…
Towards Crafting Text Adversarial Samples
Suranjana Samanta, Sameep Mehta
Adversarial samples are strategically modified samples, which are crafted with the purpose of fooling a classifier at hand. An attacker introduces specially crafted adversarial sam…