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ORCIDDebanjana Kar
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2020 – today
- 2025
[c9]Pranjal Gupta, Debanjana Kar, Harshit Kumar, Prateeti Mohapatra, Pooja Aggarwal:
Few-Shot Learning for Structure Extraction from Heterogeneous Log Data. COMSNETS 2025: 694-702- [i7]Saurabh Jha, Rohan R. Arora, Yuji Watanabe, Takumi Yanagawa, Yinfang Chen, Jackson Clark, Bhavya, Mudit Verma, Harshit Kumar, Hirokuni Kitahara, Noah Zheutlin, Saki Takano, Divya Pathak, Felix George, Xinbo Wu, Bekir O. Turkkan, Gerard Vanloo, Michael Nidd, Ting Dai, Oishik Chatterjee, Pranjal Gupta, Suranjana Samanta, Pooja Aggarwal, Rong Lee, Pavankumar Murali, Jae-wook Ahn, Debanjana Kar, Ameet Rahane, Carlos Fonseca, Amit M. Paradkar, Yu Deng, Pratibha Moogi, Prateeti Mohapatra, Naoki Abe, Chandrasekhar Narayanaswami, Tianyin Xu, Lav R. Varshney, Ruchi Mahindru, Anca Sailer, Laura Shwartz, Daby Sow, Nicholas C. Fuller, Ruchir Puri:
ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks. CoRR abs/2502.05352 (2025) - 2024
- [c8]Pranjal Gupta, Prateeti Mohapatra, Debanjana Kar, Seema Nagar, Jae-wook Ahn, Amit M. Paradkar, Mudhakar Srivatsa:
Decoding Logs for Automatic Metric Identification. CLOUD 2024: 336-343 - [i6]Oishik Chatterjee, Pooja Aggarwal, Suranjana Samanta, Ting Dai, Prateeti Mohapatra, Debanjana Kar, Ruchi Mahindru, Steve Barbieri, Eugen Postea, Brad Blancett, Arthur De Magalhaes:
ScriptSmith: A Unified LLM Framework for Enhancing IT Operations via Automated Bash Script Generation, Assessment, and Refinement. CoRR abs/2409.17166 (2024) - 2023
- [c7]Pranjal Gupta, Harshit Kumar, Debanjana Kar, Karan Bhukar, Pooja Aggarwal, Prateeti Mohapatra:
Learning Representations on Logs for AIOps. CLOUD 2023: 155-166 - [i5]Pranjal Gupta, Harshit Kumar, Debanjana Kar, Karan Bhukar, Pooja Aggarwal, Prateeti Mohapatra:
Learning Representations on Logs for AIOps. CoRR abs/2308.11526 (2023) - 2022
- [c6]Seema Nagar, Suranjana Samanta, Prateeti Mohapatra, Debanjana Kar:
Building Golden Signal Based Signatures for Log Anomaly Detection. CLOUD 2022: 203-208 - [c5]Debanjana Kar, Sudeshna Sarkar, Pawan Goyal:
ArgGen: Prompting Text Generation Models for Document-Level Event-Argument Aggregation. AACL/IJCNLP (Findings) 2022: 399-404 - [c4]Harshit Kumar, Ruchi Mahindru, Debanjana Kar:
Metadata-based retrieval for resolution recommendation in AIOps. ESEC/SIGSOFT FSE 2022: 1379-1389 - 2021
- [c3]Debanjana Kar, Suranjana Samanta, Amar Prakash Azad:
Meta-context Transformers for Domain-Specific Response Generation. PAKDD (3) 2021: 285-297 - [i4]Debanjana Kar, Sudeshna Sarkar, Pawan Goyal:
Event Argument Extraction using Causal Knowledge Structures. CoRR abs/2105.00477 (2021) - [i3]Debanjana Kar, Sudeshna Sarkar, Pawan Goyal:
ArgFuse: A Weakly-Supervised Framework for Document-Level Event Argument Aggregation. CoRR abs/2106.10862 (2021) - 2020
- [c2]Debanjana Kar, Sudeshna Sarkar, Pawan Goyal:
Event Argument Extraction using Causal Knowledge Structures. ICON 2020: 287-296 - [i2]Debanjana Kar, Suranjana Samanta, Amar Prakash Azad:
Meta-Context Transformers for Domain-Specific Response Generation. CoRR abs/2010.05572 (2020) - [i1]Debanjana Kar, Mohit Bhardwaj, Suranjana Samanta, Amar Prakash Azad:
No Rumours Please! A Multi-Indic-Lingual Approach for COVID Fake-Tweet Detection. CoRR abs/2010.06906 (2020)
2010 – 2019
- 2016
- [c1]Subhasree Bose, Urmi Saha, Debanjana Kar, Saptarsi Goswami, Amlan Kusum Nayak, Satyajit Chakrabarti
:
RSentiment: A Tool to Extract Meaningful Insights from Textual Reviews. FICTA (2) 2016: 259-268
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