Tanuja Ganu

Affiliations:
  • Thomas J. Watson Research Center, Yorktown Heights, USA


According to our database1, Tanuja Ganu authored at least 39 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
RAD-PHI2: Instruction Tuning PHI-2 for Radiology.
CoRR, 2024

Evaluating LLMs' Mathematical Reasoning in Financial Document Question Answering.
CoRR, 2024

2023
Breaking Language Barriers with a LEAP: Learning Strategies for Polyglot LLMs.
CoRR, 2023

MEGA: Multilingual Evaluation of Generative AI.
CoRR, 2023

Chanakya: Learning Runtime Decisions for Adaptive Real-Time Perception.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Retrieval Augmented Chest X-Ray Report Generation using OpenAI GPT models.
Proceedings of the Machine Learning for Healthcare Conference, 2023

MEGA: Multilingual Evaluation of Generative AI.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

ChartParser: Automatic Chart Parsing for Print-Impaired.
Proceedings of the Workshop on Scientific Document Understanding co-located with 37th AAAI Conference on Artificial Inteligence (AAAI 2023), 2023

2022
ChartParser: Automatic Chart Parsing for Print-Impaired.
CoRR, 2022

Towards Zero-Shot and Few-Shot Table Question Answering using GPT-3.
CoRR, 2022

Too Brittle To Touch: Comparing the Stability of Quantization and Distillation Towards Developing Lightweight Low-Resource MT Models.
CoRR, 2022

Towards Optimizing OCR for Accessibility.
CoRR, 2022

Document Navigability: A Need for Print-Impaired.
CoRR, 2022

Broken News: Making Newspapers Accessible to Print-Impaired.
CoRR, 2022

Too Brittle to Touch: Comparing the Stability of Quantization and Distillation towards Developing Low-Resource MT Models.
Proceedings of the Seventh Conference on Machine Translation, 2022

Reliable Energy Consumption Modeling for an Electric Vehicle Fleet.
Proceedings of the COMPASS '22: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, Seattle, WA, USA, 29 June 2022, 2022

LITMUS Predictor: An AI Assistant for Building Reliable, High-Performing and Fair Multilingual NLP Systems.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Predicting the Performance of Multilingual NLP Models.
CoRR, 2021

Adaptive Streaming Perception using Deep Reinforcement Learning.
CoRR, 2021

AI-assisted Cell-Level Fault Detection and Localization in Solar PV Electroluminescence Images.
Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021

Micro-climate Prediction - Multi Scale Encoder-decoder based Deep Learning Framework.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

GCM: A Toolkit for Generating Synthetic Code-mixed Text.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 2021

Language Translation as a Socio-Technical System: Case-Studies of Mixed-Initiative Interactions.
Proceedings of the COMPASS '21: ACM SIGCAS Conference on Computing and Sustainable Societies, Virtual Event, Australia, 28 June 2021, 2021

2020
Optimising Lockdown Policies for Epidemic Control using Reinforcement Learning.
CoRR, 2020

2016
iPlug: Decentralised dispatch of distributed generation.
Proceedings of the 8th International Conference on Communication Systems and Networks, 2016

2015
Multi-User Energy Consumption Monitoring and Anomaly Detection with Partial Context Information.
Proceedings of the 2nd ACM International Conference on Embedded Systems for Energy-Efficient Built Environments, 2015

Using renewables to reduce peak demand: Lessons from an Australian experience.
Proceedings of the 2015 IEEE Innovative Smart Grid Technologies, 2015

Individual and Aggregate Electrical Load Forecasting: One for All and All for One.
Proceedings of the 2015 ACM Sixth International Conference on Future Energy Systems, 2015

2014
DC Picogrids as power backups for office buildings.
Proceedings of the 2014 IEEE International Conference on Smart Grid Communications, 2014

Consumer Segmentation and Knowledge Extraction from Smart Meter and Survey Data.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

SocketWatch: An autonomous appliance monitoring system.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2014

Algorithms for upgrading the resolution of aggregate energy meter data.
Proceedings of the Fifth International Conference on Future Energy Systems, 2014

iDR: consumer and grid friendly demand response system.
Proceedings of the Fifth International Conference on Future Energy Systems, 2014

2013
nPlug: An Autonomous Peak Load Controller.
IEEE J. Sel. Areas Commun., 2013

DRSim: A cyber physical simulator for Demand Response systems.
Proceedings of the IEEE Fourth International Conference on Smart Grid Communications, 2013

Sparse Max-Margin Multiclass and Multi-label Classifier Design for Fast Inference.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Hidden costs of power cuts and battery backups.
Proceedings of the Fourth International Conference on Future Energy Systems, 2013

Evaluating demand response programs by means of key performance indicators.
Proceedings of the Fifth International Conference on Communication Systems and Networks, 2013

2012
nPlug: a smart plug for alleviating peak loads.
Proceedings of the 3rd International Conference on Energy-Efficient Computing and Networking, 2012


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