Vikranth Udandarao

@inproceedings{udandarao2026enterprise,
  title={The Enterprise RAG Paradox: An Industrial Study of Governed and Continuous Documentation Pipelines for LLM-Assisted Code Generation},
  author={Udandarao, Vikranth and Sharma, Jeetendra Kumar},
  booktitle={European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)},
  year={2026}
}

@inproceedings{parmar2026finmcp,
  title={FinMCP: A Multi-Agent LLM Framework for Explainable Real-Time Financial Analysis},
  author={Parmar, Akshat and Udandarao, Vikranth and Shakya, Abhay and Hire, Tanmay and Anand, Avinash and Shah, Rajiv Ratn and Wang, Daniel Zhengkui},
  booktitle={European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) Demos},
  year={2026}
}

@inproceedings{misra2026detecting,
  title={Detecting Citation Hallucinations in Large Language Model Outputs (Student Abstract)},
  author={Misra, Nipun and Udandarao, Vikranth},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={40},
  number={48},
  pages={41325--41327},
  year={2026},
  doi={10.1609/aaai.v40i48.42257},
  url={https://doi.org/10.1609/aaai.v40i48.42257}
}

@inproceedings{10.1145/3774905.3793121,
author = {Udandarao, Vikranth and Vairamuthu, Muthuraj and Tiju, Noel Abraham and Mistry, Harsh and Singh, Armaan and Kumar, Dhruv},
title = {Roamify: An Interactive Browser Extension for Real-Time LLM-Based Travel Itinerary Generation},
year = {2026},
isbn = {9798400723087},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3774905.3793121},
doi = {10.1145/3774905.3793121},
abstract = {We present Roamify, a browser-embedded demonstration system for real-time, web-conditioned travel itinerary generation. Roamify converts live travel blogs and articles into structured multi-day itineraries by integrating large-scale Web scraping, neural summarisation, explicit preference modelling, and in-browser LLM generation. The system continuously retrieves fresh attraction data, summarises it using a finetuned T5 model, and composes coherent itineraries through LLaMA 3, guided by user-controlled sliders that encode historical, natural, cultural, and amusement preferences. Unlike static trip planning tools or chatbot-only assistants, Roamify enables interactive, controllable, and dynamically updated itinerary creation directly within the Chrome environment. This demo showcases a complete Web intelligence pipeline, from live data acquisition to human-in-the-loop LLM prompting, operating entirely on the client side for transparency and low-latency interaction.},
booktitle = {Companion Proceedings of the ACM Web Conference 2026},
pages = {140–143},
numpages = {4},
keywords = {web intelligence, large language models, personalisation, travel recommendation, browser extension, generative ai},
location = {United Arab Emirates},
series = {WWW Companion '26}
}

@inproceedings{hire2025digital,
  title={Digital-Persona QAR: A Dataset and Pipeline for Financial Question--Answer--Reasoning from Unstructured Documents},
  author={Hire, Tanmay and Udandarao, Vikranth and Shakya, Abhay and Parmar, Akshat and Anand, Avinash and Shah, Rajiv Ratn and Wang, Daniel Zhengkui},
  booktitle={ACM IKDD CODS-COMAD Young Researchers Symposium},
  year={2025}
}

@inproceedings{udandarao2026crush,
  title={Let My Crush See Me: Social-Facilitation Prompting for Zero-Shot LLM Performance Gains},
  author={Udandarao, Vikranth},
  booktitle={PromptEng Workshop at The Web Conference (WWW)},
  year={2026}
}

@inproceedings{udandarao2025suno,
  title={Suno Samjho Bolo: Rethinking Voice Interfaces for Multilingual Code-Switching and Digital Inclusion in India},
  author={Udandarao, Vikranth and Misra, Nipun},
  booktitle={India HCI Posters, Demos & Artworks Track},
  year={2025}
}