Vedula, Nikhita

1. Multimodal Content Analysis for Effective Advertisements on YouTube
   2017/09/12 by Vedula, Nikhita, Sun, Wei, Lee, Hyunhwan +5 · 1 citation
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimedia (cs.MM) #Neural and Evolutionary Computing (cs.NE)
2. Towards Open Intent Discovery for Conversational Text
   2019/04/17 by Vedula, Nikhita, Lipka, Nedim, Maneriker, Pranav +1 · 1 citation
   #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR)
3. Automatic Discovery of Novel Intents & Domains from Text Utterances
   2020/05/22 by Nikhita Vedula, Vedula, Nikhita, Rahul Gupta +5 · 1 citation
   Computer Science · #Audio and Speech Processing (eess.AS) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Electrical engineering #Information Retrieval (cs.IR) #Natural Language Processing Techniques #Sound (cs.SD) #Speech and dialogue systems #Topic Modeling #electronic engineering #information engineering
4. Faithful Low-Resource Data-to-Text Generation through Cycle Training
   2023/05/24 by Zhuoer Wang, Wang, Zhuoer, Marcus D. Collins +9 · 1 citation
   Computer Science · #Topic Modeling #Natural Language Processing Techniques
5. Wizard of Shopping: Target-Oriented E-commerce Dialogue Generation with Decision Tree Branching
   2025/02/03 by Li, Xiangci, Chen, Zhiyu, Choi, Jason Ingyu +4 · 3 citations
   #Computation and Language (cs.CL) #FOS: Computer and information sciences
6. Quantile Regression with Large Language Models for Price Prediction
   2025/06/07 by Nikhita Vedula, Vedula, Nikhita, Dushyanta Dhyani +9 · 4 citations
   Computer Science · Decision Sciences · Social Sciences · #Multimodal Machine Learning Applications #Stock Market Forecasting Methods #Computational and Text Analysis Methods
7. Generative Product Recommendations for Implicit Superlative Queries
   2025/04/26 by Kaustubh Dhole, Dhole, Kaustubh D., Nikhita Vedula +9 · 2 citations
   Computer Science · #Recommender Systems and Techniques #Sentiment Analysis and Opinion Mining #Text and Document Classification Technologies