Sumegh Roychowdhury

1. How Robust are LLMs to In-Context Majority Label Bias?
   2023/12/27 by Karan Gupta, Sumegh Roychowdhury, Gupta, Karan +11 · 3 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
2. Leveraging Post Hoc Context for Faster Learning in Bandit Settings with\n Applications in Robot-Assisted Feeding
   2020/11/04 by Ethan Kroll Gordon, Gordon, Ethan K., Sumegh Roychowdhury +7 · 1 citation
   Computer Science · Decision Sciences · #AI in Service Interactions #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Robotics (cs.RO)
3. Exploring Ordinality in Text Classification: A Comparative Study of Explicit and Implicit Techniques
   2024/05/20 by Siva Rajesh Kasa, Kasa, Siva Rajesh, Aniket Goel +11 · 2 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Text and Document Classification Technologies
4. Representation Learning for Conversational Data using Discourse Mutual\n Information Maximization
   2021/12/04 by Bishal Santra, Sumegh Roychowdhury, Santra, Bishal +11 · 1 citation
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling