5 citations · 8 across the 5 of their papers we have counts for
6 papers
A Super-Learner with Large Language Models for Medical Emergency Advising
Sergey K. Aityan, Abdolreza Mosaddegh, Rolando Herrero +12
Medical decision-support and advising systems are critical for emergency physicians to quickly and accurately assess patients' conditions and make diagnosis. Artificial Intelligenc…
From Hype to Insight: Rethinking Large Language Model Integration in Visual Speech Recognition
Rishabh Jain, Naomi Harte
Advances in self-supervised encoders have improved Visual Speech Recognition (VSR). Recent approaches integrating these encoders with LLM decoders improves transcription accuracy;…
Harvard Undergraduate Survey on Generative AI
Shikoh Hirabayashi, Rishab Jain, Nikola Jurković +1
How has generative AI impacted the experiences of college students? We study the influence of AI on the study habits, class choices, and career prospects of Harvard undergraduates…
Generation Z's Ability to Discriminate Between AI-generated and Human-Authored Text on Discord
Dhruv Ramu, Rishab Jain, Aditya Jain
The growing popularity of generative artificial intelligence (AI) chatbots such as ChatGPT is having transformative effects on social media. As the prevalence of AI-generated conte…
Generative AI in Writing Research Papers: A New Type of Algorithmic Bias and Uncertainty in Scholarly Work
Rishab Jain, Aditya Jain
The use of artificial intelligence (AI) in research across all disciplines is becoming ubiquitous. However, this ubiquity is largely driven by hyperspecific AI models developed dur…
Automatic Concept Embedding Model (ACEM): No train-time concepts, No issue!
Rishabh Jain
Interpretability and explainability of neural networks is continuously increasing in importance, especially within safety-critical domains and to provide the social right to explan…