Papers by Akshay Paruchuri
What Are the Odds? Language Models Are Capable of Probabilistic Reasoning (2024.emnlp-main)
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Akshay Paruchuri, Jake Garrison, Shun Liao, John Hernandez, Jacob Sunshine, Tim Althoff, Xin Liu, Daniel McDuff
| Challenge: | Language models (LMs) are capable of remarkably complex linguistic tasks, but numerical reasoning is an area in which they struggle. |
| Approach: | They evaluate the probabilistic reasoning capabilities of language models using idealized and real-world statistical distributions. |
| Outcome: | The proposed model can make inferences about distributions, even if assumptions are incorrect or misspecified. |
“What’s Up, Doc?”: Analyzing How Users Seek Health Information in Large-Scale Conversational AI Datasets (2025.findings-emnlp)
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Akshay Paruchuri, Maryam Aziz, Rohit Vartak, Ayman Ali, Best Uchehara, Xin Liu, Ishan Chatterjee, Monica Agrawal
| Challenge: | a growing number of people are seeking healthcare information from large language models via chatbots, yet the nature and inherent risks of these interactions remain unexplored. |
| Approach: | They use a curated dataset of 11K real-world conversations composed of 25K user messages to analyze user interactions across 21 health specialties. |
| Outcome: | The proposed dataset consists of 11K real-world conversations composed of 25K user messages. |