Papers by Ishan Agrawal
CausalCite: A Causal Formulation of Paper Citations (2024.findings-acl)
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Ishan Agrawal, Zhijing Jin, Ehsan Mokhtarian, Siyuan Guo, Yuen Chen, Mrinmaya Sachan, Bernhard Schölkopf
| Challenge: | citation counts are often criticized for failing to accurately reflect the true impact of a paper. |
| Approach: | They propose a method to measure the impact of a paper on follow-up papers by comparing similar papers by cosine similarity. |
| Outcome: | The proposed method is based on a new causal inference method, TextMatch. |
“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. |