Papers by Mahesh Prakash

2 papers
Question Answering in Climate Adaptation for Agriculture: Model Development and Evaluation with Expert Feedback (2025.findings-acl)

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Challenge: Existing domain-specific question answering systems have generative capabilities, but their ability to answer climate adaptation questions remains unclear.
Approach: They propose an iterative framework that enables LLMs to dynamically aggregate information from heterogeneous sources, such as climate literature and structured tabular climate data from climate model projections and historical observations.
Outcome: The proposed framework enables LLMs to dynamically aggregate information from heterogeneous sources, such as text from climate literature and structured tabular climate data from climate model projections and historical observations.
My Climate CoPilot: A Question Answering System for Climate Adaptation in Agriculture (2025.acl-demo)

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Challenge: Accurately answering climate science questions requires scientific literature and climate data.
Approach: They propose to provide climate adaptation experts with information on adaptation practices relevant to a specific commodity and location.
Outcome: My Climate CoPilot is a platform that assists users to mitigate and adapt to projected climate change by providing answers grounded in evidence.

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