Question Answering over Sustainability Reports: Information Richness and Answer Quality
Tobias Schimanski
2025 Poster
in
Workshop: Tackling Climate Change with Machine Learning
in
Workshop: Tackling Climate Change with Machine Learning
Abstract
In this tutorial, we learn about an advanced strategy for information retrieval for question answering with Large Language Models (LLMs) in knowledge-intensive domains like sustainability reporting. We analyze the quality and quantity of sources before answering a question and quantify uncertainty around answering a question after LLM generation.
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