Question Answering over Sustainability Reports: Information Richness and Answer Quality (Tutorials Track)

Tobias Schimanski (University of Zurich)

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Climate Finance & Economics Natural Language Processing

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.