38 citations · 148 across the 19 of their papers we have counts for
8 papers · 1 filter
Exploring Nature: Datasets and Models for Analyzing Nature-Related Disclosures
Tobias Schimanski, Chiara Colesanti Senni, Glen Gostlow +3
Nature is an amorphous concept. Yet, it is essential for the planet's well-being to understand how the economy interacts with it. To address the growing demand for information on c…
ClimateBERT-NetZero: Detecting and Assessing Net Zero and Reduction Targets
Tobias Schimanski, Julia Bingler, Camilla Hyslop +2
Public and private actors struggle to assess the vast amounts of information about sustainability commitments made by various institutions. To address this problem, we create a nov…
Assessing Large Language Models on Climate Information
Jannis Bulian, Mike S. Schäfer, Afra Amini +8
As Large Language Models (LLMs) rise in popularity, it is necessary to assess their capability in critically relevant domains. We present a comprehensive evaluation framework, grou…
CHATREPORT: Democratizing Sustainability Disclosure Analysis through LLM-based Tools
Jingwei Ni, Julia Bingler, Chiara Colesanti-Senni +10
In the face of climate change, are companies really taking substantial steps toward more sustainable operations? A comprehensive answer lies in the dense, information-rich landscap…
Paradigm Shift in Sustainability Disclosure Analysis: Empowering Stakeholders with CHATREPORT, a Language Model-Based Tool
Jingwei Ni, Julia Bingler, Chiara Colesanti-Senni +10
This paper introduces a novel approach to enhance Large Language Models (LLMs) with expert knowledge to automate the analysis of corporate sustainability reports by benchmarking th…
When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP
Jingwei Ni, Zhijing Jin, Qian Wang +2
Multi-task learning (MTL) aims at achieving a better model by leveraging data and knowledge from multiple tasks. However, MTL does not always work -- sometimes negative transfer oc…
chatClimate: Grounding Conversational AI in Climate Science
Saeid Ashraf Vaghefi, Qian Wang, Veruska Muccione +8
Large Language Models (LLMs) have made significant progress in recent years, achieving remarkable results in question-answering tasks (QA). However, they still face two major chall…
Enhancing Large Language Models with Climate Resources
Mathias Kraus, Julia Anna Bingler, Markus Leippold +5
Large language models (LLMs) have significantly transformed the landscape of artificial intelligence by demonstrating their ability in generating human-like text across diverse top…