AI hallucinations: a misnomer worth clarifying

N Maleki, B Padmanabhan… - 2024 IEEE conference on …, 2024 - ieeexplore.ieee.org
As large language models continue to advance in Artificial Intelligence (AI), text generation
systems have been shown to suffer from a problematic phenomenon often termed as" …

[HTML][HTML] A sco** review of ChatGPT research in accounting and finance

MM Dong, TC Stratopoulos, VX Wang - International Journal of Accounting …, 2024 - Elsevier
This paper provides a review of recent publications and working papers on ChatGPT and
related Large Language Models (LLMs) in accounting and finance. The aim is to understand …

ChatClimate: Grounding conversational AI in climate science

SA Vaghefi, D Stammbach, V Muccione… - … Earth & Environment, 2023 - nature.com
Abstract Large Language Models have made remarkable progress in question-answering
tasks, but challenges like hallucination and outdated information persist. These issues are …

Explainable natural language processing for corporate sustainability analysis

K Ong, R Mao, R Satapathy, R Shirota Filho… - Information …, 2025 - Elsevier
Sustainability commonly refers to entities, such as individuals, companies, and institutions,
having a non-detrimental (or even positive) impact on the environment, society, and the …

Beyond words: On large language models actionability in mission-critical risk analysis

M Esposito, F Palagiano, V Lenarduzzi… - Proceedings of the 18th …, 2024 - dl.acm.org
Context. Risk analysis assesses potential risks in specific scenarios. Risk analysis principles
are context-less; the same methodology can be applied to a risk connected to health and …

ESGReveal: An LLM-based approach for extracting structured data from ESG reports

Y Zou, M Shi, Z Chen, Z Deng, ZX Lei, Z Zeng… - Journal of Cleaner …, 2025 - Elsevier
As an important source for disclosure a company's environmental, social, and governance
(ESG) performance, stock exchanges gradually strengthen their requirements for listed …

Think-on-Process: Dynamic Process Generation for Collaborative Development of Multi-Agent System

L Lin, Y Zhou, W Chen, C Qian - arxiv preprint arxiv:2409.06568, 2024 - arxiv.org
Software development is a collaborative endeavor that requires individuals from different
departments to work together in order to collectively develop a high-quality software system …

Exploring Nature: Datasets and Models for Analyzing Nature-Related Disclosures

T Schimanski, CC Senni, G Gostlow, J Ni, T Yu… - arxiv preprint arxiv …, 2023 - arxiv.org
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 …

Using AI to assess corporate climate transition disclosures

C Colesanti Senni, T Schimanski… - Environmental …, 2024 - iopscience.iop.org
Company transition plans toward a low-carbon economy are key for effective capital
allocation and risk management. This paper proposes a set of 64 indicators to …

Framing VRRSability Relationships among Vulnerability, Risk, Resilience, and Sustainability for Improving Geo-Information Evaluations within Geodesign Decision …

T Nyerges, JA Gallo, KM Reynolds, SD Prager… - … International Journal of …, 2024 - mdpi.com
Improving geo-information decision evaluation is an important part of geospatial decision
support research, particularly when considering vulnerability, risk, resilience, and …