Publication: CHATREPORT: Democratizing Sustainability Disclosure Analysis through LLM-based Tools
CHATREPORT: Democratizing Sustainability Disclosure Analysis through LLM-based Tools
Date
Date
Date
| cris.lastimport.scopus | 2025-06-29T03:45:02Z | |
| cris.virtual.orcid | https://orcid.org/0000-0001-8029-4106 | |
| cris.virtual.orcid | https://orcid.org/0000-0001-5983-2360 | |
| cris.virtualsource.orcid | 5b89af53-a78a-4012-bb2a-48096581f6e3 | |
| cris.virtualsource.orcid | 0331cda6-e903-4e22-9b44-f89f54f581dc | |
| dc.contributor.institution | University of Zurich | |
| dc.date.accessioned | 2025-02-03T15:12:13Z | |
| dc.date.available | 2025-02-03T15:12:13Z | |
| dc.date.issued | 2023-12-30 | |
| dc.description.abstract | 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 landscape of corporate sustainability reports. However, the sheer volume and complexity of these reports make human analysis very costly. Therefore, only a few entities worldwide have the resources to analyze these reports at scale, which leads to a lack of transparency in sustainability reporting. Empowering stakeholders with LLM-based automatic analysis tools can be a promising way to democratize sustainability report analysis. However, developing such tools is challenging due to (1) the hallucination of LLMs and (2) the inefficiency of bringing domain experts into the AI development loop. In this paper, we introduce ChatReport, a novel LLM-based system to automate the analysis of corporate sustainability reports, addressing existing challenges by (1) making the answers traceable to reduce the harm of hallucination and (2) actively involving domain experts in the development loop. | |
| dc.identifier.doi | 10.18653/v1/2023.emnlp-demo.3 | |
| dc.identifier.scopus | 2-s2.0-85184654953 | |
| dc.identifier.uri | https://www.zora.uzh.ch/handle/20.500.14742/227681 | |
| dc.language.iso | eng | |
| dc.subject.ddc | 330 Economics | |
| dc.title | CHATREPORT: Democratizing Sustainability Disclosure Analysis through LLM-based Tools | |
| dc.type | conference_item | |
| dcterms.accessRights | info:eu-repo/semantics/openAccess | |
| dcterms.bibliographicCitation.journaltitle | Proceedings of the Conference on Empirical Methods in Natural Language Processing | |
| dcterms.bibliographicCitation.originalpublishername | Association for Computational Linguistics | |
| dcterms.bibliographicCitation.pageend | 51 | |
| dcterms.bibliographicCitation.pagestart | 21 | |
| dspace.entity.type | Publication | en |
| oairecerif.event.country | Singapore | |
| oairecerif.event.endDate | 2023-12-10 | |
| oairecerif.event.place | Singapore | |
| oairecerif.event.startDate | 2023-12-06 | |
| uzh.contributor.affiliation | University of Zurich, ETH Zürich | |
| uzh.contributor.affiliation | University of Oxford, Council on Economic Policies | |
| uzh.contributor.affiliation | University of Zurich | |
| uzh.contributor.affiliation | Friedrich-Alexander-Universität Erlangen-Nürnberg | |
| uzh.contributor.affiliation | University of Zurich | |
| uzh.contributor.affiliation | University of Zurich | |
| uzh.contributor.affiliation | ETH Zürich | |
| uzh.contributor.affiliation | University of Zurich, Swiss Federal Institute of Aquatic Science and Technology | |
| uzh.contributor.affiliation | University of Zurich | |
| uzh.contributor.affiliation | Friedrich-Alexander-Universität Erlangen-Nürnberg | |
| uzh.contributor.affiliation | University of Zurich, ETH Zürich | |
| uzh.contributor.affiliation | University of Zurich | |
| uzh.contributor.affiliation | University of Zurich, Swiss Finance Institute | |
| uzh.contributor.author | Ni, Jingwei | |
| uzh.contributor.author | Bingler, Julia | |
| uzh.contributor.author | Colesanti Senni, Chiara | |
| uzh.contributor.author | Kraus, Mathias | |
| uzh.contributor.author | Gostlow, Glen | |
| uzh.contributor.author | Schimanski, Tobias | |
| uzh.contributor.author | Stammbach, Dominik | |
| uzh.contributor.author | Ashraf Vaghefi, Saeid | |
| uzh.contributor.author | Wang, Qian | |
| uzh.contributor.author | Webersinke, Nicolas | |
| uzh.contributor.author | Wekhof, Tobias | |
| uzh.contributor.author | Yu, Tingyu | |
| uzh.contributor.author | Leippold, Markus | |
| uzh.contributor.correspondence | Yes | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.document.availability | published_version | |
| uzh.eprint.datestamp | 2025-02-03 15:12:13 | |
| uzh.eprint.lastmod | 2025-06-29 03:45:02 | |
| uzh.eprint.statusChange | 2025-02-03 15:12:13 | |
| uzh.event.presentationType | paper | |
| uzh.event.title | The 2023 Conference on Empirical Methods in Natural Language Processing | |
| uzh.event.type | conference | |
| uzh.harvester.eth | Yes | |
| uzh.harvester.nb | No | |
| uzh.identifier.doi | 10.5167/uzh-270669 | |
| uzh.jdb.eprintsId | 48197 | |
| uzh.oastatus.unpaywall | hybrid | |
| uzh.oastatus.zora | Hybrid | |
| uzh.publication.citation | Ni, Jingwei; Bingler, Julia; Colesanti Senni, Chiara; Kraus, Mathias; Gostlow, Glen; Schimanski, Tobias; Stammbach, Dominik; Ashraf Vaghefi, Saeid; Wang, Qian; Webersinke, Nicolas; Wekhof, Tobias; Yu, Tingyu; Leippold, Markus (2023). CHATREPORT: Democratizing Sustainability Disclosure Analysis through LLM-based Tools. In: The 2023 Conference on Empirical Methods in Natural Language Processing, Singapore, Singapore, 6 December 2023 - 10 December 2023. Association for Computational Linguistics, 21-51. | |
| uzh.publication.freeAccessAt | doi | |
| uzh.publication.originalwork | original | |
| uzh.publication.publishedStatus | final | |
| uzh.publication.scope | disciplinebased | |
| uzh.publication.seriesTitle | Proceedings of the Conference on Empirical Methods in Natural Language Processing | |
| uzh.scopus.impact | 6 | |
| uzh.scopus.subjects | Computational Theory and Mathematics | |
| uzh.scopus.subjects | Computer Science Applications | |
| uzh.scopus.subjects | Information Systems | |
| uzh.workflow.chairSubject | oecIBF1 | |
| uzh.workflow.doaj | uzh.workflow.doaj.false | |
| uzh.workflow.eprintid | 270669 | |
| uzh.workflow.fulltextStatus | public | |
| uzh.workflow.revisions | 26 | |
| uzh.workflow.rightsCheck | offen | |
| uzh.workflow.source | Crossref:10.18653/v1/2023.emnlp-demo.3 | |
| uzh.workflow.status | archive | |
| Files | ||
| Publication available in collections: |