Copertina

Automated Analysis of Sustainability Reports: Using Large Language Models for the Extraction and Prediction of EU Taxonomy-Compliant KPIs

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Schmoll, Jonathan, Jatowt, Adam
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Navigating Tomorrow: Reliably Assessing Large Language Models Performance on Future Event Prediction
di: Nako, Petraq, et al.
Pubblicazione: (2025)

Analyzing the Role of Context in Forecasting with Large Language Models
di: Mutschlechner, Gerrit, et al.
Pubblicazione: (2025)

Temporal Blind Spots in Large Language Models
di: Wallat, Jonas, et al.
Pubblicazione: (2024)

Pretraining Exposure Explains Popularity Judgments in Large Language Models
di: Mozafari, Jamshid, et al.
Pubblicazione: (2026)

Statements: Universal Information Extraction from Tables with Large Language Models for ESG KPIs
di: Mishra, Lokesh, et al.
Pubblicazione: (2024)

Question Difficulty Estimation for Large Language Models via Answer Plausibility Scoring
di: Mozafari, Jamshid, et al.
Pubblicazione: (2026)

Towards Effective Time-Aware Language Representation: Exploring Enhanced Temporal Understanding in Language Models
di: Wang, Jiexin, et al.
Pubblicazione: (2024)

SustainableQA: A Comprehensive Question Answering Dataset for Corporate Sustainability and EU Taxonomy Reporting
di: Ali, Mohammed, et al.
Pubblicazione: (2025)

Evaluating List Construction and Temporal Understanding capabilities of Large Language Models
di: Dumitru, Alexandru, et al.
Pubblicazione: (2025)

Transformers and Language Models in Form Understanding: A Comprehensive Review of Scanned Document Analysis
di: Abdallah, Abdelrahman, et al.
Pubblicazione: (2024)

Wisdom of the Crowds in Forecasting: Forecast Summarization for Supporting Future Event Prediction
di: Saha, Anisha, et al.
Pubblicazione: (2025)

Temporal Validity Change Prediction
di: Wenzel, Georg, et al.
Pubblicazione: (2024)

ChroniclingAmericaQA: A Large-scale Question Answering Dataset based on Historical American Newspaper Pages
di: Piryani, Bhawna, et al.
Pubblicazione: (2024)

Exploring NLP Benchmarks in an Extremely Low-Resource Setting
di: Nuha, Ulin, et al.
Pubblicazione: (2025)

Generator-Retriever-Generator Approach for Open-Domain Question Answering
di: Abdallah, Abdelrahman, et al.
Pubblicazione: (2023)

AMuRD: Annotated Arabic-English Receipt Dataset for Key Information Extraction and Classification
di: Abdallah, Abdelrahman, et al.
Pubblicazione: (2023)

Enriching Taxonomies Using Large Language Models
di: Ghamlouch, Zeinab, et al.
Pubblicazione: (2025)

TriviaHG: A Dataset for Automatic Hint Generation from Factoid Questions
di: Mozafari, Jamshid, et al.
Pubblicazione: (2024)

How often do Answers Change? Estimating Recency Requirements in Question Answering
di: Piryani, Bhawna, et al.
Pubblicazione: (2026)

How Good are LLM-based Rerankers? An Empirical Analysis of State-of-the-Art Reranking Models
di: Abdallah, Abdelrahman, et al.
Pubblicazione: (2025)

Wrong Answers Can Also Be Useful: PlausibleQA -- A Large-Scale QA Dataset with Answer Plausibility Scores
di: Mozafari, Jamshid, et al.
Pubblicazione: (2025)

A Taxonomy for Data Contamination in Large Language Models
di: Palavalli, Medha, et al.
Pubblicazione: (2024)

Evaluating Answer Reranking Strategies in Time-sensitive Question Answering
di: Kardan, Mehmet, et al.
Pubblicazione: (2025)

Context Convergence Improves Answering Inferential Questions
di: Mozafari, Jamshid, et al.
Pubblicazione: (2026)

WikiHint: A Human-Annotated Dataset for Hint Ranking and Generation
di: Mozafari, Jamshid, et al.
Pubblicazione: (2024)

Taxonomy Inference for Tabular Data Using Large Language Models
di: Wu, Zhenyu, et al.
Pubblicazione: (2025)

Taxonomy-based CheckList for Large Language Model Evaluation
di: Zhang, Damin
Pubblicazione: (2023)

TaxoAlign: Scholarly Taxonomy Generation Using Language Models
di: Lahiri, Avishek, et al.
Pubblicazione: (2025)

Tracking Cancer Through Text: Longitudinal Extraction From Radiology Reports Using Open-Source Large Language Models
di: Builtjes, Luc, et al.
Pubblicazione: (2026)

A Large-Language-Model Framework for Automated Humanitarian Situation Reporting
di: Decostanzi, Ivan, et al.
Pubblicazione: (2025)

Event Extraction in Large Language Model
di: Li, Bobo, et al.
Pubblicazione: (2025)

ASRank: Zero-Shot Re-Ranking with Answer Scent for Document Retrieval
di: Abdallah, Abdelrahman, et al.
Pubblicazione: (2025)

Detecting Temporal Ambiguity in Questions
di: Piryani, Bhawna, et al.
Pubblicazione: (2024)

ComplexTempQA:A 100m Dataset for Complex Temporal Question Answering
di: Gruber, Raphael, et al.
Pubblicazione: (2024)

Is Your AI-Generated Code Really Safe? Evaluating Large Language Models on Secure Code Generation with CodeSecEval
di: Wang, Jiexin, et al.
Pubblicazione: (2024)

Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers
di: Qin, Libo, et al.
Pubblicazione: (2024)

The Great Nugget Recall: Automating Fact Extraction and RAG Evaluation with Large Language Models
di: Pradeep, Ronak, et al.
Pubblicazione: (2025)

SciDef: Automating Definition Extraction from Academic Literature with Large Language Models
di: Kučera, Filip, et al.
Pubblicazione: (2026)

Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies
di: Shah, Chirag, et al.
Pubblicazione: (2023)

Detecting Future-related Contexts of Entity Mentions
di: Prashar, Puneet, et al.
Pubblicazione: (2025)