{"total":21,"rows":[{"id":"2510.06265","title":"Large Language Models Hallucination: A Comprehensive Survey","created":"2025-10-05","cited_by_count":49,"area":null},{"id":"2401.06796","title":"AI Hallucinations: A Misnomer Worth Clarifying","created":"2024-01-09","cited_by_count":34,"area":null},{"id":"2312.17264","title":"ESGReveal: An LLM-based approach for extracting structured data from ESG reports","created":"2023-12-25","cited_by_count":15,"area":null},{"id":"2402.08277","title":"Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering","created":"2024-02-13","cited_by_count":11,"area":null},{"id":"2407.17487","title":"Explainable Natural Language Processing for Corporate Sustainability Analysis","created":"2024-07-03","cited_by_count":9,"area":null},{"id":"2504.07971","title":"SPHERE: An Evaluation Card for Human-AI Systems","created":"2025-03-24","cited_by_count":9,"area":null},{"id":"2506.01646","title":"ESGenius: Benchmarking LLMs on Environmental, Social, and Governance (ESG) and Sustainability Knowledge","created":"2025-06-02","cited_by_count":8,"area":null},{"id":"2412.10906","title":"SusGen-GPT: A Data-Centric LLM for Financial NLP and Sustainability Report Generation","created":"2024-12-14","cited_by_count":7,"area":null},{"id":"2502.15821","title":"Towards Robust ESG Analysis Against Greenwashing Risks: Aspect-Action Analysis with Cross-Category Generalization","created":"2025-02-20","cited_by_count":7,"area":null},{"id":"2412.05731","title":"A Scoping Review of ChatGPT Research in Accounting and Finance","created":"2024-12-07","cited_by_count":6,"area":null},{"id":"2410.10850","title":"On the Reliability of Large Language Models to Misinformed and Demographically-Informed Prompts","created":"2024-10-06","cited_by_count":2,"area":null},{"id":"2503.10674","title":"Enhancing Retrieval for ESGLLM via ESG-CID -- A Disclosure Content Index Finetuning Dataset for Mapping GRI and ESRS","created":"2025-03-10","cited_by_count":2,"area":null},{"id":"2601.02285","title":"pdfQA: Diverse, Challenging, and Realistic Question Answering over PDFs","created":"2026-01-05","cited_by_count":2,"area":null},{"id":"2312.17337","title":"Exploring Nature: Datasets and Models for Analyzing Nature-Related Disclosures","created":"2023-12-28","cited_by_count":1,"area":null},{"id":"2502.07022","title":"AIMS.au: A Dataset for the Analysis of Modern Slavery Countermeasures in Corporate Statements","created":"2025-02-10","cited_by_count":1,"area":null},{"id":"2502.15094","title":"Judging It, Washing It: Scoring and Greenwashing Corporate Climate Disclosures using Large Language Models","created":"2025-02-20","cited_by_count":1,"area":null},{"id":"2604.15827","title":"UsefulBench: Towards Decision-Useful Information as a Target for Information Retrieval","created":"2026-04-17","cited_by_count":1,"area":null},{"id":"2404.04351","title":"Assisting humans in complex comparisons: automated information comparison at scale","created":"2024-04-05","cited_by_count":0,"area":null},{"id":"2410.17225","title":"Dhoroni: Exploring Bengali Climate Change and Environmental Views with a Multi-Perspective News Dataset and Natural Language Processing","created":"2024-10-22","cited_by_count":0,"area":null},{"id":"2411.03402","title":"Climate AI for Corporate Decarbonization Metrics Extraction","created":"2024-11-05","cited_by_count":0,"area":null},{"id":"2609.30867","title":"Evidence-Grounded Auditing of Identification Assumptions in Climate-Policy Causal Evaluations","created":"2026-09-25","cited_by_count":0,"area":null}],"next_cursor":null}