8 citations · 20 across the 7 of their papers we have counts for
7 papers
Advancing Risk and Quality Assurance: A RAG Chatbot for Improved Regulatory Compliance
Lars Hillebrand, Armin Berger, Daniel Uedelhoven +7
Risk and Quality (R&Q) assurance in highly regulated industries requires constant navigation of complex regulatory frameworks, with employees handling numerous daily queries demand…
Improving Zero-Shot Text Matching for Financial Auditing with Large Language Models
Lars Hillebrand, Armin Berger, Tobias Deußer +8
Auditing financial documents is a very tedious and time-consuming process. As of today, it can already be simplified by employing AI-based solutions to recommend relevant text pass…
sustain.AI: a Recommender System to analyze Sustainability Reports
Lars Hillebrand, Maren Pielka, David Leonhard +9
We present sustainAI, an intelligent, context-aware recommender system that assists auditors and financial investors as well as the general public to efficiently analyze companies'…
Towards automating Numerical Consistency Checks in Financial Reports
Lars Hillebrand, Tobias Deußer, Tim Dilmaghani +4
We introduce KPI-Check, a novel system that automatically identifies and cross-checks semantically equivalent key performance indicators (KPIs), e.g. "revenue" or "total costs", in…
Zero-Shot Text Matching for Automated Auditing using Sentence Transformers
David Biesner, Maren Pielka, Rajkumar Ramamurthy +4
Natural language processing methods have several applications in automated auditing, including document or passage classification, information retrieval, and question answering. Ho…
Solving Subset Sum Problems using Quantum Inspired Optimization Algorithms with Applications in Auditing and Financial Data Analysis
David Biesner, Thore Gerlach, Christian Bauckhage +2
Many applications in automated auditing and the analysis and consistency check of financial documents can be formulated in part as the subset sum problem: Given a set of numbers an…
KPI-BERT: A Joint Named Entity Recognition and Relation Extraction Model for Financial Reports
Lars Hillebrand, Tobias Deußer, Tim Dilmaghani +4
We present KPI-BERT, a system which employs novel methods of named entity recognition (NER) and relation extraction (RE) to extract and link key performance indicators (KPIs), e.g.…