1 citations · 1 across the 3 of their papers we have counts for
3 papers
Causal Connections: Leveraging Multilingual Fine-Tuning for Financial QA@FinCausal 2026
Akash Kumar Gautam, Serhii Hamotskyi, Christian Hänig
This paper describes team HSA_CORAL's submission to the FinCausal 2026 shared task on extracting cause-effect relations from financial narratives via extractive question answering…
LLM-Based Examination of Eligibility Criteria from Securities Prospectuses at the German Central Bank
Serhii Hamotskyi, Akash Kumar Gautam, Christian Hänig
Verifying the eligibility of securities as collateral is a key responsibility of the German Central Bank. However, manually verifying these assets against legal and financial crite…
NLP-based Decision Support System for Examination of Eligibility Criteria from Securities Prospectuses at the German Central Bank
Christian Hänig, Markus Schlösser, Serhii Hamotskyi +2
As part of its digitization initiative, the German Central Bank (Deutsche Bundesbank) wants to examine the extent to which natural Language Processing (NLP) can be used to make ind…