3 citations · 4 across the 5 of their papers we have counts for
5 papers
From Answers to Guidance: A Proactive Dialogue System for Legal Documents
Ashish Chouhan, Michael Gertz
The accessibility of legal information remains a constant challenge, particularly for laypersons seeking to understand and apply complex institutional texts. While the European Uni…
heiDS at ArchEHR-QA 2025: From Fixed-k to Query-dependent-k for Retrieval Augmented Generation
Ashish Chouhan, Michael Gertz
This paper presents the approach of our team called heiDS for the ArchEHR-QA 2025 shared task. A pipeline using a retrieval augmented generation (RAG) framework is designed to gene…
ClusterChat: Multi-Feature Search for Corpus Exploration
Ashish Chouhan, Saifeldin Mandour, Michael Gertz
Exploring large-scale text corpora presents a significant challenge in biomedical, finance, and legal domains, where vast amounts of documents are continuously published. Tradition…
LexDrafter: Terminology Drafting for Legislative Documents using Retrieval Augmented Generation
Ashish Chouhan, Michael Gertz
With the increase in legislative documents at the EU, the number of new terms and their definitions is increasing as well. As per the Joint Practical Guide of the European Parliame…
EUR-Lex-Sum: A Multi- and Cross-lingual Dataset for Long-form Summarization in the Legal Domain
Dennis Aumiller, Ashish Chouhan, Michael Gertz
Existing summarization datasets come with two main drawbacks: (1) They tend to focus on overly exposed domains, such as news articles or wiki-like texts, and (2) are primarily mono…