2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CL2025
Retrieving Semantically Similar Decisions under Noisy Institutional Labels: Robust Comparison of Embedding Methods
Tereza Novotna, Jakub Harasta
Retrieving case law is a time-consuming task predominantly carried out by querying databases. We provide a comparison of two models in three different settings for Czech Constituti…
cs.HC2024★ 2 cited
It Cannot Be Right If It Was Written by AI: On Lawyers' Preferences of Documents Perceived as Authored by an LLM vs a Human
Jakub Harasta, Tereza Novotná, Jaromir Savelka
Large Language Models (LLMs) enable a future in which certain types of legal documents may be generated automatically. This has a great potential to streamline legal processes, low…