activity
20192026
most citedZero-Shot Prompting and Few-Shot Fine-Tuning: Revisiting Document Image Classification Using Large Language Models

10 citations · 23 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2026

The Price of Reasoning: Cost-Quality Tradeoffs in Reinforcement Learning for Neural Machine Translation

Michael Jungo, Aixiu An

Reinforcement learning with verifiable rewards (RLVR) has been established as a viable paradigm for the post-training of Large Language Models (LLMs), including downstream tasks, s…

cs.CL2026

Reasoning Before Translation: Enhancing Legal Machine Translation with Structured Reasoning

Aixiu An, Michael Jungo, Eloi Eynard +4

Neural machine translation (NMT) in the legal domain is a linguistically and conceptually demanding task, primarily due to the complexity of legal language and the high level of pr…

cs.CV2025

Rule-Based Reinforcement Learning for Document Image Classification with Vision Language Models

Michael Jungo, Andreas Fischer

Rule-based reinforcement learning has been gaining popularity ever since DeepSeek-R1 has demonstrated its success through simple verifiable rewards. In the domain of document analy…

cs.CV2024★ 10 cited

Zero-Shot Prompting and Few-Shot Fine-Tuning: Revisiting Document Image Classification Using Large Language Models

Anna Scius-Bertrand, Michael Jungo, Lars Vögtlin +2

Classifying scanned documents is a challenging problem that involves image, layout, and text analysis for document understanding. Nevertheless, for certain benchmark datasets, nota…

cs.CV2023★ 4 cited

Impact of Ground Truth Quality on Handwriting Recognition

Michael Jungo, Lars Vögtlin, Atefeh Fakhari +4

Handwriting recognition is a key technology for accessing the content of old manuscripts, helping to preserve cultural heritage. Deep learning shows an impressive performance in so…

cs.CV2023★ 4 cited

Character Queries: A Transformer-based Approach to On-Line Handwritten Character Segmentation

Michael Jungo, Beat Wolf, Andrii Maksai +2

On-line handwritten character segmentation is often associated with handwriting recognition and even though recognition models include mechanisms to locate relevant positions durin…

cs.CL2019★ 5 cited

Automatic Creation of Text Corpora for Low-Resource Languages from the Internet: The Case of Swiss German

Lucy Linder, Michael Jungo, Jean Hennebert +2

This paper presents SwissCrawl, the largest Swiss German text corpus to date. Composed of more than half a million sentences, it was generated using a customized web scraping tool…