Korbinian Randl

According to our database, Korbinian Randl authored at least 14 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Multimodal Machine Learning for Early Prediction of Metastasis in a Swedish Multi-Cancer Cohort.

Franco Rugolon, Korbinian Randl, Braslav Jovanovic, Ioanna Miliou, Panagiotis Papapetrou

CoRR, March, 2026

CHiL(L)Grader: Calibrated Human-in-the-Loop Short-Answer Grading.

Pranav Raikote, Korbinian Randl, Ioanna Miliou, Athanasios Lakes, Panagiotis Papapetrou

CoRR, March, 2026

RAG-E: Quantifying Retriever-Generator Alignment and Failure Modes.

Korbinian Randl, Guido Rocchietti, Aron Henriksson, Ziawasch Abedjan, Tony Lindgren, John Pavlopoulos

CoRR, January, 2026

2025

Efficient Text Classification with Conformal In-Context Learning.

Ippokratis Pantelidis, Korbinian Randl, Aron Henriksson

CoRR, December, 2025

Mind the gap: from plausible to valid self-explanations in large language models.

Korbinian Randl, John Pavlopoulos, Aron Henriksson, Tony Lindgren

Mach. Learn., October, 2025

FoodSafeSum.

Juli Bakagianni, Korbinian Randl, Guido Rocchietti, Cosimo Rulli, Franco Maria Nardini, Aron Henriksson, Salvatore Trani, Anna Romanova, Mariano Garcia, John Pavlopoulos

Dataset, September, 2025

SemEval-2025 Task 9: The Food Hazard Detection Challenge.

Korbinian Randl, John Pavlopoulos, Aron Henriksson, Tony Lindgren, Juli Bakagianni

Proceedings of the 19th International Workshop on Semantic Evaluation, 2025

FoodSafeSum: Enabling Natural Language Processing Applications for Food Safety Document Summarization and Analysis.

Juli Bakagianni, Korbinian Randl, Guido Rocchietti, Cosimo Rulli, Franco Maria Nardini, Salvatore Trani, Aron Henriksson, Anna Romanova, John Pavlopoulos

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

Automotive fault nowcasting with machine learning and natural language processing.

John Pavlopoulos, Alv Romell, Jacob Curman, Olof Steinert, Tony Lindgren, Markus Borg, Korbinian Randl

Mach. Learn., February, 2024

LongDoc Summarization using Instruction-tuned Large Language Models for Food Safety Regulations.

Guido Rocchietti, Cosimo Rulli, Korbinian Randl, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Salvatore Trani, Manos Karvounis, Jakub Janostik

Proceedings of the 14th Italian Information Retrieval Workshop, 2024

Evaluating the Reliability of Self-explanations in Large Language Models.

Korbinian Randl, John Pavlopoulos, Aron Henriksson, Tony Lindgren

Proceedings of the Discovery Science - 27th International Conference, 2024

CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk Classification.

Korbinian Randl, John Pavlopoulos, Aron Henriksson, Tony Lindgren

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

A Workflow for Creating Multimodal Machine Learning Models for Metastasis Predictions in Melanoma Patients.

Franco Rugolon, Korbinian Randl, Maria Bampa, Panagiotis Papapetrou

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

Early prediction of the risk of ICU mortality with Deep Federated Learning.

Korbinian Randl, Núria Lladós Armengol, Lena Mondrejevski, Ioanna Miliou

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023