Korbinian Randl

16 papers B 1Journal 10Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
CHiL(L)Grader: Calibrated Human-in-the-Loop Short-Answer Grading.
CoRR
Pranav Raikote, Korbinian Randl, Ioanna Miliou, Athanasios Lakes, Panagiotis Papapetrou
2026 J jnl
Multimodal Machine Learning for Early Prediction of Metastasis in a Swedish Multi-Cancer Cohort.
CoRR
Franco Rugolon, Korbinian Randl, Braslav Jovanovic, Ioanna Miliou, Panagiotis Papapetrou
2026 J jnl
RAG-E: Quantifying Retriever-Generator Alignment and Failure Modes.
CoRR
Korbinian Randl, Guido Rocchietti, Aron Henriksson, Ziawasch Abedjan, Tony Lindgren, John Pavlopoulos
2025 J jnl
Efficient Text Classification with Conformal In-Context Learning.
CoRR
Ippokratis Pantelidis, Korbinian Randl, Aron Henriksson
2025 — conf
FoodSafeSum: Enabling Natural Language Processing Applications for Food Safety Document Summarization and Analysis.
EMNLP (Findings)
Juli Bakagianni, Korbinian Randl, Guido Rocchietti, Cosimo Rulli, Franco Maria Nardini, Salvatore Trani, Aron Henriksson, Anna Romanova, John Pavlopoulos
2025 J jnl
Mind the gap: from plausible to valid self-explanations in large language models.
Mach. Learn.
Korbinian Randl, John Pavlopoulos, Aron Henriksson, Tony Lindgren
2025 J jnl
SemEval-2025 Task 9: The Food Hazard Detection Challenge.
CoRR
Korbinian Randl, John Pavlopoulos, Aron Henriksson, Tony Lindgren, Juli Bakagianni
2024 J jnl
Automotive fault nowcasting with machine learning and natural language processing.
Mach. Learn.
John Pavlopoulos, Alv Romell, Jacob Curman, Olof Steinert, Tony Lindgren, Markus Borg, Korbinian Randl
2024 — conf
CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk Classification.
ACL (Findings)
Korbinian Randl, John Pavlopoulos, Aron Henriksson, Tony Lindgren
2024 J jnl
CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk Classification.
CoRR
Korbinian Randl, John Pavlopoulos, Aron Henriksson, Tony Lindgren
2024 J jnl
Evaluating the Reliability of Self-Explanations in Large Language Models.
CoRR
Korbinian Randl, John Pavlopoulos, Aron Henriksson, Tony Lindgren
2024 — conf
Evaluating the Reliability of Self-explanations in Large Language Models.
DS (1)
Korbinian Randl, John Pavlopoulos, Aron Henriksson, Tony Lindgren
2024 — conf
LongDoc Summarization using Instruction-tuned Large Language Models for Food Safety Regulations.
IIR
Guido Rocchietti, Cosimo Rulli, Korbinian Randl, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Salvatore Trani, Manos Karvounis, Jakub Janostik
2023 — conf
A Workflow for Creating Multimodal Machine Learning Models for Metastasis Predictions in Melanoma Patients.
PKDD/ECML Workshops (4)
Franco Rugolon, Korbinian Randl, Maria Bampa, Panagiotis Papapetrou
2023 B conf
Early prediction of the risk of ICU mortality with Deep Federated Learning.
CBMS
Korbinian Randl, Núria Lladós Armengol, Lena Mondrejevski, Ioanna Miliou
2022 J jnl
Early prediction of the risk of ICU mortality with Deep Federated Learning.
CoRR
Korbinian Randl, Núria Lladós Armengol, Lena Mondrejevski, Ioanna Miliou