Jablonka, Kevin Maik

8 publications

ICLRW 2025 Automated Data Extraction from Solar Cell Literature Using Large Language Models Sherjeel Shabih, Christoph T Koch, Kevin Maik Jablonka, José A. Márquez

NeurIPS 2025 ChemPile: A 250 GB Diverse and Curated Dataset for Chemical Foundation Models Adrian Mirza, Nawaf Alampara, Martiño Ríos-García, Mohamed Abdelalim, Jack Butler, Bethany Connolly, Tunca Dogan, Marianna Nezhurina, Bünyamin Şen, Santosh Tirunagari, Mark Worrall, Adamo Young, Philippe Schwaller, Michael Martin Pieler, Kevin Maik Jablonka

ICLRW 2025 LLM-as-Judge Meets LLM-as-Optimizer: Enhancing Organic Data Extraction Evaluations Through Dual LLM Approaches Martiño Ríos-García, Kevin Maik Jablonka

ICLRW 2025 Lifting the Benchmark Iceberg with Item-Response Theory Mara Schilling-Wilhelmi, Nawaf Alampara, Kevin Maik Jablonka

ICLRW 2025 MatBind: Probing the Multimodality of Materials Science with Contrastive Learning Adrian Mirza, Le Yang, Anoop K. Chandran, Jona Östreicher, Sebastien Bompas, Bashir Kazimi, Stefan Kesselheim, Pascal Friederich, Stefan Sandfeld, Kevin Maik Jablonka

ICLRW 2025 Semantic Device Graphs for Perovskite Solar Cell Design Anagha Aneesh, Nawaf Alampara, José~A.~Márque, Kevin Maik Jablonka

NeurIPSW 2024 Evaluating Chemistry Prompts for Large-Language Model Fine-Tuning Carmelo Gonzales, Michael Martin Pieler, Kevin Maik Jablonka, Santiago Miret

NeurIPSW 2022 Is GPT-3 All You Need for Machine Learning for Chemistry? Kevin Maik Jablonka, Philippe Schwaller, Berend Smit