Marcos Martínez Galindo

According to our database, Marcos Martínez Galindo authored at least 11 papers between 2023 and 2026.

Collaborative distances:

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

2026

Generalist Large Language Models for Molecular Property Prediction: Distilling Knowledge from Specialist Models.

Khiem Le, Sreejata Dey, Marcos Martínez Galindo, Vanessa López, Ting Hua, Nitesh V. Chawla, Hoang Thanh Lam

CoRR, March, 2026

OpenBioNER-v2: A suite of lightweight models for zero-shot medical named entity recognition via type descriptions.

Alessio Cocchieri, Giacomo Frisoni, Francesco Zangrillo, Luca Ragazzi, Marcos Martínez Galindo, Giuseppe Tagliavini, Gianluca Moro

Expert Syst. Appl., 2026

2025

WaveGAS: Waveform Relaxation for Scaling Graph Neural Networks.

Jana Vatter, Mykhaylo Zayats, Marcos Martínez Galindo, Vanessa López, Ruben Mayer, Hans-Arno Jacobsen, Hoang Thanh Lam

CoRR, February, 2025

Enhancing foundation models for scientific discovery via multimodal knowledge graph representations.

Vanessa López, Thanh Lam Hoang, Marcos Martínez Galindo, Raúl Fernández-Díaz, Marco Luca Sbodio, Rodrigo Ordonez-Hurtado, Mykhaylo Zayats, Natasha Mulligan, Joao H. Bettencourt-Silva

J. Web Semant., 2025

OpenBioNER: Lightweight Open-Domain Biomedical Named Entity Recognition Through Entity Type Description.

Alessio Cocchieri, Giacomo Frisoni, Marcos Martínez Galindo, Gianluca Moro, Giuseppe Tagliavini, Francesco Candoli

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Multimodal Structured Data to LLM Adaptation System.

Barbara Hoffmann, Marcos Martínez Galindo, Ruben Mayer, Vanessa López Garcia, Thanh Lam Hoang

Proceedings of the IEEE International Conference on Data Mining, 2025

ZeroNER: Fueling Zero-Shot Named Entity Recognition via Entity Type Descriptions.

Alessio Cocchieri, Marcos Martínez Galindo, Giacomo Frisoni, Gianluca Moro, Claudio Sartori, Giuseppe Tagliavini

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

2024

Description Boosting for Zero-Shot Entity and Relation Classification.

Gabriele Picco, Leopold Fuchs, Marcos Martínez Galindo, Alberto Purpura, Vanessa López, Hoang Thanh Lam

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

Knowledge Enhanced Representation Learning for Drug Discovery.

Thanh Lam Hoang, Marco Luca Sbodio, Marcos Martínez Galindo, Mykhaylo Zayats, Raúl Fernández-Díaz, Victor Valls, Gabriele Picco, Cesar Berrospi, Vanessa López

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Otter-Knowledge: benchmarks of multimodal knowledge graph representation learning from different sources for drug discovery.

Hoang Thanh Lam, Marco Luca Sbodio, Marcos Martínez Galindo, Mykhaylo Zayats, Raúl Fernández-Díaz, Víctor Valls, Gabriele Picco, Cesar Berrospi Ramis, Vanessa López

CoRR, 2023

Zshot: An Open-source Framework for Zero-Shot Named Entity Recognition and Relation Extraction.

Gabriele Picco, Marcos Martínez Galindo, Alberto Purpura, Leopold Fuchs, Vanessa López, Thanh Lam Hoang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2023