Maxime Delmas
Orcid: 0000-0002-9352-0624Affiliations:
- Idiap Research Institute, Martigny, Switzerland
- University of Toulouse, TOXALIM Research Center in Food Toxicology, Toulouse, France (2019-2022)
According to our database1,
Maxime Delmas authored at least 13 papers
between 2021 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
CoRR, January, 2026
2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track), 2025
2024
Synthetic dataset for end-to-end Relation Extraction of relationships between Organisms and Natural-Products with Mixtral-8x7B-Instruct-v0.1.
Dataset, March, 2024
PLoS Comput. Biol., February, 2024
Large Language Models, scientific knowledge and factuality: A framework to streamline human expert evaluation.
J. Biomed. Informatics, 2024
Relation Extraction in Underexplored Biomedical Domains: A Diversity-optimized Sampling and Synthetic Data Generation Approach.
Comput. Linguistics, 2024
An LLM-based Knowledge Synthesis and Scientific Reasoning Framework for Biomedical Discovery.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2024
2023
Synthetic dataset for end-to-end Relation Extraction of relationships between Organisms and Natural-Products with Vicuna-13b-v1.5.
Dataset, November, 2023
Evaluation dataset for Relation Extraction of relationships between Organisms and Natural-Products.
Dataset, October, 2023
Synthetic datasets for end-to-end Relation Extraction of relationships between Organisms and Natural-Products.
Dataset, October, 2023
Relation Extraction in underexplored biomedical domains: A diversity-optimised sampling and synthetic data generation approach.
CoRR, 2023
Large Language Models, scientific knowledge and factuality: A systematic analysis in antibiotic discovery.
CoRR, 2023
2021
FORUM: building a Knowledge Graph from public databases and scientific literature to extract associations between chemicals and diseases.
Bioinform., 2021