Amin Dada

Orcid: 0000-0003-4016-7799

According to our database1, Amin Dada authored at least 17 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Less Finetuning, Better Retrieval: Rethinking LLM Adaptation for Biomedical Retrievers via Synthetic Data and Model Merging.
CoRR, February, 2026

2025
Automatic Fine-grained Segmentation-assisted Report Generation.
CoRR, July, 2025

MeDiSumQA: Patient-Oriented Question-Answer Generation from Discharge Letters.
CoRR, February, 2025

FHIR-Former: enhancing clinical predictions through Fast Healthcare Interoperability Resources and large language models.
J. Am. Medical Informatics Assoc., 2025

Evaluating the effectiveness of biomedical fine-tuning for large language models on clinical tasks.
J. Am. Medical Informatics Assoc., 2025

Improving Medical Visual Instruction Tuning with Labeled Datasets.
Proceedings of the Foundation Models for General Medical AI - Third International Workshop, 2025

Evaluating Zero-Shot Foundation Models for Time Series Forecasting in Clinical Settings: A Simulation Study with Electronic Health Records.
Proceedings of the MEDINFO 2025 - Healthcare Smart × Medicine Deep, 2025

Towards Conditioning Clinical Text Generation for User Control.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

A Modular Approach for Clinical SLMs Driven by Synthetic Data with Pre-Instruction Tuning, Model Merging, and Clinical-Tasks Alignment.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data.
CoRR, 2024

CLUE: A Clinical Language Understanding Evaluation for LLMs.
CoRR, 2024

ChatGPT in healthcare: A taxonomy and systematic review.
Comput. Methods Programs Biomed., 2024

Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

IKIM at MEDIQA-M3G 2024: Multilingual Visual Question-Answering for Dermatology through VLM Fine-tuning and LLM Translations.
Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024

2023
On the Impact of Cross-Domain Data on German Language Models.
CoRR, 2023

FAM: Relative Flatness Aware Minimization.
Proceedings of the Topological, 2023

On the Impact of Cross-Domain Data on German Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023


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