Papers by Emma Lundberg
Classifying Implant-Bearing Patients via their Medical Histories: a Pre-Study on Swedish EMRs with Semi-Supervised GanBERT (2022.lrec-1)
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Benjamin Danielsson, Marina Santini, Peter Lundberg, Yosef Al-Abasse, Arne Jonsson, Emma Eneling, Magnus Stridsman
| Challenge: | Identifying the presence of implants in certain patients is important for radiologists because some implants are not compatible with MRI scanning. |
| Approach: | They compare the performance of two BERT-based text classifiers whose task is to classify patients as having or not having implant(s) in their body. |
| Outcome: | The proposed classifiers outperform fully-supervised classifier models on annotated data. |
PaperSearchQA: Learning to Search and Reason over Scientific Papers with RLVR (2026.eacl-long)
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James Burgess, Jan N. Hansen, Duo Peng, Yuhui Zhang, Alejandro Lozano, Min Woo Sun, Emma Lundberg, Serena Yeung-Levy
| Challenge: | Recent methods supervise only the final answer accuracy using reinforcement learning with verifiable rewards (RLVR). |
| Approach: | They propose to train search agents to search and reason over scientific papers and a factoid QA dataset with 60k biomedical paper abstracts. |
| Outcome: | The proposed model outperforms non-RL retrieval baselines and is scalable and extendable to other scientific domains. |