Ramamurthy, R., Ammanabrolu, P., Brantley, K., Hessel, J., Sifa, R., Bauckhage, C., Hajishirzi, H & Choi, Y. (2023). Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization. The Eleventh International Conference on Learning Representations (ICLR).
Link: https://openreview.net/forum?id=8aHzds2uUyB

Deußer, T., Hillebrand, L., Bauckhage, C., & Sifa, R. (2023). Informed Named Entity Recognition Decoding for Generative Language Models.
Link: https://doi.org/10.48550/arXiv.2308.07791

Wahab, A., & Sifa, R. (2021, December). DIBERT: Dependency injected bidirectional encoder representations from transformers. 2021 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1-8.
Link: https://doi.org/10.1109/SSCI50451.2021.9659898

Deußer, T., Leonhard, D., Hillebrand, L. P., Berger, A., Khaled, M., Heiden, S., Dilmaghani, T., Kliem, B., Loitz, R., Bauckhage, C., & Sifa, R. (2023). Uncovering Inconsistencies and Contradictions in Financial Reports using Large Language Models. International Conference on Big Data (BigData).
Link: https://doi.org/10.24406/publica-2501

Hillebrand, L., Deußer, T., Dilmaghani, T., Kliem, B., Loitz, R., Bauckhage, C., & Sifa, R. (2022). KPI-BERT: A joint named entity recognition and relation extraction model for financial reports. 2022 26th International Conference on Pattern Recognition (ICPR), pp. 606-612.
Link: https://doi.org/10.1109/ICPR56361.2022.9956191

Sifa, R., Ladi, A., Pielka, M., Ramamurthy, R., Hillebrand, L., Kirsch, B., ... & Loitz, R. (2019, September). Towards automated auditing with machine learning. In Proceedings of the ACM Symposium on Document Engineering (DocEng) 2019, pp. 1-4.
Link: https://doi.org/10.1145/3342558.3345421

Hillebrand, L., Pielka, M., Leonhard, D., Deußer, T., Dilmaghani, T., Kliem, B., Loitz, R., Morad, M.J., Temath, C., Bell, T., Stenzel, R., & Sifa, R. (2023). **sustain.AI: a Recommender System to analyze Sustainability Reports**. Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law (ICAIL).
Link: https://doi.org/10.1145/3594536.3595131

Biesner, D. , Schneider, H., Wulff, B., Attenberger, U. & Sifa, R. (2022). **Improving Chest X-Ray Classification by RNN-based Patient Monitoring.** 21st IEEE International Conference on Machine Learning and Applications (ICMLA), Nassau, Bahamas, 2022, pp. 946-950..
Link: https://doi.org/10.1109/ICMLA55696.2022.00158

Schneider, H., Lübbering, M., Kador, R., Broß, M., Priya, P., Biesner, D., Wulff, B., de Oliveira, T.B., Layer, Y.C., Attenberger, U. & Sifa, R. (2023). **Symmetry-Aware Siamese Network: Exploiting Pathological Asymmetry for Chest X-Ray Analysis.** Artificial Neural Networks and Machine Learning – ICANN 2023. Lecture Notes in Computer Science, 14257, Springer.
Link: https://doi.org/10.1007/978-3-031-44216-2_14

Luetkens, J.A., Nowak, S., Mesropyan, N. et al. (2022). **Deep learning supports the differentiation of alcoholic and other-than-alcoholic cirrhosis based on MRI.** Sci Rep 12, 8297.
Link: https://doi.org/10.1038/s41598-022-12410-2

Perry, R., Drachen, A., Kearney, A., Kriglstein, S., Nacke, L.E., Sifa, R., Wallner, G. & Johnson, D. (2018). **Online-only friends, real-life friends or strangers? Differential associations with passion and social capital in video game play.** Computers in Human Behavior, 79, pp. 202-210.
Link: https://doi.org/10.1016/j.chb.2017.10.032

Schaekermann, M., Ribeiro, G., Wallner, G., Kriglstein, S., Johnson, D., Drachen, A., Sifa, R. & Nacke, L. E. (2017). **Curiously Motivated: Profiling Curiosity with Self-Reports and Behaviour Metrics in the Game "Destiny".** Proceedings of the Annual Symposium on Computer-Human Interaction in Play 2017, New York, USA, pp. 143-156.
Link: https://doi.org/10.1145/3116595.3116603

Hadiji, F., Sifa, R., Drachen, A., Thurau, C., Kersting, K. & Bauckhage, C. (2014). **Predicting player churn in the wild.** 2014 IEEE Conference on Computational Intelligence and Games (CIG), Dortmund, Germany, pp. 1-8.
Link:https://doi.org/10.1109/CIG.2014.6932876