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Antonela Tommasel

Dr.

  • Institute of Computational Perception
  • Emailantonela.tommaseljkuat
  • Overview
  • Network
  • Research output (5)
  • Projects (1)

Research output

  • 5 Conference proceedings
  • Architecture Exploration and Reflection Meet LLM-based Agents

    Diaz-Pace, A., Tommasel, A., Capilla, R. & Ramírez, Y. E., 2025, Proceedings of the 2025 IEEE 22nd International Conference on Software Architecture Companion (ICSA-C). 1 ed. p. 46-50 5 p. (Proceedings - 2025 IEEE 22nd International Conference on Software Architecture, ICSA-C 2025).

    Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

  • BEHAV-E! You are Not Just a Number to Us, but an R2048 Embedding

    Rodriguez, J. & Tommasel, A., 21 Sept 2025, RecSysChallenge '25: Proceedings of the Recommender Systems Challenge 2025. 1 ed. p. 16-20 5 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

    Open Access
  • Characterizing Positional Bias in Large Language Models: A Multi-Model Evaluation of Prompt Order Effects

    Schilcher, P., Karasin, D., Schöpf, M., Saleh, M., Tommasel, A. & Schedl, M., Nov 2025, Findings of the Association for Computational Linguistics: EMNLP 2025. Christodoulopoulos, C., Chakraborty, T., Rose, C. & Peng, V. (eds.). 1 ed. Association for Computational Linguistics, p. 20643-20664 22 p. (EMNLP 2025 - 2025 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2025).

    Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

    Open Access
  • Fine-tuning for Inference-efficient Calibrated Recommendations

    Lesota, O., Bajko, A., Walder, M., Wenzel, M., Tommasel, A. & Schedl, M., 07 Aug 2025, Proceedings of the Nineteenth ACM Conference on Recommender Systems. 1 ed. p. 1187-1192 6 p. (RecSys2025 - Proceedings of the 19th ACM Conference on Recommender Systems).

    Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

    Open Access
  • Investigating Carbon Footprint of Recommender Systems Beyond Training Time

    Schodl, J., Lesota, O., Tommasel, A. & Schedl, M., 07 Sept 2025, RecSys '25: Proceedings of the Nineteenth ACM Conference on Recommender Systems. 1 ed. p. 1206-1211 6 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

    Open Access

Projects

  • 1 Active
  • Cluster of Excellence "Bilateral Artificial Intelligence"

    Fürnkranz, J. (PI), Hochreiter, S. (PI), Klambauer, G. (PI), Schedl, M. (PI), Seidl, M. (PI), Widmer, G. (PI), Brandstetter, J. (PI), Kobler, E. (PI), Aichernig, B. (PI), Heisinger, M. (Researcher), Hoedt, P.-J. (Researcher), Pfeiffer, P. (Researcher), Plank, A. (Researcher), Radler, A. (Researcher), Rebola Pardo, A. (Researcher), Lin, W. (Researcher), Eckert, H. (Researcher), Cranganore, S. S. (Researcher), Hartl, A.-R. (Researcher), Plasser, M. (Researcher), Pammer, T. (Researcher), Tommasel, A. (Researcher), Nawaz, S. (Researcher), Masoudian, S. (Researcher) & Freinschlag, R. (Researcher)

    01.10.2024 → 30.09.2029

    Project: Funded research › FWF - Austrian Science Fund

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