I am interested in applying physical AI to real-world problems.
If you have a repetitive process which you want automated but have not yet, please get in touch.
Tsvetomila Mihaylova, Jing Fan, Bita Akram, Narges Norouzi, Peter Brusilovsky, Juho Leinonen, Arto Hellas. 2026. 'Analyzing the Difficulty of Programming Assignments with Interpretable Knowledge Component Metrics.' Proceedings of the 2026 IEEE Frontiers in Education Conference (FIE). https://arxiv.org/abs/2607.03419
Tsvetomila Mihaylova, Evanfiya Logacheva, Arto Hellas, Jing Fan, Francisco Castro, Bita Akram, Narges Norouzi, Peter Brusilovsky, Juho Leinonen. 2026. 'The Effects of Structured LLM-Generated Feedback on Programming Assignment Performance.' Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026), ACL. https://aclanthology.org/2026.bea-1.42/
Jing Fan, Tsvetomila Mihaylova, Bita Akram, Narges Norouzi, Peter Brusilovsky, Arto Hellas, Juho Leinonen. 2025. 'Adaptive Learning Curve Analytics with LLM-KC Identifiers for Knowledge Component Refinement.' UK and Ireland Computing Education Research (UKICER) 2025, Edinburgh, UK. https://dl.acm.org/doi/10.1145/3754508.3754514
Shengheng Yan, Tsvetomila Mihaylova. 2026. 'Evaluating LLM Driving Explanations through an Ego-Centric Scenario Taxonomy.' HRI Companion '26. https://dl.acm.org/doi/10.1145/3776734.3794466
Julia Kuhn, Francesco Verdoja, Tsvetomila Mihaylova, Ville Kyrki. 2026. 'Relational Scene Graphs for Object Grounding of Natural Language Commands.' 2026 IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). https://arxiv.org/abs/2602.04635
Matti Pekkanen, Tsvetomila Mihaylova, Francesco Verdoja, Ville Kyrki. 2025. 'Do Visual-Language Maps Capture Latent Semantics?' IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025), Hangzhou, China. https://arxiv.org/abs/2403.10117
Farzeen Munir, Shoaib Azam, Tsvetomila Mihaylova, Tomasz Piotr Kucner, Ville Kyrki. 2025. 'Pedestrian Vision Language Model for Intentions Prediction.' IEEE Open Journal of Intelligent Transportation Systems, vol. 6, pp. 393–406. https://ieeexplore.ieee.org/document/10938210/
Tsvetomila Mihaylova, Stefan Reitmann, Elin Anna Topp, Ville Kyrki. 2025. 'Injecting Conflicts in Autonomous Driving Simulation using CARLA.' HRI '25 Companion. https://dl.acm.org/doi/10.1145/3610978.3640589
Stefan Reitmann, Tsvetomila Mihaylova, Elin Anna Topp, Ville Kyrki. 2024. 'Conflict Simulation for Shared Autonomy in Autonomous Driving.' HRI '24 Companion. https://dl.acm.org/doi/10.1145/3610978.3640589
Farzeen Munir, Tsvetomila Mihaylova, Shoaib Azam, Tomasz Piotr Kucner, Ville Kyrki. 2024. 'Exploring Large Language Models for Trajectory Prediction: A Technical Perspective.' HRI '24 Companion. https://dl.acm.org/doi/10.1145/3610978.3640625
Matti Pekkanen, Tsvetomila Mihaylova, Francesco Verdoja, Ville Kyrki. 2024. 'Evaluating the Quality of Robotic Visual-Language Maps.' First Workshop on Vision-Language Models for Navigation and Manipulation at ICRA 2024, Yokohama, Japan. https://openreview.net/forum?id=FspmwJHZ2G
Vlad Niculae, Caio Corro, Nikita Nangia, Tsvetomila Mihaylova, André F. T. Martins. 2025. 'Discrete Latent Structure in Neural Networks.' Foundations and Trends® in Signal Processing, Vol. 19: No. 2, pp. 99-211. https://www.nowpublishers.com/article/Details/SIG-134
Tsvetomila Mihaylova, Vlad Niculae, André F. T. Martins. 2022. 'Modeling Structure with Undirected Neural Networks.' Proceedings of the 39th International Conference on Machine Learning, PMLR 162:15544-15560. https://proceedings.mlr.press/v162/mihaylova22a.html
Tsvetomila Mihaylova, Vlad Niculae, André F. T. Martins. 2020. 'Understanding the Mechanics of SPIGOT: Surrogate Gradients for Latent Structure Learning.' EMNLP 2020, pp. 2186–2202, ACL. https://aclanthology.org/2020.emnlp-main.171/
Tsvetomila Mihaylova, André F. T. Martins. 2019. 'Scheduled Sampling for Transformers.' ACL 2019 Student Research Workshop, pp. 351–356, Florence, Italy. https://aclanthology.org/P19-2049/
Tsvetomila Mihaylova, Preslav Nakov, Lluís Màrquez, Alberto Barrón-Cedeño, Mitra Mohtarami, Georgi Karadzhov, James Glass. 2019. 'SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums.' 13th International Workshop on Semantic Evaluation, pp. 860–869, Minneapolis, MN. https://aclanthology.org/S19-2149/
Pepa Atanasova, Preslav Nakov, Lluís Màrquez, Alberto Barrón-Cedeño, Georgi Karadzhov, Tsvetomila Mihaylova, Mitra Mohtarami, James Glass. 2019. 'Automatic Fact-Checking Using Context and Discourse Information.' Journal of Data and Information Quality (JDIQ), Vol. 11, Issue 3, Article 12, pp. 1–27. https://dl.acm.org/doi/abs/10.1145/3297722
Tsvetomila Mihaylova, Preslav Nakov, Lluís Màrquez, Alberto Barrón-Cedeño, Mitra Mohtarami, Georgi Karadzhov, James Glass. 2018. 'Fact Checking in Community Forums.' 32nd AAAI Conference on Artificial Intelligence 2018. https://aaai.org/papers/11983-fact-checking-in-community-forums/
Todor Mihaylov, Tsvetomila Mihaylova, Preslav Nakov, Lluís Màrquez, Georgi D. Georgiev, Ivan Kolev Koychev. 2018. 'The Dark Side of News Community Forums: Opinion Manipulation Trolls.' Internet Research. https://www.emerald.com/insight/content/doi/10.1108/intr-03-2017-0118/full/html
Preslav Nakov, Tsvetomila Mihaylova, Lluís Màrquez, Yashkumar Shiroya, Ivan Koychev. 2017. 'Do Not Trust the Trolls: Predicting Credibility in Community Question Answering Forums.' RANLP 2017, pp. 551–560, Varna, Bulgaria. https://aclanthology.org/R17-1072/
Tsvetomila Mihaylova, Ivan Koychev, Preslav Nakov, Ivelina Nikolova. 2016. 'Finding Good Answers in Online Forums: Community Question Answering for Bulgarian.' Second International Conference on Computational Linguistics in Bulgaria (CLIB 2016), pp. 54–63, Sofia, Bulgaria. https://aclanthology.org/2016.clib-1.7/
Tsvetomila Mihaylova, Georgi Karadjov, Yasen Kiprov, Georgi Georgiev, Ivan Koychev, Preslav Nakov. 2016. 'SU@PAN'2016: Author Obfuscation.' Working Notes of CLEF 2016. https://ir.webis.de/anthology/2016.clef_conference-2016w.93/
Tsvetomila Mihaylova, Pepa Gencheva, Martin Boyanov, Ivana Yovcheva, Todor Mihaylov, Momchil Hardalov, Yasen Kiprov, Daniel Balchev, Ivan Koychev, Preslav Nakov, Ivelina Nikolova, Galia Angelova. 2016. 'SUper Team at SemEval-2016 Task 3: Building a Feature-Rich System for Community Question Answering.' 10th International Workshop on Semantic Evaluation (SemEval-2016), pp. 836–843, San Diego, CA. https://aclanthology.org/S16-1129/