Tsvetomila Mihaylova

Orcid: 0000-0002-2864-5842

Affiliations:
  • Aalto University, Helsinki, Finland


According to our database1, Tsvetomila Mihaylova authored at least 25 papers between 2016 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
The Effects of Structured LLM-Generated Feedback on Programming Assignment Performance.
CoRR, May, 2026

Relational Scene Graphs for Object Grounding of Natural Language Commands.
CoRR, February, 2026

Can We Improve Educational Diagram Generation with In-Context Examples? Not if a Hallucination Spoils the Bunch.
CoRR, January, 2026

Evaluating LLM Driving Explanations through an Ego-Centric Scenario Taxonomy.
Proceedings of the Companion Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction, 2026

2025
Discrete Latent Structure in Neural Networks.
Found. Trends Signal Process., 2025

Adaptive Learning Curve Analytics with LLM-KC Identifiers for Knowledge Component Refinement.
Proceedings of the 2025 Conference on UK and Ireland Computing Education Research, 2025

Do Visual-Language Grid Maps Capture Latent Semantics?
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Injecting Conflict Situations in Autonomous Driving Simulation Using CARLA.
Proceedings of the 20th ACM/IEEE International Conference on Human-Robot Interaction, 2025

2024
Do Visual-Language Maps Capture Latent Semantics?
CoRR, 2024

Conflict Simulation for Shared Autonomy in Autonomous Driving.
Proceedings of the Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

Exploring Large Language Models for Trajectory Prediction: A Technical Perspective.
Proceedings of the Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

2022
Modeling Structure with Undirected Neural Networks.
Proceedings of the International Conference on Machine Learning, 2022

DeepSPIN: Deep Structured Prediction for Natural Language Processing.
Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, 2022

2020
Understanding the Mechanics of SPIGOT: Surrogate Gradients for Latent Structure Learning.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Automatic Fact-Checking Using Context and Discourse Information.
ACM J. Data Inf. Qual., 2019

SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

Scheduled Sampling for Transformers.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Latent Structure Models for Natural Language Processing.
Proceedings of the 57th Conference of the Association for Computational Linguistics: Tutorial Abstracts, 2019

2018
The dark side of news community forums: opinion manipulation trolls.
Internet Res., 2018

Fact Checking in Community Forums.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
The Case for Being Average: A Mediocrity Approach to Style Masking and Author Obfuscation.
CoRR, 2017

Do Not Trust the Trolls: Predicting Credibility in Community Question Answering Forums.
Proceedings of the International Conference Recent Advances in Natural Language Processing, 2017

The Case for Being Average: A Mediocrity Approach to Style Masking and Author Obfuscation - (Best of the Labs Track at CLEF-2017).
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2017

2016
SUper Team at SemEval-2016 Task 3: Building a Feature-Rich System for Community Question Answering.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

SU@PAN'2016: Author Obfuscation.
Proceedings of the Working Notes of CLEF 2016, 2016


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