SU@PAN'2016: Author Obfuscation. - Tsvetomila Mihaylova; Georgi Karadjov; Yasen Kiprov; Georgi Georgiev; Ivan Koychev; Preslav Nakov (CLEF (Working Notes), 2016)

SUper Team at SemEval-2016 Task 3: Building a Feature-Rich System for Community Question Answering. - Tsvetomila Mihaylova; Pepa Gencheva; Martin Boyanov; Ivana Yovcheva; Todor Mihaylov; Momchil Hardalov; Yasen Kiprov; Daniel Balchev; Ivan Koychev; Preslav Nakov; Ivelina Nikolova; Galia Angelova (SemEval@NAACL-HLT, 2016)

The Case for Being Average: A Mediocrity Approach to Style Masking and Author Obfuscation - (Best of the Labs Track at CLEF-2017). - Georgi Karadzhov; Tsvetomila Mihaylova; Yasen Kiprov; Georgi Georgiev; Ivan Koychev; Preslav Nakov (CLEF, 2017)

Do Not Trust the Trolls: Predicting Credibility in Community Question Answering Forums. - Preslav Nakov; Tsvetomila Mihaylova; Lluís Màrquez; Yashkumar Shiroya; Ivan Koychev (RANLP, 2017)

The Case for Being Average: A Mediocrity Approach to Style Masking and Author Obfuscation. - Georgi Karadjov; Tsvetomila Mihaylova; Yasen Kiprov; Georgi Georgiev; Ivan Koychev; Preslav Nakov (CoRR, 2017)

Fact Checking in Community Forums. - Tsvetomila Mihaylova; Preslav Nakov; Lluís Màrquez; Alberto Barrón-Cedeño; Mitra Mohtarami; Georgi Karadzhov; James R. Glass (AAAI, 2018)

The dark side of news community forums: opinion manipulation trolls. - Todor Mihaylov; Tsvetomila Mihaylova; Preslav Nakov; Lluís Màrquez; Georgi Georgiev; Ivan Koychev (Internet Res., 2018)

Latent Structure Models for Natural Language Processing. - André F. T. Martins; Tsvetomila Mihaylova; Nikita Nangia; Vlad Niculae (ACL (4), 2019)

Scheduled Sampling for Transformers. - Tsvetomila Mihaylova; André F. T. Martins (ACL (2), 2019)

SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums. - Tsvetomila Mihaylova; Georgi Karadzhov; Pepa Atanasova; Ramy Baly; Mitra Mohtarami; Preslav Nakov (SemEval@NAACL-HLT, 2019)

Automatic Fact-Checking Using Context and Discourse Information. - Pepa Atanasova; Preslav Nakov; Lluís Màrquez; Alberto Barrón-Cedeño; Georgi Karadzhov; Tsvetomila Mihaylova; Mitra Mohtarami; James R. Glass (ACM J. Data Inf. Qual., 2019)

Understanding the Mechanics of SPIGOT: Surrogate Gradients for Latent Structure Learning. - Tsvetomila Mihaylova; Vlad Niculae; André F. T. Martins (EMNLP (1), 2020)

DeepSPIN: Deep Structured Prediction for Natural Language Processing. - André F. T. Martins; Ben Peters; Chrysoula Zerva; Chunchuan Lyu; Gonçalo M. Correia; Marcos V. Treviso; Pedro Henrique Martins; Tsvetomila Mihaylova (EAMT, 2022)

Modeling Structure with Undirected Neural Networks. - Tsvetomila Mihaylova; Vlad Niculae; André F. T. Martins (ICML, 2022)

Exploring Large Language Models for Trajectory Prediction: A Technical Perspective. - Farzeen Munir; Tsvetomila Mihaylova; Shoaib Azam; Tomasz Piotr Kucner; Ville Kyrki (HRI (Companion), 2024)

Conflict Simulation for Shared Autonomy in Autonomous Driving. - Stefan Reitmann; Tsvetomila Mihaylova; Elin Anna Topp; Ville Kyrki (HRI (Companion), 2024)

Do Visual-Language Maps Capture Latent Semantics? - Matti Pekkanen; Tsvetomila Mihaylova; Francesco Verdoja; Ville Kyrki (CoRR, 2024)

Injecting Conflict Situations in Autonomous Driving Simulation Using CARLA. - Tsvetomila Mihaylova; Stefan Reitmann; Elin Anna Topp; Ville Kyrki (HRI, 2025)

Discrete Latent Structure in Neural Networks. - Vlad Niculae; Caio Corro; Nikita Nangia; Tsvetomila Mihaylova; André F. T. Martins (Found. Trends Signal Process., 2025)