30 citations · 32 across the 13 of their papers we have counts for
15 papers
Analyzing the Difficulty of Programming Assignments with Interpretable Knowledge Component Metrics
Tsvetomila Mihaylova, Jing Fan, Bita Akram +4
This research paper examines how Knowledge Components (KCs) - fine-grained concepts or skills required to solve programming tasks - can be used as interpretable signals for underst…
The Effects of Structured LLM-Generated Feedback on Programming Assignment Performance
Tsvetomila Mihaylova, Evanfiya Logacheva, Arto Hellas +6
When programming students encounter errors in their code, compiler messages or static analysis output often provide limited guidance, particularly for novice programmers. Personali…
Relational Scene Graphs for Object Grounding of Natural Language Commands
Julia Kuhn, Francesco Verdoja, Tsvetomila Mihaylova +1
Robots are finding wider adoption in human environments, increasing the need for natural human-robot interaction. However, understanding a natural language command requires the rob…
In-Context Learning for Diagram Code Generation: What is the Effect on Faithfulness and Quality?
Evanfiya Logacheva, Arto Hellas, Tsvetomila Mihaylova +3
We investigate how provision of in-context examples based on discourse similarity affects quality and hallucination in diagram code generation from educational materials. Using a s…
Injecting Conflict Situations in Autonomous Driving Simulation using CARLA
Tsvetomila Mihaylova, Stefan Reitmann, Elin A. Topp +1
Simulation of conflict situations for autonomous driving research is crucial for understanding and managing interactions between Automated Vehicles (AVs) and human drivers. This pa…
Do Visual-Language Grid Maps Capture Latent Semantics?
Matti Pekkanen, Tsvetomila Mihaylova, Francesco Verdoja +1
Visual-language models (VLMs) have recently been introduced in robotic mapping using the latent representations, i.e., embeddings, of the VLMs to represent semantics in the map. Th…
Discrete Latent Structure in Neural Networks
Vlad Niculae, Caio F. Corro, Nikita Nangia +2
Many types of data from fields including natural language processing, computer vision, and bioinformatics, are well represented by discrete, compositional structures such as trees,…
Modeling Structure with Undirected Neural Networks
Tsvetomila Mihaylova, Vlad Niculae, André F. T. Martins
Neural networks are powerful function estimators, leading to their status as a paradigm of choice for modeling structured data. However, unlike other structured representations tha…
SUper Team at SemEval-2016 Task 3: Building a feature-rich system for community question answering
Tsvetomila Mihaylova, Pepa Gencheva, Martin Boyanov +9
We present the system we built for participating in SemEval-2016 Task 3 on Community Question Answering. We achieved the best results on subtask C, and strong results on subtasks A…
Understanding the Mechanics of SPIGOT: Surrogate Gradients for Latent Structure Learning
Tsvetomila Mihaylova, Vlad Niculae, André F. T. Martins
Latent structure models are a powerful tool for modeling language data: they can mitigate the error propagation and annotation bottleneck in pipeline systems, while simultaneously…
Automatic Fact-Checking Using Context and Discourse Information
Pepa Atanasova, Preslav Nakov, Lluís Màrquez +5
We study the problem of automatic fact-checking, paying special attention to the impact of contextual and discourse information. We address two related tasks: (i) detecting check-w…
Scheduled Sampling for Transformers
Tsvetomila Mihaylova, André F. T. Martins
Scheduled sampling is a technique for avoiding one of the known problems in sequence-to-sequence generation: exposure bias. It consists of feeding the model a mix of the teacher fo…
SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums
Tsvetomila Mihaylova, Georgi Karadjov, Pepa Atanasova +3
We present SemEval-2019 Task 8 on Fact Checking in Community Question Answering Forums, which features two subtasks. Subtask A is about deciding whether a question asks for factual…
Fact Checking in Community Forums
Tsvetomila Mihaylova, Preslav Nakov, Lluis Marquez +4
Community Question Answering (cQA) forums are very popular nowadays, as they represent effective means for communities around particular topics to share information. Unfortunately,…
The Case for Being Average: A Mediocrity Approach to Style Masking and Author Obfuscation
Georgi Karadjov, Tsvetomila Mihaylova, Yasen Kiprov +3
Users posting online expect to remain anonymous unless they have logged in, which is often needed for them to be able to discuss freely on various topics. Preserving the anonymity…