PRAGWORLD: A Benchmark Evaluating LLMs’ Local World Model Under Minimal Linguistic Alterations and Conversational Dynamics
Code prompting elicits conditional reasoning abilities in text+ code llms
Out-of-distribution detection by leveraging between-layer transformation smoothness
CATfOOD: Counterfactual augmented training for improving out-of-domain performance and calibration
Easy to Decide, Hard to Agree: Reducing Disagreements Between Saliency Methods
Easy to Decide, Hard to Agree: Reducing Disagreements Between Saliency Methods
Toward Practical Usage of the Attention Mechanism as a Tool for Interpretability
Staying True to Your Word: (How) Can Attention Become Explanation?
Iterative Recursive Attention Model for Interpretable Sequence Classification
Predicting News Values from Headline Text and Emotions
Takelab at SemEval-2017 task 5: Linear aggregation of word embeddings for fine-grained sentiment analysis of financial news
Two Layers of Annotation for Representing Event Mentions in News Stories
TakeLab at SemEval-2016 Task 6: Stance Classification in Tweets Using a Genetic Algorithm Based Ensemble
Detecting and Ranking Conceptual Links between Texts Using a Knowledge Base
Teaching
University undergraduate
- Introduction to Artificial Intelligence (Lecturers)
- Introduction to Artificial Intelligence (Lecturers)
University graduate
- Deep Learning 1 (Lecturers)
- Text Analysis and Retrieval (Lecturers)
- Text Analysis and Retrieval (Lecturers)
- Machine Learning 2 (Laboratory exercises)
Pristupačnost