27 citations · 30 across the 8 of their papers we have counts for
9 papers
Collecting Visually-Grounded Dialogue with A Game Of Sorts
Bram Willemsen, Dmytro Kalpakchi, Gabriel Skantze
An idealized, though simplistic, view of the referring expression production and grounding process in (situated) dialogue assumes that a speaker must merely appropriately specify t…
EMBRACE: Evaluation and Modifications for Boosting RACE
Mariia Zyrianova, Dmytro Kalpakchi, Johan Boye
When training and evaluating machine reading comprehension models, it is very important to work with high-quality datasets that are also representative of real-world reading compre…
SweCTRL-Mini: a data-transparent Transformer-based large language model for controllable text generation in Swedish
Dmytro Kalpakchi, Johan Boye
We present SweCTRL-Mini, a large Swedish language model that can be used for inference and fine-tuning on a single consumer-grade GPU. The model is based on the CTRL architecture b…
Automatically generating question-answer pairs for assessing basic reading comprehension in Swedish
Dmytro Kalpakchi, Johan Boye
This paper presents an evaluation of the quality of automatically generated reading comprehension questions from Swedish text, using the Quinductor method. This method is a light-w…
Minor changes make a difference: a case study on the consistency of UD-based dependency parsers
Dmytro Kalpakchi, Johan Boye
Many downstream applications are using dependency trees, and are thus relying on dependency parsers producing correct, or at least consistent, output. However, dependency parsers a…
BERT-based distractor generation for Swedish reading comprehension questions using a small-scale dataset
Dmytro Kalpakchi, Johan Boye
An important part when constructing multiple-choice questions (MCQs) for reading comprehension assessment are the distractors, the incorrect but preferably plausible answer options…
Quinductor: a multilingual data-driven method for generating reading-comprehension questions using Universal Dependencies
Dmytro Kalpakchi, Johan Boye
We propose a multilingual data-driven method for generating reading comprehension questions using dependency trees. Our method provides a strong, mostly deterministic, and inexpens…
[Re] Learning to Learn By Self-Critique
Isac Arnekvist, Dmytro Kalpakchi
This work is a reproducibility study of the paper of Antoniou and Storkey [2019], published at NeurIPS 2019. Our results are in parts similar to the ones reported in the original p…
Towards Novel Organic High- Superconductors: Data Mining using Density of States Similarity Search
R. Matthias Geilhufe, Stanislav S. Borysov, Dmytro Kalpakchi +1
Identifying novel functional materials with desired key properties is an important part of bridging the gap between fundamental research and technological advancement. In this cont…