most citedDistractor generation for multiple-choice questions with predictive prompting and large language models

4 citations · 6 across the 6 of their papers we have counts for

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cs.CL20231 cited

Zero-Shot Cross-Lingual Sentiment Classification under Distribution Shift: an Exploratory Study

Maarten De Raedt, Semere Kiros Bitew, Fréderic Godin +2

The brittleness of finetuned language model performance on out-of-distribution (OOD) test samples in unseen domains has been well-studied for English, yet is unexplored for multi-l…

cs.CL2023

Personality Style Recognition via Machine Learning: Identifying Anaclitic and Introjective Personality Styles from Patients' Speech

Semere Kiros Bitew, Vincent Schelstraete, Klim Zaporojets +3

In disentangling the heterogeneity observed in psychopathology, personality of the patients is considered crucial. While it has been demonstrated that personality traits are reflec…

cs.CL2023

CAW-coref: Conjunction-Aware Word-level Coreference Resolution

Karel D'Oosterlinck, Semere Kiros Bitew, Brandon Papineau +3

State-of-the-art coreference resolutions systems depend on multiple LLM calls per document and are thus prohibitively expensive for many use cases (e.g., information extraction wit…

cs.CL20234 cited

Distractor generation for multiple-choice questions with predictive prompting and large language models

Semere Kiros Bitew, Johannes Deleu, Chris Develder +1

Large Language Models (LLMs) such as ChatGPT have demonstrated remarkable performance across various tasks and have garnered significant attention from both researchers and practit…

cs.CL20231 cited

Learning from Partially Annotated Data: Example-aware Creation of Gap-filling Exercises for Language Learning

Semere Kiros Bitew, Johannes Deleu, A. Seza Doğruöz +2

Since performing exercises (including, e.g., practice tests) forms a crucial component of learning, and creating such exercises requires non-trivial effort from the teacher, there…

cs.CL2022

EduQG: A Multi-format Multiple Choice Dataset for the Educational Domain

Amir Hadifar, Semere Kiros Bitew, Johannes Deleu +2

We introduce a high-quality dataset that contains 3,397 samples comprising (i) multiple choice questions, (ii) answers (including distractors), and (iii) their source documents, fr…