NLPExplorer

BEA - 2024

Total Papers:- 59

Total Papers accross all years:- 437

Total Citations :- 0

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ITEC at MLSP 2024: Transferring Predictions of Lexical Difficulty from Non-Native Readers

Anaïs Tack |

Improving Readability Assessment with Ordinal Log-Loss

Ho Hung Lim | John Lee |

Improving Transfer Learning for Early Forecasting of Academic Performance by Contextualizing Language Models

Ahatsham Hayat | Bilal Khan | Mohammad Hasan |

Improving Automated Distractor Generation for Math Multiple-choice Questions with Overgenerate-and-rank

Beyond Flesch-Kincaid: Prompt-based Metrics Improve Difficulty Classification of Educational Texts

Donya Rooein | Paul Röttger | Anastassia Shaitarova | Dirk Hovy |

GMU at MLSP 2024: Multilingual Lexical Simplification with Transformer Models

Dhiman Goswami | Kai North | Marcos Zampieri |

UNED team at BEA 2024 Shared Task: Testing different Input Formats for predicting Item Difficulty and Response Time in Medical Exams

Alvaro Rodrigo | Sergio Moreno-Álvarez | Anselmo Peñas |

Predicting Item Difficulty and Item Response Time with Scalar-mixed Transformer Encoder Models and Rational Network Regression Heads

Sebastian Gombert | Lukas Menzel | Daniele Di Mitri | Hendrik Drachsler |

RETUYT-INCO at MLSP 2024: Experiments on Language Simplification using Embeddings, Classifiers and Large Language Models

How Good are Modern LLMs in Generating Relevant and High-Quality Questions at Different Bloom’s Skill Levels for Indian High School Social Science Curriculum?

Nicy Scaria | Suma Chenna | Deepak Subramani |

Anna Karenina Strikes Again: Pre-Trained LLM Embeddings May Favor High-Performing Learners

Abigail Gurin Schleifer | Beata Beigman Klebanov | Moriah Ariely | Giora Alexandron |

Towards Fine-Grained Pedagogical Control over English Grammar Complexity in Educational Text Generation

Dominik Glandorf | Detmar Meurers |

Predicting Initial Essay Quality Scores to Increase the Efficiency of Comparative Judgment Assessments