NLPExplorer

BEA - 2024

Total Papers:- 59

Total Papers accross all years:- 437

Total Citations :- 0

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Using Adaptive Empathetic Responses for Teaching English

Li Siyan | Teresa Shao | Julia Hirschberg | Zhou Yu |

A World CLASSE Student Summary Corpus

Scott Crossley | Perpetual Baffour | Mihai Dascalu | Stefan Ruseti |

The BEA 2024 Shared Task on the Multilingual Lexical Simplification Pipeline

UPN-ICC at BEA 2024 Shared Task: Leveraging LLMs for Multiple-Choice Questions Difficulty Prediction

George Duenas | Sergio Jimenez | Geral Mateus Ferro |

Harnessing GPT to Study Second Language Learner Essays: Can We Use Perplexity to Determine Linguistic Competence?

Ricardo Muñoz Sánchez | Simon Dobnik | Elena Volodina |

Utilizing Machine Learning to Predict Question Difficulty and Response Time for Enhanced Test Construction

Rishikesh Fulari | Jonathan Rusert |

Automated Essay Scoring Using Grammatical Variety and Errors with Multi-Task Learning and Item Response Theory

Kosuke Doi | Katsuhito Sudoh | Satoshi Nakamura |

Can Language Models Guess Your Identity? Analyzing Demographic Biases in AI Essay Scoring

Alexander Kwako | Christopher Ormerod |

Large Language Models Are State-of-the-Art Evaluator for Grammatical Error Correction

Masamune Kobayashi | Masato Mita | Mamoru Komachi |

Identifying Fairness Issues in Automatically Generated Testing Content

Kevin Stowe |

Using Program Repair as a Proxy for Language Models’ Feedback Ability in Programming Education

Charles Koutcheme | Nicola Dainese | Arto Hellas |

Improving Socratic Question Generation using Data Augmentation and Preference Optimization

Nischal Ashok Kumar | Andrew Lan |

Assessing Student Explanations with Large Language Models Using Fine-Tuning and Few-Shot Learning

LLMs in Short Answer Scoring: Limitations and Promise of Zero-Shot and Few-Shot Approaches

Imran Chamieh | Torsten Zesch | Klaus Giebermann |

TMU-HIT at MLSP 2024: How Well Can GPT-4 Tackle Multilingual Lexical Simplification?