activity
20192025
most citedGenerative Language Models for Paragraph-Level Question Generation

7 citations · 16 across the 8 of their papers we have counts for

collaborators

11 papers

cs.CL2025★ 2 cited

UniversalCEFR: Enabling Open Multilingual Research on Language Proficiency Assessment

Joseph Marvin Imperial, Abdullah Barayan, Regina Stodden +16

We introduce UniversalCEFR, a large-scale multilingual and multidimensional dataset of texts annotated with CEFR (Common European Framework of Reference) levels in 13 languages. To…

cs.CL2024

Analysing Zero-Shot Readability-Controlled Sentence Simplification

Abdullah Barayan, Jose Camacho-Collados, Fernando Alva-Manchego

Readability-controlled text simplification (RCTS) rewrites texts to lower readability levels while preserving their meaning. RCTS models often depend on parallel corpora with reada…

cs.CL2023

BLESS: Benchmarking Large Language Models on Sentence Simplification

Tannon Kew, Alison Chi, Laura Vásquez-Rodríguez +4

We present BLESS, a comprehensive performance benchmark of the most recent state-of-the-art large language models (LLMs) on the task of text simplification (TS). We examine how wel…

cs.CL2023★ 2 cited

A Practical Toolkit for Multilingual Question and Answer Generation

Asahi Ushio, Fernando Alva-Manchego, Jose Camacho-Collados

Generating questions along with associated answers from a text has applications in several domains, such as creating reading comprehension tests for students, or improving document…

cs.CL2023★ 2 cited

An Empirical Comparison of LM-based Question and Answer Generation Methods

Asahi Ushio, Fernando Alva-Manchego, Jose Camacho-Collados

Question and answer generation (QAG) consists of generating a set of question-answer pairs given a context (e.g. a paragraph). This task has a variety of applications, such as data…

cs.CL2022★ 7 cited

Generative Language Models for Paragraph-Level Question Generation

Asahi Ushio, Fernando Alva-Manchego, Jose Camacho-Collados

Powerful generative models have led to recent progress in question generation (QG). However, it is difficult to measure advances in QG research since there are no standardized reso…