MULFE: A Multi-Level Benchmark for Free Text Model Editing
Adjusting the outdated behaviors of large langugae models (LLMs) after deployment
remains a significant challenge. It motivates the model editing research, which is however …
remains a significant challenge. It motivates the model editing research, which is however …
Pacuna: Automated fine-tuning of language models for particle accelerators
Navigating the landscape of particle accelerators has become increasingly challenging with
recent surges in contributions. These intricate devices challenge comprehension, even …
recent surges in contributions. These intricate devices challenge comprehension, even …
An Efficient Multilingual Language Model Compression through Vocabulary Trimming
Multilingual language model (LM) have become a powerful tool in NLP especially for non-
English languages. Nevertheless, model parameters of multilingual LMs remain large due to …
English languages. Nevertheless, model parameters of multilingual LMs remain large due to …
HintEval: A Comprehensive Framework for Hint Generation and Evaluation for Questions
Large Language Models (LLMs) are transforming how people find information, and many
users turn nowadays to chatbots to obtain answers to their questions. Despite the instant …
users turn nowadays to chatbots to obtain answers to their questions. Despite the instant …
ISQA: Informative Factuality Feedback for Scientific Summarization
We propose Iterative Facuality Refining on Informative Scientific Question-Answering (ISQA)
feedback\footnote {Code is available at\url {https://github. com/lizekai-richard/isqa}}, a …
feedback\footnote {Code is available at\url {https://github. com/lizekai-richard/isqa}}, a …
Once Upon a Replication: It is Humans' Turn to Evaluate AI's Understanding of Children's Stories for QA Generation
AM Florescu, M Micluta-Campeanu… - Proceedings of the …, 2024 - aclanthology.org
The following paper presents the outcomes of a collaborative experiment on human
evaluation from the ReproNLP 2024 shared task, track B, part of the ReproHum project. For …
evaluation from the ReproNLP 2024 shared task, track B, part of the ReproHum project. For …
Towards Vietnamese Question and Answer Generation: An Empirical Study
Question-answer generation (QAG) is a challenging task that generates both questions and
answers from a given input paragraph context. The QAG task has recently achieved …
answers from a given input paragraph context. The QAG task has recently achieved …
Automatic Multilingual Question Generation for Health Data Using LLMs
R Ackerman, R Balyan - International Conference on AI-generated …, 2023 - Springer
Question Generation (QG) involves automatic generation of yes/no, factual and Wh-
questions created from data sources such as a database, raw text or semantic …
questions created from data sources such as a database, raw text or semantic …