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Data selection for finetuning Large Language Models (LLMs) can be framed as a budget-constrained optimization problem: maximizing a model's downstream performance under a strict training data budget. Solving this problem is generally…

Machine Learning · Computer Science 2025-10-01 Animesh Jha , Harshit Gupta , Ananjan Nandi

Automatically associating ICD codes with electronic health data is a well-known NLP task in medical research. NLP has evolved significantly in recent years with the emergence of pre-trained language models based on Transformers…

Computation and Language · Computer Science 2023-04-07 Yakini Tchouka , Jean-François Couchot , David Laiymani , Philippe Selles , Azzedine Rahmani

Speech recognition has of late become a practical technology for real world applications. Aiming at speech-driven text retrieval, which facilitates retrieving information with spoken queries, we propose a method to integrate speech…

Computation and Language · Computer Science 2007-05-23 Atsushi Fujii , Katunobu Itou , Tetsuya Ishikawa

Preservation of domain knowledge from the source to target is crucial in any translation workflow. It is common in the translation industry to receive highly specialized projects, where there is hardly any parallel in-domain data. In such…

Computation and Language · Computer Science 2022-09-15 Yasmin Moslem , Rejwanul Haque , John D. Kelleher , Andy Way

Segmenting audio into homogeneous sections such as music and speech helps us understand the content of audio. It is useful as a pre-processing step to index, store, and modify audio recordings, radio broadcasts and TV programmes. Deep…

In this letter, we contribute a multi-language handwritten digit recognition dataset named MNIST-MIX, which is the largest dataset of the same type in terms of both languages and data samples. With the same data format with MNIST, MNIST-MIX…

Computer Vision and Pattern Recognition · Computer Science 2021-01-28 Weiwei Jiang

Data profiling is critical in machine learning for generating descriptive statistics, supporting both deeper understanding and downstream tasks like data valuation and curation. This work addresses profiling specifically in the context of…

Software Engineering · Computer Science 2025-03-21 Pankaj Thorat , Adnan Qidwai , Adrija Dhar , Aishwariya Chakraborty , Anand Eswaran , Hima Patel , Praveen Jayachandran

ChatGPT is one of the most popular language models which achieve amazing performance on various natural language tasks. Consequently, there is also an urgent need to detect the texts generated ChatGPT from human written. One of the…

Computation and Language · Computer Science 2023-10-04 Han Xu , Jie Ren , Pengfei He , Shenglai Zeng , Yingqian Cui , Amy Liu , Hui Liu , Jiliang Tang

For the last few years, the amount of data has significantly increased in the companies. It is the reason why data analysis methods have to evolve to meet new demands. In this article, we introduce a practical analysis of a large database…

Machine Learning · Statistics 2015-11-02 Romain Guigourès , Marc Boullé , Fabrice Rossi

Large Language Models (LLMs) are increasingly leveraged for translation tasks but often fall short when translating inclusive language -- such as texts containing the singular 'they' pronoun or otherwise reflecting fair linguistic…

Computation and Language · Computer Science 2025-05-06 Fanny Jourdan , Yannick Chevalier , Cécile Favre

The distribution of subpopulations is an important property hidden within a dataset. Uncovering and analyzing the subpopulation distribution within datasets provides a comprehensive understanding of the datasets, standing as a powerful tool…

Computer Vision and Pattern Recognition · Computer Science 2024-07-25 Yulin Luo , Ruichuan An , Bocheng Zou , Yiming Tang , Jiaming Liu , Shanghang Zhang

We present the Claire French Dialogue Dataset (CFDD), a resource created by members of LINAGORA Labs in the context of the OpenLLM France initiative. CFDD is a corpus containing roughly 160 million words from transcripts and stage plays in…

Computation and Language · Computer Science 2023-11-29 Julie Hunter , Jérôme Louradour , Virgile Rennard , Ismaïl Harrando , Guokan Shang , Jean-Pierre Lorré

We study the effectiveness of Feature Density (FD) using different linguistically-backed feature preprocessing methods in order to estimate dataset complexity, which in turn is used to comparatively estimate the potential performance of…

Computation and Language · Computer Science 2021-11-04 Juuso Eronen , Michal Ptaszynski , Fumito Masui , Aleksander Smywiński-Pohl , Gniewosz Leliwa , Michal Wroczynski

Learned metrics such as BLEURT have in recent years become widely employed to evaluate the quality of machine translation systems. Training such metrics requires data which can be expensive and difficult to acquire, particularly for…

Computation and Language · Computer Science 2023-02-08 Amirkeivan Mohtashami , Mauro Verzetti , Paul K. Rubenstein

Dataset distillation (DD) has emerged as a widely adopted technique for crafting a synthetic dataset that captures the essential information of a training dataset, facilitating the training of accurate neural models. Its applications span…

Machine Learning · Computer Science 2025-02-04 Saeed Vahidian , Mingyu Wang , Jianyang Gu , Vyacheslav Kungurtsev , Wei Jiang , Yiran Chen

Objective Structured Clinical Examinations (OSCEs) are the standard method for assessing medical students' clinical and communication skills through structured patient interviews. In France, however, the organization of training sessions is…

Computation and Language · Computer Science 2026-04-10 Tian Huang , Tom Bourgeade , Irina Illina

Text classification is one of the most widely studied tasks in natural language processing. Motivated by the principle of compositionality, large multilayer neural network models have been employed for this task in an attempt to effectively…

Computation and Language · Computer Science 2018-08-07 Devendra Singh Sachan , Manzil Zaheer , Ruslan Salakhutdinov

Relation classification is one of the key topics in information extraction, which can be used to construct knowledge bases or to provide useful information for question answering. Current approaches for relation classification are mainly…

Computation and Language · Computer Science 2020-10-20 Abdullatif Köksal , Arzucan Özgür

Relation extraction is a critical task in the field of natural language processing with numerous real-world applications. Existing research primarily focuses on monolingual relation extraction or cross-lingual enhancement for relation…

Artificial Intelligence · Computer Science 2024-03-26 Lingxing Kong , Yougang Chu , Zheng Ma , Jianbing Zhang , Liang He , Jiajun Chen

Large language models (LLMs) have reached human-like proficiency in generating diverse textual content, underscoring the necessity for effective fake text detection to avoid potential risks such as fake news in social media. Previous…

Machine Learning · Computer Science 2024-03-21 Zhixin Lai , Xuesheng Zhang , Suiyao Chen