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EXAONE Deep: Reasoning Enhanced Language Models

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Bae, Kyunghoon, Choi, Eunbi, Choi, Kibong, Choi, Stanley Jungkyu, Choi, Yemuk, Hong, Seokhee, Hwang, Junwon, Jeon, Hyojin, Jeon, Kijeong, Jo, Gerrard Jeongwon, Jo, Hyunjik, Jung, Jiyeon, Kim, Hyosang, Kim, Joonkee, Kim, Seonghwan, Kim, Soyeon, Kim, Sunkyoung, Kim, Yireun, Kim, Yongil, Kim, Youchul, Lee, Edward Hwayoung, Lee, Haeju, Lee, Honglak, Lee, Jinsik, Lee, Kyungmin, Park, Sangha, Park, Yongmin, Yang, Sihoon, Yeen, Heuiyeen, Yi, Sihyuk, Yun, Hyeongu
Formato:	Preprint
Publicado:	2025
Materias:	Computation and Language Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

_version_	1866912798767841280
author	Bae, Kyunghoon Choi, Eunbi Choi, Kibong Choi, Stanley Jungkyu Choi, Yemuk Hong, Seokhee Hwang, Junwon Jeon, Hyojin Jeon, Kijeong Jo, Gerrard Jeongwon Jo, Hyunjik Jung, Jiyeon Kim, Hyosang Kim, Joonkee Kim, Seonghwan Kim, Soyeon Kim, Sunkyoung Kim, Yireun Kim, Yongil Kim, Youchul Lee, Edward Hwayoung Lee, Haeju Lee, Honglak Lee, Jinsik Lee, Kyungmin Park, Sangha Park, Yongmin Yang, Sihoon Yeen, Heuiyeen Yi, Sihyuk Yun, Hyeongu
author_facet	Bae, Kyunghoon Choi, Eunbi Choi, Kibong Choi, Stanley Jungkyu Choi, Yemuk Hong, Seokhee Hwang, Junwon Jeon, Hyojin Jeon, Kijeong Jo, Gerrard Jeongwon Jo, Hyunjik Jung, Jiyeon Kim, Hyosang Kim, Joonkee Kim, Seonghwan Kim, Soyeon Kim, Sunkyoung Kim, Yireun Kim, Yongil Kim, Youchul Lee, Edward Hwayoung Lee, Haeju Lee, Honglak Lee, Jinsik Lee, Kyungmin Park, Sangha Park, Yongmin Yang, Sihoon Yeen, Heuiyeen Yi, Sihyuk Yun, Hyeongu
contents	We present EXAONE Deep series, which exhibits superior capabilities in various reasoning tasks, including math and coding benchmarks. We train our models mainly on the reasoning-specialized dataset that incorporates long streams of thought processes. Evaluation results show that our smaller models, EXAONE Deep 2.4B and 7.8B, outperform other models of comparable size, while the largest model, EXAONE Deep 32B, demonstrates competitive performance against leading open-weight models. All EXAONE Deep models are openly available for research purposes and can be downloaded from https://huggingface.co/LGAI-EXAONE.
format	Preprint
id	arxiv_https___arxiv_org_abs_2503_12524
institution	arXiv
publishDate	2025
record_format	arxiv
spellingShingle	EXAONE Deep: Reasoning Enhanced Language Models Bae, Kyunghoon Choi, Eunbi Choi, Kibong Choi, Stanley Jungkyu Choi, Yemuk Hong, Seokhee Hwang, Junwon Jeon, Hyojin Jeon, Kijeong Jo, Gerrard Jeongwon Jo, Hyunjik Jung, Jiyeon Kim, Hyosang Kim, Joonkee Kim, Seonghwan Kim, Soyeon Kim, Sunkyoung Kim, Yireun Kim, Yongil Kim, Youchul Lee, Edward Hwayoung Lee, Haeju Lee, Honglak Lee, Jinsik Lee, Kyungmin Park, Sangha Park, Yongmin Yang, Sihoon Yeen, Heuiyeen Yi, Sihyuk Yun, Hyeongu Computation and Language Artificial Intelligence We present EXAONE Deep series, which exhibits superior capabilities in various reasoning tasks, including math and coding benchmarks. We train our models mainly on the reasoning-specialized dataset that incorporates long streams of thought processes. Evaluation results show that our smaller models, EXAONE Deep 2.4B and 7.8B, outperform other models of comparable size, while the largest model, EXAONE Deep 32B, demonstrates competitive performance against leading open-weight models. All EXAONE Deep models are openly available for research purposes and can be downloaded from https://huggingface.co/LGAI-EXAONE.
title	EXAONE Deep: Reasoning Enhanced Language Models
topic	Computation and Language Artificial Intelligence
url	https://arxiv.org/abs/2503.12524