activity
20242026
most citedEXAONE 3.5: Series of Large Language Models for Real-world Use Cases

3 citations · 6 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2026

K-EXAONE 2.0 Technical Report

Eunbi Choi, Kibong Choi, Sehyun Chun +74

This technical report presents K-EXAONE 2.0, an open-weight multilingual foundation model developed by LG AI Research as a step in our effort toward global frontier-scale foundatio…

cs.CL2026

K-EXAONE Technical Report

Eunbi Choi, Kibong Choi, Seokhee Hong +62

This technical report presents K-EXAONE, a large-scale multilingual language model developed by LG AI Research. K-EXAONE is built on a Mixture-of-Experts architecture with 236B tot…

cs.CL2025

EXAONE 4.0: Unified Large Language Models Integrating Non-reasoning and Reasoning Modes

Kyunghoon Bae, Eunbi Choi, Kibong Choi +37

This technical report introduces EXAONE 4.0, which integrates a Non-reasoning mode and a Reasoning mode to achieve both the excellent usability of EXAONE 3.5 and the advanced reaso…

cs.CL2025

EXAONE Deep: Reasoning Enhanced Language Models

Kyunghoon Bae, Eunbi Choi, Kibong Choi +28

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-sp…

cs.CL2024★ 3 cited

EXAONE 3.5: Series of Large Language Models for Real-world Use Cases

Soyoung An, Kyunghoon Bae, Eunbi Choi +29

This technical report introduces the EXAONE 3.5 instruction-tuned language models, developed and released by LG AI Research. The EXAONE 3.5 language models are offered in three con…

cs.CL2024★ 2 cited

EXAONE 3.0 7.8B Instruction Tuned Language Model

Soyoung An, Kyunghoon Bae, Eunbi Choi +34

We introduce EXAONE 3.0 instruction-tuned language model, the first open model in the family of Large Language Models (LLMs) developed by LG AI Research. Among different model size…

cs.AI2024★ 1 cited

SyncVSR: Data-Efficient Visual Speech Recognition with End-to-End Crossmodal Audio Token Synchronization

Young Jin Ahn, Jungwoo Park, Sangha Park +2

Visual Speech Recognition (VSR) stands at the intersection of computer vision and speech recognition, aiming to interpret spoken content from visual cues. A prominent challenge in…