mlsanityData to 7 Oct 2026

EXAONE 3.0 7.8B Instruction Tuned Language Model

arXiv 2408.03541 ↗First posted 7 Aug 2024cs.CL cs.AIcited by 20

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Abstract (arXiv)

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 sizes, we publicly release the 7.8B instruction-tuned model to promote open research and innovations. Through extensive evaluations across a wide range of public and in-house benchmarks, EXAONE 3.0 demonstrates highly competitive real-world performance with instruction-following capability against other state-of-the-art open models of similar size. Our comparative analysis shows that EXAONE 3.0 excels particularly in Korean, while achieving compelling performance across general tasks and complex reasoning. With its strong real-world effectiveness and bilingual proficiency, we hope that EXAONE keeps contributing to advancements in Expert AI. Our EXAONE 3.0 instruction-tuned model is available at https://huggingface.co/LGAI-EXAONE/EXAONE-3.0-7.8B-Instruct.

Key facts. Cited by 20 papers in the map (data through 7 Oct 2026). Builds on 19 of its 29 references that are in the map. First posted on arXiv 7 Aug 2024.

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19 of 29 references.

References · 19

  1. 2021Training Verifiers to Solve Math Word Problemscited by 9,743
  2. 2023Judging LLM-as-a-Judge with MT-Bench and Chatbot Arenacited by 8,393
  3. 2021Evaluating Large Language Models Trained on Codecited by 8,053
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  1. 2021Ethical and social risks of harm from Language Modelscited by 957
  2. 2024Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluatorscited by 865
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  4. 2023The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variantscited by 300
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 4; 2025: 13; 2026: 3.

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  1. 2024EXAONE 3.5: Series of Large Language Models for Real-world Use Casescited by 50
  2. 2024LLM-as-a-Judge & Reward Model: What They Can and Cannot Docited by 32
  3. 2025EXAONE 4.0: Unified Large Language Models Integrating Non-reasoning and Reasoning Modescited by 26
  4. 2025Multiple LLM Agents Debate for Equitable Cultural Alignmentcited by 20
  5. 2025InfiniteHiP: Extending Language Model Context Up to 3 Million Tokens on a Single GPUcited by 7
  6. 2024VARCO-VISION: Expanding Frontiers in Korean Vision-Language Modelscited by 6
  7. 2025Nunchi-Bench: Benchmarking Language Models on Cultural Reasoning with a Focus on Korean Superstitioncited by 6
  8. 2025LRAGE: Legal Retrieval Augmented Generation Evaluation Toolcited by 5
  9. 2024Developing a Pragmatic Benchmark for Assessing Korean Legal Language Understanding in Large Language Modelscited by 4
  10. 2025Trillion 7B Technical Reportcited by 4
  11. 2025Taxation Perspectives from Large Language Models: A Case Study on Additional Tax Penaltiescited by 3
  12. 2026Mi:dm 2.0 Korea-centric Bilingual Language Modelscited by 3
8 more
  1. 2025Evaluating Multimodal Generative AI with Korean Educational Standardscited by 2
  2. 2025Accurate Sublayer Pruning for Large Language Models by Exploiting Latency and Tunability Informationcited by 2
  3. 2025Expanding Foundational Language Capabilities in Open-Source LLMs through a Korean Case Studycited by 2
  4. 2025Assessing Socio-Cultural Alignment and Technical Safety of Sovereign LLMscited by 2
  5. 2026Korean Culture into LLM Alignment: Toward Cultural Coherencecited by 1
  6. 2025Theme-Explanation Structure for Table Summarization using Large Language Models: A Case Study on Korean Tabular Datacited by 0
  7. 2025SHREC 2025: Retrieval of Optimal Objects for Multi-modal Enhanced Language and Spatial Assistance (ROOMELSA)cited by 0
  8. 2026Ko-WideSearch: A Korean Breadth-Search Benchmark for Exhaustive Set Enumeration by Web Agentscited by 0