---
title: "K-NLPers at SemEval-2026 Task 7 — paper by Song et al. (2026)"
description: "The paper addresses a known weakness of LLMs. 2.8 points. 24 references, cited by 1 paper here."
authors: ["Jiwoo Song", "Sihyeong Yeom", "Harksoo Kim"]
year: 2026
venue: "Proceedings of the 20th International Workshop on Semantic Evaluation (2026)"
source: "https://aclanthology.org/2026.semeval-1.410/"
doi: "10.18653/v1/2026.semeval-1.410"
licence: "CC BY 4.0 (ACL Anthology)"
licence_url: "https://creativecommons.org/licenses/by/4.0/"
summary_licence: "Elamur Cosmic License"
canonical: "https://research.elamur.ai/free/en/papers/song-2026-k-nlpers-semeval-2026-task/"
---
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# K-NLPers at SemEval-2026 Task 7: Multiple LLM Agent Debate System for Everyday Knowledge Across Diverse Languages and Cultures

**Authors:** Jiwoo Song, Sihyeong Yeom and [Harksoo Kim](https://md.research.elamur.ai/free/en/authors/harksoo-kim/) · **Year:** 2026 · **Venue:** [Proceedings of the 20th International Workshop on Semantic Evaluation (2026)](https://md.research.elamur.ai/free/en/venues/semeval/) ([SemEval 2026](https://md.research.elamur.ai/free/en/venues/semeval/2026/)) · **Publisher:** [Association for Computational Linguistics](https://md.research.elamur.ai/free/en/publishers/association-for-computational-linguistics/) · **Licence:** [CC BY 4.0 (ACL Anthology)](https://creativecommons.org/licenses/by/4.0/)

**Links:** [Publisher's page](https://aclanthology.org/2026.semeval-1.410/) · [PDF](https://aclanthology.org/2026.semeval-1.410.pdf) · [DOI 10.18653/v1/2026.semeval-1.410](https://doi.org/10.18653/v1/2026.semeval-1.410) · [OpenAlex](https://openalex.org/W7166845422)

**Citations:** 0 citations (OpenAlex, 2026-10-14) · [1](https://md.research.elamur.ai/free/en/papers/song-2026-k-nlpers-semeval-2026-task/cited-by/) in our library, of the 149,439 papers whose bibliographies we read

## Summary
The paper addresses a known weakness of LLMs. They answer questions about everyday life unevenly across cultures, and they often favour Western or high-resource perspectives. The authors target SemEval-2026 Task 7, which extends the BLEnD benchmark to more than 30 language-country pairs in two tracks: open-ended short answers (SAQ) and multiple choice (MCQ). Their system uses no training. Several pretrained LLMs debate in three rounds:
1. Each agent answers on its own.
2. Each agent revises its answer after reading the others' outputs.
3. A judge model picks the final response.

For SAQ, the agents are chosen per locale: a general-purpose model, a model built on the target's continent, and a model from the target country or a culturally close region. For MCQ, strong general-purpose models debate instead. The system reached 55.75 on SAQ and 88.32 on MCQ, beating every single-model baseline. The gains were largest for low-resource locales. A preliminary analysis showed that grouping model performance by continent predicts strengths better than grouping by language. This suggests that cultural and historical context should guide which models are combined.

## Key points
- **SAQ setup:** Ten LLMs form the agent pool. gpt-4o-mini is always the general agent, and gemma-3-27b-it is the judge. Regional agents include Qwen2.5 for Chinese, Midm for Korean, and EuroLLM and Mistral for European languages. All runs are inference-only at temperature 0.
- **MCQ setup:** gpt-4o-mini and claude-3.5-haiku debate, and gpt-4o adjudicates. The judge is skipped when both debaters pick the same option.
- **SAQ results:** The overall score of 55.75 is about 2.8 points above gpt-4o-mini (52.97). The largest jumps came in am-ET (29.6 → 50.6) and ha-NG (29.8 → 40.8). Scores dropped in the Middle East (e.g., ar-SA 51.8 → 46.8), which the authors attribute to weak agents adding noise.
- **MCQ results:** Accuracy of 88.32 is +2.65 over gpt-4o-mini (85.67) and +4.02 over claude-3.5-haiku (84.30). Most locales improved, with small losses in some, such as am-ET and bg-BG.
- **Agent selection analysis:** The authors tested single models on 150 BLEnD samples per country, used only for analysis. Continental grouping gave more stable patterns than language grouping. Within multi-country languages such as English and Spanish, no country's models consistently came out ahead. The main stated limitation is that agent selection is static rather than dynamically routed per query.

*Our summary of the paper, in our own words — not its text. The work belongs to its authors; read it at the links above.*

## Institutions

- [Konkuk University](https://md.research.elamur.ai/free/en/universities/konkuk-university/) — University, Seoul, South Korea · 5 works · 396 citations

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## Cite

Cite as: Jiwoo Song, Sihyeong Yeom and Harksoo Kim. 2026. K-NLPers at SemEval-2026 Task 7: Multiple LLM Agent Debate System for Everyday Knowledge Across Diverse Languages and Cultures. Proceedings of the 20th International Workshop on Semantic Evaluation (2026).

The paper itself, not this page. BibTeX from the library's record of the work.

```bibtex
@inproceedings{song2026k,
  title = {{K-NLPers at SemEval-2026 Task 7: Multiple LLM Agent Debate System for Everyday Knowledge Across Diverse Languages and Cultures}},
  author = {Jiwoo Song, Sihyeong Yeom and Harksoo Kim},
  booktitle = {Proceedings of the 20th International Workshop on Semantic Evaluation (2026)},
  year = {2026},
  doi = {10.18653/v1/2026.semeval-1.410},
  url = {https://doi.org/10.18653/v1/2026.semeval-1.410}
}
```

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## References

24 references, 10 of them with a card of ours. ↗ leads to the work, «find» searches for one we have no id for yet.

1. Anthropic. 2024. The claude 3 model family: Opus, sonnet, haiku. Technical report, Anthropic. [find](https://scholar.google.com/scholar?q=Anthropic%2E+2024%2E+The+claude+3+model+family%3A+Opus%2C+sonnet%2C+haiku%2E+Technical+report%2C+Anthropic%2E)
2. Hye-Yoon Baek, Jinho Choi, Jimyeung Seo, Xiongnan Jin, Dongcheon Lee, and Byungkook Oh. 2025. Relation-faceted graph pooling with llm guidance for dynamic span-aware information extraction. In Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM ’25, pag… [find](https://scholar.google.com/scholar?q=Hye%2DYoon+Baek%2C+Jinho+Choi%2C+Jimyeung+Seo%2C+Xiongnan+Jin%2C+Dongcheon+Lee%2C+and+Byungkook+Oh%2E+2025%2E+Relation%2Dfaceted+graph+pooling+with+llm+guidance+for+dynamic+span%2Daware+information+extraction%2E+In+Proceed)
3. Andrew Estornell and Yang Liu. 2024. Multi-llm debate: Framework, principals, and interventions. In Advances in Neural Information Processing Systems, volume 37, pages 28938–28964. Curran Associates, Inc. [find](https://scholar.google.com/scholar?q=Andrew+Estornell+and+Yang+Liu%2E+2024%2E+Multi%2Dllm+debate%3A+Framework%2C+principals%2C+and+interventions%2E+In+Advances+in+Neural+Information+Processing+Systems%2C+volume+37%2C+pages+28938%E2%80%9328964%2E+Curran+Associates%2C+)
4. Debanjan Ghosh, Kai North, Ekaterina Kochmar, Mamoru Komachi, and Marcos Zampieri, editors. 2026. Proceedings of the 20th International Workshop on Semantic Evaluation (SemEval-2026). Association for Computational Linguistics, San Diego, United States. [find](https://scholar.google.com/scholar?q=Debanjan+Ghosh%2C+Kai+North%2C+Ekaterina+Kochmar%2C+Mamoru+Komachi%2C+and+Marcos+Zampieri%2C+editors%2E+2026%2E+Proceedings+of+the+20th+International+Workshop+on+Semantic+Evaluation+%28SemEval%2D2026%29%2E+Association+for+)
5. Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, Ahmad Al-Dahle, Aiesha Letman, Akhil Mathur, Alan Schelten, Alex Vaughan, Amy Yang, Angela Fan, Anirudh Goyal, Anthony Hartshorn, Aobo Yang, Archi Mitra, Archie Sravankumar, Artem Korenev, Arthur Hinsvark, and 542 o… — [The Llama 3 Herd of Models](https://md.research.elamur.ai/free/en/papers/grattafiori-2024-llama-3-herd-models/)
6. Ryosuke Ishigami. 2024. instruct-2408. [find](https://scholar.google.com/scholar?q=Ryosuke+Ishigami%2E+2024%2E+instruct%2D2408%2E)
7. Mistral-nemo-japanese-Albert Q. Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, Lélio Renard Lavaud, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas W… [find](https://scholar.google.com/scholar?q=Mistral%2Dnemo%2Djapanese%2DAlbert+Q%2E+Jiang%2C+Alexandre+Sablayrolles%2C+Arthur+Mensch%2C+Chris+Bamford%2C+Devendra+Singh+Chaplot%2C+Diego+de+las+Casas%2C+Florian+Bressand%2C+Gianna+Lengyel%2C+Guillaume+Lample%2C+Lucile+Saul)
8. Jiho Jin, Jiseon Kim, Nayeon Lee, Haneul Yoo, Alice Oh, and Hwaran Lee. 2024. [KoBBQ: Korean bias benchmark for question answering](https://md.research.elamur.ai/free/en/papers/jin-2024-kobbq-korean-bias-benchmark-question/). Transactions of the Association for Computational Linguistics, 12:507–524.
9. Dayeon Ki, Rachel Rudinger, Tianyi Zhou, and Marine Carpuat. 2025. [Multiple LLM agents debate for equitable cultural alignment](https://md.research.elamur.ai/free/en/papers/ki-2025-multiple-llm-agents-debate-equitable/). In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 24841–24877, Vienna, Austria. Association for Comp…
10. Woojin Lee, Yujin Sim, Hongjin Kim, and Harksoo Kim. 2025. Multilingual, not multicultural: Uncovering the cultural empathy gap in LLMs through a comparative empathetic dialogue benchmark. In Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference… [find](https://scholar.google.com/scholar?q=Woojin+Lee%2C+Yujin+Sim%2C+Hongjin+Kim%2C+and+Harksoo+Kim%2E+2025%2E+Multilingual%2C+not+multicultural%3A+Uncovering+the+cultural+empathy+gap+in+LLMs+through+a+comparative+empathetic+dialogue+benchmark%2E+In+Proceedi)
11. Ao Li, Yuexiang Xie, Songze Li, Fugee Tsung, Bolin Ding, and Yaliang Li. 2025. Agent-oriented planning in multi-agent systems. In The Thirteenth International Conference on Learning Representations. [find](https://scholar.google.com/scholar?q=Ao+Li%2C+Yuexiang+Xie%2C+Songze+Li%2C+Fugee+Tsung%2C+Bolin+Ding%2C+and+Yaliang+Li%2E+2025%2E+Agent%2Doriented+planning+in+multi%2Dagent+systems%2E+In+The+Thirteenth+International+Conference+on+Learning+Representations%2E)
12. Tian Liang, Zhiwei He, Wenxiang Jiao, Xing Wang, Yan Wang, Rui Wang, Yujiu Yang, Shuming Shi, and Zhaopeng Tu. 2024. [Encouraging divergent thinking in large language models through multi-agent debate](https://md.research.elamur.ai/free/en/papers/liang-2023-encouraging-divergent-thinking-large-language/). In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 17…
13. Junho Myung, Nayeon Lee, Yi Zhou, Jiho Jin, Rifki Putri, Dimosthenis Antypas, Hsuvas Borkakoty, Eunsu Kim, Carla Perez-Almendros, Abinew Ali Ayele, and 1 others. 2024. [Blend: A benchmark for llms on everyday knowledge in diverse cultures and languages](https://md.research.elamur.ai/free/en/papers/myung-2024-blend-benchmark-llms-everyday-knowledge/). Advances in Neural Information Processing Syste…
14. OpenAI, :, Aaron Hurst, Adam Lerer, Adam P. Goucher, Adam Perelman, Aditya Ramesh, Aidan Clark, AJ Ostrow, Akila Welihinda, Alan Hayes, Alec Radford, Aleksander M adry, Alex Baker-Whitcomb, Alex Beutel, Alex Borzunov, Alex Carney, Alex Chow, Alex Kirillov, and 401 others. 2024. [Gpt-4o system card](https://md.research.elamur.ai/free/en/papers/openai-2024-gpt-4o-system-card/).…
15. OpenAI. 2024. Gpt-4o mini: advancing cost-efficient intelligence. [find](https://scholar.google.com/scholar?q=OpenAI%2E+2024%2E+Gpt%2D4o+mini%3A+advancing+cost%2Defficient+intelligence%2E)
16. Nedjma Ousidhoum, Junho Myung, Carla Perez-Almendros, Jiho Jin, Amr Keleg, Meriem Beloucif, Yi Zhou, Rodrigo Agerri, Vladimir Araujo, Naomi Baes, James Barry, Joanne Boisson, Nancy F. Chen, Christine de Kock, Aleksandra Edwards, Joseba Fernandez de Landa, Mohamed Fazli Imam, Huda Hakami, Shu-Kai Hsi… — [SemEval-2026 Task 7: Everyday Knowledge Across Diverse Languages and Cultures](https://md.research.elamur.ai/free/en/papers/ousidhoum-2026-semeval-2026-task-7-everyday/)
17. Miguel Moura Ramos, Duarte M. Alves, Hippolyte Gisserot-Boukhlef, João Alves, Pedro Henrique Martins, Patrick Fernandes, José Pombal, Nuno M. Guerreiro, Ricardo Rei, Nicolas Boizard, Amin Farajian, Mateusz Klimaszewski, José G. C. de Souza, Barry Haddow, François Yvon, Pierre Colombo, Alexandra Birc… — [arXiv:2602.05879](https://arxiv.org/abs/2602.05879) [find](https://scholar.google.com/scholar?q=Miguel+Moura+Ramos%2C+Duarte+M%2E+Alves%2C+Hippolyte+Gisserot%2DBoukhlef%2C+Jo%C3%A3o+Alves%2C+Pedro+Henrique+Martins%2C+Patrick+Fernandes%2C+Jos%C3%A9+Pombal%2C+Nuno+M%2E+Guerreiro%2C+Ricardo+Rei%2C+Nicolas+Boizard%2C+Amin+Farajian%2C+Ma)
18. Donghoon Shin, Sejung Lee, Soonmin Bae, Hwijung Ryu, Changwon Ok, Hoyoun Jung, Hyesung Ji, Jeehyun Lim, Jehoon Lee, Ji-Eun Han, Jisoo Baik, Mihyeon Kim, Riwoo Chung, Seongmin Lee, Wonjae Park, Yoonseok Heo, Youngkyung Seo, Seyoun Won, Boeun Kim, and 47 others. 2026. Mi:dm 2.0 korea-centric bilingual… — [arXiv:2601.09066](https://arxiv.org/abs/2601.09066) [find](https://scholar.google.com/scholar?q=Donghoon+Shin%2C+Sejung+Lee%2C+Soonmin+Bae%2C+Hwijung+Ryu%2C+Changwon+Ok%2C+Hoyoun+Jung%2C+Hyesung+Ji%2C+Jeehyun+Lim%2C+Jehoon+Lee%2C+Ji%2DEun+Han%2C+Jisoo+Baik%2C+Mihyeon+Kim%2C+Riwoo+Chung%2C+Seongmin+Lee%2C+Wonjae+Park%2C+Yoonseo)
19. AI Singapore. 2024. [Sea-lion (southeast asian languages in one network): A family of large language models for southeast asia](https://md.research.elamur.ai/free/en/papers/ng-2025-sea-lion-southeast-asian-languages/). [https://github.com/](https://github.com/) aisingapore/sealion. [↗](https://github.com/)
20. Falcon-LLM Team. 2024a. The falcon 3 family of open models. [find](https://scholar.google.com/scholar?q=Falcon%2DLLM+Team%2E+2024a%2E+The+falcon+3+family+of+open+models%2E)
21. Gemma Team, Aishwarya Kamath, Johan Ferret, Shreya Pathak, Nino Vieillard, Ramona Merhej, Sarah Perrin, Tatiana Matejovicova, Alexandre Ramé, Morgane Rivière, Louis Rouillard, Thomas Mesnard, Geoffrey Cideron, Jean bastien Grill, Sabela Ramos, Edouard Yvinec, Michelle Casbon, Etienne Pot, Ivo Penche… [find](https://scholar.google.com/scholar?q=Gemma+Team%2C+Aishwarya+Kamath%2C+Johan+Ferret%2C+Shreya+Pathak%2C+Nino+Vieillard%2C+Ramona+Merhej%2C+Sarah+Perrin%2C+Tatiana+Matejovicova%2C+Alexandre+Ram%C3%A9%2C+Morgane+Rivi%C3%A8re%2C+Louis+Rouillard%2C+Thomas+Mesnard%2C+Geoffrey)
22. Qwen Team. 2024b. Qwen2.5: A party of foundation models. [find](https://scholar.google.com/scholar?q=Qwen+Team%2E+2024b%2E+Qwen2%2E5%3A+A+party+of+foundation+models%2E)
23. Yanwei Yue, Guibin Zhang, Boyang Liu, Guancheng Wan, Kun Wang, Dawei Cheng, and Yiyan Qi. 2025. [MasRouter: Learning to route LLMs for multi-agent systems](https://md.research.elamur.ai/free/en/papers/yue-2025-masrouter-learning-route-llms-multi/). In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 15549–15572, Vienna, Au…
24. Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, Yifan Du, Chen Yang, Yushuo Chen, Zhipeng Chen, Jinhao Jiang, Ruiyang Ren, Yifan Li, Xinyu Tang, Zikang Liu, and 3 others. 2026. [A survey of large language models](https://md.research.elamur.ai/free/en/papers/zhao-2023-survey-large-language-models/). Prepri…

*Updated 31 October 2026*