From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch | Paper Citation Record

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This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch GPT-4 Technical Report

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch LLaMA: Open and Efficient Foundation Language Models

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Advances in neural information processing systems , volume=

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Advances in neural information processing systems , volume=

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Telecommunications policy , volume=

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Government information quarterly , volume=

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch European Journal of Social Security , volume=

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Transactions on Machine Learning Research , year=

Reference 12

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch GEITje: een groot open Nederlands taalmodel , shorttitle =

Reference 13

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Proceedings of the 57th annual meeting of the association for computational linguistics , pages=

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Proceedings of the 2024 ACM conference on fairness, accountability, and transparency , pages=

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Quantifying the Carbon Emissions of Machine Learning

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch BERTje: A Dutch BERT Model

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Findings of the association for computational linguistics: EMNLP 2020 , pages=

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Encoder vs Decoder: Comparative Analysis of Encoder and Decoder Language Models on Multilingual NLU Tasks

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Unresolved cited work

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch 2025 , month =

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch 2025 , month =

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Low-Resource Languages Jailbreak GPT-4

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Pending submission

Reference 24

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Advances in Neural Information Processing Systems , volume=

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch BeHonest: Benchmarking Honesty in Large Language Models

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch The political ideology of conversational AI: Converging evidence on ChatGPT's pro-environmental, left-libertarian orientation

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch PloS one , volume=

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society , year=

Reference 29

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch arXiv preprint arXiv:2601.08785 , year=

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch tinyBenchmarks: evaluating LLMs with fewer examples

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations , pages=

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Proceedings of the 2020 conference on empirical methods in natural language processing (EMNLP) , pages=

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing-Natural Language Processing in the Generative AI Era , pages=

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Unresolved cited work

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Proceedings of the 60th annual meeting of the association for computational linguistics (volume 1: long papers) , pages=

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Findings of the Association for Computational Linguistics: ACL 2022 , pages=

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Measuring Massive Multitask Language Understanding

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch MBBQ: A Dataset for Cross-Lingual Comparison of Stereotypes in Generative LLMs

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Proceedings of the 2023 conference on empirical methods in natural language processing , pages=

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Proceedings of the 2024 joint international conference on computational linguistics, language resources and evaluation (lrec-coling 2024) , pages=

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Online:< https://ticclops

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch CLARIN Annual Conference Proceedings , pages=

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Proceedings of the 2018 conference on empirical methods in natural language processing , pages=

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Advances in neural information processing systems , volume=

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Proceedings of the ACM SIGOPS 29th Symposium on Operating Systems Principles , year=

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Proceedings of the 2020 conference on empirical methods in natural language processing: system demonstrations , pages=

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs

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Reference 57

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Observation cb027bac-a55e-4b95-8d86-4ca64af88f0f · outbound

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch The Llama 3 Herd of Models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-11T04:15:50.342633Z

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Unavailable: canonical work link unavailable.

Observation bfe618a2-7533-46e0-b512-b01a24e50f98 · outbound

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Unresolved cited work

Reference 59

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch 2024 , howpublished=

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:16:02.527003Z

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch 2 OLMo 2 Furious

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-11T04:15:50.358479Z

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Unavailable: canonical work link unavailable.

Observation 02edb9c6-4ff4-4f7a-a5b8-de7c709bc20d · outbound

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch EuroLLM-9B: Technical Report

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-11T04:15:50.364012Z

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Unavailable: canonical work link unavailable.

Observation dac371bc-fc64-4bfd-a08d-6084ed57bbc0 · outbound

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch arXiv preprint arXiv:2602.05879 , year=

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-11T04:15:50.369439Z

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Reference 64

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Observation 8236270b-b58e-477d-877d-5b42023292a8 · outbound

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch 2025 , url=

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:16:02.496409Z

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Observation 2acd2b7d-ab6c-4841-b46f-8803bca34fb3 · outbound

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Command A: An Enterprise-Ready Large Language Model

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-11T04:15:50.385072Z

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Observation ecc94888-2081-43de-9c54-c6e32addc108 · outbound

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Unresolved cited work

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-11T04:15:50.390479Z

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Unavailable: canonical work link unavailable.

Observation c4d93b42-8172-4092-b9bb-06e0a4700c80 · outbound

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch gpt-oss-120b & gpt-oss-20b Model Card

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-11T04:15:50.396377Z

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Unavailable: canonical work link unavailable.

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch 2025 , howpublished=

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-11T04:15:50.401799Z

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Unavailable: canonical work link unavailable.

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch 2025 , howpublished=

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-11T04:15:50.406896Z

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Unavailable: canonical work link unavailable.

Observation 98241807-20de-4cd2-a17b-2b23e877d382 · outbound

This paper cites Aya Expanse: Combining Research Breakthroughs for a New Multilingual Frontier.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Aya Expanse: Combining Research Breakthroughs for a New Multilingual Frontier

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-11T04:15:50.413131Z

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Unavailable: canonical work link unavailable.

Observation a5633684-2cb3-4ad7-9de8-c95be94372ae · outbound

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Unresolved cited work

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-11T04:15:50.419053Z

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Unavailable: canonical work link unavailable.

Observation 5c0c811d-1fbb-4654-a570-53fb0d7a5eb7 · outbound

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Unresolved cited work

Reference 73

Resolution: parse uncertain; raw_fallback, observed 2026-08-11T04:16:02.430512Z

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Observation 2d4087b1-7719-4aea-baff-0ccca8af4c13 · outbound

This paper cites Fietje: An open, efficient LLM for Dutch.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Fietje: An open, efficient LLM for Dutch

Reference 74

Resolution: metadata mismatch; local_arxiv, observed 2026-08-11T04:15:56.822815Z

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Observation c40d13b9-5766-4a84-a933-6f54a0eb9816 · outbound

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch arXiv preprint arXiv:2509.14233 , year=

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-11T04:15:50.439160Z

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Unavailable: canonical work link unavailable.

Observation 4571ed11-2ed4-45dd-b8ca-2f5beb5ba3ff · outbound

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Unresolved cited work

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-11T04:15:50.447180Z

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Unavailable: canonical work link unavailable.

Observation a7d1ec94-7eec-487b-a947-cbd86302aab4 · outbound

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch , author=

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:16:02.399928Z

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Coverage vector

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Pith citing papers