u, et al.
Kimi-Audio technical report, 2025.
URL https://arxiv.org/abs/2504.18425.
Kimi Team et al. (2026)
Kimi Team, Tongtong Bai, Yifan Bai, Yiping Bao, S. H. Cai, Yuan Cao, Ziwei
Chai, Y. Charles, H. S. Che, Cheng Chen, Guanduo Chen, Huarong Chen, Jia
Chen, Jianlong Chen, Jun Chen, et al.
Kimi K2.5: Visual agentic intelligence, 2026.
URL https://arxiv.org/abs/2602.02276.
Kirk et al. (2024)
Hannah Rose Kirk, Alexander Whitefield, Paul Röttger, Andrew Bean, Katerina
Margatina, Juan Ciro, Rafael Mosquera, Max Bartolo, Adina Williams, He He,
Bertie Vidgen, and Scott Hale.
The PRISM alignment dataset: What participatory, representative and
individualised human feedback reveals about the subjective and multicultural
alignment of large language models.
In Advances in Neural Information Processing Systems (NeurIPS),
Datasets and Benchmarks Track, pp. 105236–105344, 2024.
doi: 10.52202/079017-3342.
URL
https://proceedings.neurips.cc/paper_files/paper/2024/hash/be2e1b68b44f2419e19f6c35a1b8cf35-Abstract-Datasets_and_Benchmarks_Track.html.
Kocmi et al. (2024)
Tom Kocmi, Eleftherios Avramidis, Rachel Bawden, Ondřej Bojar, Anton
Dvorkovich, Christian Federmann, Mark Fishel, Markus Freitag, Thamme Gowda,
Roman Grundkiewicz, Barry Haddow, Marzena Karpinska, Philipp Koehn, Benjamin
Marie, Christof Monz, et al.
Findings of the WMT24 general machine translation shared task: The
LLM era is here but MT is not solved yet.
In Proceedings of the Conference on Machine Translation (WMT),
pp. 1–46, 2024.
doi: 10.18653/v1/2024.wmt-1.1.
URL https://aclanthology.org/2024.wmt-1.1/.
Kocmi et al. (2025)
Tom Kocmi, Ekaterina Artemova, Eleftherios Avramidis, Rachel Bawden,
Ondřej Bojar, Konstantin Dranch, Anton Dvorkovich, Sergey Dukanov, Mark
Fishel, Markus Freitag, Thamme Gowda, Roman Grundkiewicz, Barry Haddow,
Marzena Karpinska, Philipp Koehn, et al.
Findings of the WMT25 general machine translation shared task: Time
to stop evaluating on easy test sets.
In Proceedings of the Conference on Machine Translation (WMT),
pp. 355–413, 2025.
doi: 10.18653/v1/2025.wmt-1.22.
URL https://aclanthology.org/2025.wmt-1.22/.
Köpf et al. (2023)
Andreas Köpf, Yannic Kilcher, Dimitri von Rütte, Sotiris Anagnostidis,
Zhi-Rui Tam, Keith Stevens, Abdullah Barhoum, Nguyen Minh Duc, Oliver
Stanley, Richárd Nagyfi, Shahul ES, Sameer Suri, David Glushkov, Arnav
Dantuluri, Andrew Maguire, et al.
OpenAssistant conversations – democratizing large language model
alignment.
In Advances in Neural Information Processing Systems (NeurIPS),
Datasets and Benchmarks Track, pp. 47669–47681, 2023.
doi: 10.52202/075280-2064.
URL
https://proceedings.neurips.cc/paper_files/paper/2023/hash/949f0f8f32267d297c2d4e3ee10a2e7e-Abstract-Datasets_and_Benchmarks.html.
Kreft (2026)
Raphael Kreft.
Effects of representation learning on understanding-capabilities of
unified vision-language-models: A study based on token-based vision models.
Master’s thesis, ETH Zürich, 2026.
URL https://doi.org/10.3929/ethz-c-000806425.
Kucharavy et al. (2025)
Andrei Kucharavy, Sherine Seppey, Cyril Vallez, Dimitri Percia David, and
Ljiljana Dolamic.
Low-resource languages LLM disinformation is within reach: The case
of walliserdeutsch.
In Findings of the Association for Computational Linguistics:
EMNLP, pp. 25613–25625, 2025.
doi: 10.18653/v1/2025.findings-emnlp.1396.
URL https://aclanthology.org/2025.findings-emnlp.1396/.
Kwon et al. (2023)
Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu,
Joseph E. Gonzalez, Hao Zhang, and Ion Stoica.
Efficient memory management for large language model serving with
PagedAttention.
In Proceedings of the ACM Symposium on Operating Systems
Principles (SOSP), pp. 611–626, 2023.
doi: 10.1145/3600006.3613165.
URL https://dl.acm.org/doi/10.1145/3600006.3613165.
Kydlíček (2025)
Hynek Kydlíček.
Math-Verify: Math verification library, 2025.
URL https://github.com/huggingface/math-verify.
Lambert et al. (2025)
Nathan Lambert, Jacob Morrison, Valentina Pyatkin, Shengyi