---
title: "Who cites A Survey of Post-Training Scaling — 10 citing papers"
description: "10 papers of the Elamur Research library cite «A Survey of Post-Training Scaling in Large Language Models», found in their bibliographies…"
canonical: "https://research.elamur.ai/free/en/papers/lai-2025-survey-post-training-scaling-large/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/lai-2025-survey-post-training-scaling-large/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [A Survey of Post-Training Scaling in Large…](https://md.research.elamur.ai/free/en/papers/lai-2025-survey-post-training-scaling-large/) / cited by

# Who cites «A Survey of Post-Training Scaling in Large Language Models»

10 papers of our library cite it (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · [← back to «A Survey of Post-Training Scaling in Large Language Models»](https://md.research.elamur.ai/free/en/papers/lai-2025-survey-post-training-scaling-large/)

1. [**Kimi Linear: An Expressive, Efficient Attention Architecture arXiv:2510.26692**Kimi Team, Yu Zhang, Zongyu Lin, et al.*2025 · 51 citations*](https://md.research.elamur.ai/free/en/papers/kimi-team-2025-kimi-linear-expressive-efficient/)
2. **[A Survey of Inductive Reasoning for Large Language Models](https://md.research.elamur.ai/free/en/papers/chen-2026-survey-inductive-reasoning-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kedi Chen, Dezhao Ruan, Yuhao Dan, et al.*2026 · 10 citations*
3. **[LaCo: Layer-wise Compensation for Pruned Large Language Models](https://md.research.elamur.ai/free/en/papers/liu-2026-laco-layer-wise-compensation-pruned/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yingen Liu, Fan Wu, Panxuyan, et al.*2026*
4. **[MDC-Bench: A Multidisciplinary Causal Benchmark Based on Causal Structures for Evaluating Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-mdc-bench-multidisciplinary-causal-benchmark/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Peng Wang, Yuxiong Yan, Xiao Ding, et al.*2026*
5. **[NegNLI-BR: A Brazilian Portuguese Benchmark for Negation in Natural Language Inference](https://md.research.elamur.ai/free/en/papers/westhelle-2026-negnli-br-brazilian-portuguese-benchmark/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Matheus Westhelle, Viviane Moreira*2026*

5 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/lai-2025-survey-post-training-scaling-large/) — A Survey of Post-Training Scaling in Large Language Models