---
title: "Who cites Can Many-Shot In-Context — 9 citing papers"
description: "9 papers of the Elamur Research library cite «Can Many-Shot In-Context Learning Help LLMs as Evaluators? A Preliminary Empirical Study»…"
canonical: "https://research.elamur.ai/free/en/papers/song-2025-can-many-shot-context-learning/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/song-2025-can-many-shot-context-learning/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Can Many-Shot In-Context Learning Help LLMs as…](https://md.research.elamur.ai/free/en/papers/song-2025-can-many-shot-context-learning/) / cited by

# Who cites «Can Many-Shot In-Context Learning Help LLMs as Evaluators? A Preliminary Empirical Study»

9 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «Can Many-Shot In-Context Learning Help LLMs as Evaluators? A Preliminary Empirical Study»](https://md.research.elamur.ai/free/en/papers/song-2025-can-many-shot-context-learning/)

1. [**Hunyuan-MT Technical Report arXiv:2509.05209**Mao Zheng, Zheng Li, Bingxin Qu, et al.*2025 · 17 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2025-hunyuan-mt-technical-report/)
2. **[Scaling Performance and Low-Resource Annotation with Many-Shot In-Context Learning for Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/zhang-2026-scaling-performance-low-resource-annotation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qi Zhang, Fangping Lan, Cornelia Caragea, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/song-2025-can-many-shot-context-learning/) — Can Many-Shot In-Context Learning Help LLMs as Evaluators? A Preliminary Empirical Study
