---
title: "Who cites Smaller, Weaker, Yet Better: Training LLM…"
description: "25 papers of the Elamur Research library cite «Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/bansal-2024-smaller-weaker-yet-better-training/cited-by/"
---
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# Who cites «Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling»

25 papers of our library cite it (of the 140,884 whose bibliographies we read) · 2 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/bansal-2024-smaller-weaker-yet-better-training/)

1. [**Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models**Qiguang Chen, Libo Qin, Jinhao Liu, et al.*2025 · 174 citations*](https://md.research.elamur.ai/free/en/papers/chen-2025-towards-reasoning-era-survey-long/)
2. [**When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM Reasoning**Nishad Singhi, Hritik Bansal, Arian Hosseini, et al.*2025 · 12 citations*](https://md.research.elamur.ai/free/en/papers/singhi-2025-solve-verify-compute-optimal-problem/)

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

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