---
title: "Who cites Confidence Should Be Calibrated — 3 citing papers"
description: "3 papers of the Elamur Research library cite «Confidence Should Be Calibrated More Than One Turn Deep», found in their bibliographies; the…"
canonical: "https://research.elamur.ai/free/en/papers/zhang-2026-confidence-should-be-calibrated-more/cited-by/"
---
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# Who cites «Confidence Should Be Calibrated More Than One Turn Deep»

3 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «Confidence Should Be Calibrated More Than One Turn Deep»](https://md.research.elamur.ai/free/en/papers/zhang-2026-confidence-should-be-calibrated-more/)

1. **[BlindGuard: Safeguarding LLM-based Multi-Agent Systems under Unknown Attacks](https://md.research.elamur.ai/free/en/papers/miao-2026-blindguard-safeguarding-llm-based-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Rui Miao, Yixin Liu, Yili Wang, et al.*2026 · 10 citations*
2. **[Confidence Estimation for LLMs in Multi-turn Interactions](https://md.research.elamur.ai/free/en/papers/zhang-2026-confidence-estimation-llms-multi-turn/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Caiqi Zhang, Ruihan Yang, Xiaochen Zhu, et al.*2026 · 7 citations*
3. **[NovBench: Evaluating Large Language Models on Academic Paper Novelty Assessment](https://md.research.elamur.ai/free/en/papers/wu-2026-novbench-evaluating-large-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenqing Wu, Yi Zhao, Yuzhuo Wang, et al.*2026 · 4 citations*
- [← back to](https://md.research.elamur.ai/free/en/papers/zhang-2026-confidence-should-be-calibrated-more/) — Confidence Should Be Calibrated More Than One Turn Deep