---
title: "Who cites A Gentle Introduction to — 52 citing papers"
description: "52 papers of the Elamur Research library cite «A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty…"
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# Who cites «A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification»

52 papers of our library cite it (of the 149,439 whose bibliographies we read) · 8 with a page here, the most cited first · [← back to «A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification»](https://md.research.elamur.ai/free/en/papers/angelopoulos-2021-gentle-introduction-conformal-prediction-distribution/)

1. **[Tomayto, Tomahto. Beyond Token-level Answer Equivalence for Question Answering Evaluation](https://md.research.elamur.ai/free/en/papers/bulian-2022-tomayto-tomahto-beyond-token-level/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jannis Bulian, Christian Buck, Wojciech Gajewski, et al.*2022 · 100 citations*
2. **[Quantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness](https://md.research.elamur.ai/free/en/papers/chen-2024-quantifying-uncertainty-answers-any-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiuhai Chen, Jonas Mueller*2024 · 72 citations*
3. **[Knowing When to Abstain: Medical LLMs Under Clinical Uncertainty](https://md.research.elamur.ai/free/en/papers/machcha-2026-knowing-when-abstain-medical-llms/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Sravanthi Machcha, Sushrita Yerra, Sahil Gupta, et al.*2026 · 9 citations*
4. **[Robust Uncertainty Quantification for Self-Evolving Large Language Models via Continual Domain Pretraining](https://md.research.elamur.ai/free/en/papers/zhou-2026-robust-uncertainty-quantification-self-evolving/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiaofan Zhou, Lu Cheng*2026 · 2 citations*
5. **[Rubric-Guided Fine-tuning of SpeechLLMs for Multi-Aspect, Multi-Rater L2 Reading-Speech Assessment](https://md.research.elamur.ai/free/en/papers/parikh-2026-rubric-guided-fine-tuning-speechllms/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Aditya Kamlesh Parikh, Cristian Tejedor-García, Catia Cucchiarini, et al.*2026 · 1 citation*
6. **[LiveCultureBench: a Multi-Agent, Multi-Cultural Benchmark for Large Language Models in Dynamic Social Simulations](https://md.research.elamur.ai/free/en/papers/pham-2026-liveculturebench-multi-agent-multi-cultural/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Viet Thanh Pham, Lizhen Qu, Thuy-Trang Vu, et al.*2026*
7. **[Risk-Controlled Event-Driven Cascading Updates for Knowledge Graph Consistency Restoration](https://md.research.elamur.ai/free/en/papers/ni-2026-risk-controlled-event-driven-cascading/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Bo Ni, Qinwen Ge, Haowei Fu, et al.*2026*
8. **[Uncertainty-Aware Multi-Label Routing of Clinical Text to Surveillance Pathways](https://md.research.elamur.ai/free/en/papers/zecevic-2026-uncertainty-aware-multi-label-routing/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Agathe Zecevic, Sebastian Zeki, Angus Roberts*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/angelopoulos-2021-gentle-introduction-conformal-prediction-distribution/) — A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification