---
title: "Who cites Truncation Sampling as Language Model Desmoothing"
description: "67 papers of the Elamur Research library cite «Truncation Sampling as Language Model Desmoothing», found in their bibliographies; the…"
canonical: "https://research.elamur.ai/free/en/papers/hewitt-2022-truncation-sampling-as-language-model/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Truncation Sampling as Language Model Desmoothing](https://md.research.elamur.ai/free/en/papers/hewitt-2022-truncation-sampling-as-language-model/) / cited by

# Who cites «Truncation Sampling as Language Model Desmoothing»

67 papers of our library cite it (of the 141,840 whose bibliographies we read) · 7 with a page here, the most cited first · [← back to «Truncation Sampling as Language Model Desmoothing»](https://md.research.elamur.ai/free/en/papers/hewitt-2022-truncation-sampling-as-language-model/)

1. **[A Survey of Large Language Models](https://md.research.elamur.ai/free/en/papers/zhao-2023-survey-large-language-models/) [Frontiers of Computer Science](https://md.research.elamur.ai/free/en/venues/frontiers-of-computer-science/)**Wayne Xin Zhao, Kun Zhou, Junyi Li, et al.*2023 · 2,863 citations*
2. [**Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads arXiv:2401.10774**Tianle Cai, Yuhong Li, Zhengyang Geng, et al.*2024 · 271 citations*](https://md.research.elamur.ai/free/en/papers/cai-2024-medusa-simple-llm-inference-acceleration/)
3. **[Results of WMT23 Metrics Shared Task: Metrics Might Be Guilty but References Are Not Innocent](https://md.research.elamur.ai/free/en/papers/freitag-2023-results-wmt23-metrics-shared-task/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Markus Freitag, Nitika Mathur, Chi-kiu Lo, et al.*2023 · 155 citations*
4. **[RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors](https://md.research.elamur.ai/free/en/papers/dugan-2024-raid-shared-benchmark-robust-evaluation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Liam Dugan, Alyssa Hwang, Filip Trhlík, et al.*2024 · 110 citations*
5. [**MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods arXiv:2309.10966**Mara Finkelstein; Subhajit Naskar; Mehdi Mirzazadeh; Apurva Shah;, Markus Freitag*2023 · 30 citations*](https://md.research.elamur.ai/free/en/papers/finkelstein-2023-mbr-qe-finetuning-training-time/)
6. **[MLLP-VRAIN UPV System for the IWSLT 2026 Simultaneous Speech Translation Task](https://md.research.elamur.ai/free/en/papers/sanchez-2026-mllp-vrain-upv-system-iwslt/) [International Conference on Spoken Language Translation (IWSLT)](https://md.research.elamur.ai/free/en/venues/iwslt/)**Jorge Iranzo-Sánchez, Gerard Mas-Mollà, Adrià Gimenez, et al.*2026 · 1 citation*
7. **[Uncertainty Quantification for Evaluating Gender Bias in Machine Translation](https://md.research.elamur.ai/free/en/papers/staliunaite-2026-uncertainty-quantification-evaluating-gender-bias/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ieva Staliunaite, Julius Cheng, Andreas Vlachos*2026 · 1 citation*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/hewitt-2022-truncation-sampling-as-language-model/) — Truncation Sampling as Language Model Desmoothing