---
title: "Who cites Inseq: An Interpretability Toolkit — 62 citing papers"
description: "62 papers of the Elamur Research library cite «Inseq: An Interpretability Toolkit for Sequence Generation Models», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/sarti-2023-inseq-interpretability-toolkit-sequence-generation/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Inseq: An Interpretability Toolkit for Sequence…](https://md.research.elamur.ai/free/en/papers/sarti-2023-inseq-interpretability-toolkit-sequence-generation/) / cited by

# Who cites «Inseq: An Interpretability Toolkit for Sequence Generation Models»

62 papers of our library cite it (of the 141,840 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «Inseq: An Interpretability Toolkit for Sequence Generation Models»](https://md.research.elamur.ai/free/en/papers/sarti-2023-inseq-interpretability-toolkit-sequence-generation/)

1. [**Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment arXiv:2308.05374**Yang Liu; Yuanshun Yao; Jean-Francois Ton; Xiaoying Zhang; Ruocheng Guo; Hao Cheng; Yegor Klochkov; Muhammad Faaiz Taufiq;, Hang Li*2023 · 220 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-trustworthy-llms-survey-guideline-evaluating/) **[Cross-Lingual Consistency of Factual Knowledge in Multilingual Language Models](https://md.research.elamur.ai/free/en/papers/qi-2023-cross-lingual-consistency-factual-knowledge/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jirui Qi, Raquel Fernández, Arianna Bisazza*2023 · 90 citations* **[From Insights to Impact: Actionable Interpretability for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/sarti-2026-insights-impact-actionable-interpretability-neural/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Gabriele Sarti*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/sarti-2023-inseq-interpretability-toolkit-sequence-generation/) — Inseq: An Interpretability Toolkit for Sequence Generation Models