---
title: "Luke Zettlemoyer — papers of 2024 — Elamur Research"
description: "Luke Zettlemoyer — papers of 2024: 7 papers on Elamur Research, the most cited first — what each work is about in our own words."
canonical: "https://research.elamur.ai/free/en/authors/luke-zettlemoyer/year/2024/"
---
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# Luke Zettlemoyer — papers of 2024 — Elamur Research

7 papers · [all years of Luke Zettlemoyer](https://md.research.elamur.ai/free/en/authors/luke-zettlemoyer/#years)

**[Trusting Your Evidence: Hallucinate Less with Context-aware Decoding](https://md.research.elamur.ai/free/en/papers/shi-2024-trusting-your-evidence-hallucinate-less/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Weijia Shi, Xiaochuang Han, Mike Lewis, et al.*2024 · 249 citations*

- [Do Membership Inference Attacks Work on Large Language Models? arXiv:2402.07841](https://md.research.elamur.ai/free/en/papers/duan-2024-membership-inference-attacks-work-large/) — Michael Duan, Anshuman Suri, Niloofar Mireshghallah, et al. · 2024 · 87 citations
- [Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens arXiv:2401.17377](https://md.research.elamur.ai/free/en/papers/liu-2024-infini-gram-scaling-unbounded-n/) — Jiacheng Liu, Sewon Min, Luke Zettlemoyer, et al. · 2024 · 62 citations
- [Reliable, Adaptable, and Attributable Language Models with Retrieval arXiv:2403.03187](https://md.research.elamur.ai/free/en/papers/asai-2024-reliable-adaptable-attributable-language-models/) — Akari Asai, Zexuan Zhong, Danqi Chen, et al. · 2024 · 45 citations

**[Breaking the Curse of Multilinguality with Cross-lingual Expert Language Models](https://md.research.elamur.ai/free/en/papers/blevins-2024-breaking-curse-multilinguality-cross-lingual/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Terra Blevins, Tomasz Limisiewicz, Suchin Gururangan, et al.*2024 · 42 citations*

**[MYTE: Morphology-Driven Byte Encoding for Better and Fairer Multilingual Language Modeling](https://md.research.elamur.ai/free/en/papers/limisiewicz-2024-myte-morphology-driven-byte-encoding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tomasz Limisiewicz, Terra Blevins, Hila Gonen, et al.*2024 · 30 citations*

- [Comparing Hallucination Detection Metrics for Multilingual Generation arXiv:2402.10496](https://md.research.elamur.ai/free/en/papers/kang-2024-comparing-hallucination-detection-metrics-multilingual/) — Haoqiang Kang, Terra Blevins, Luke Zettlemoyer · 2024 · 18 citations