---
title: "Hannaneh Hajishirzi — papers of 2024 — Elamur Research"
description: "Hannaneh Hajishirzi — 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/hannaneh-hajishirzi/year/2024/"
---
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# Hannaneh Hajishirzi — papers of 2024 — Elamur Research

7 papers · [all years of Hannaneh Hajishirzi](https://md.research.elamur.ai/free/en/authors/hannaneh-hajishirzi/#years)

- [Data Engineering for Scaling Language Models to 128K Context arXiv:2402.10171](https://md.research.elamur.ai/free/en/papers/fu-2024-data-engineering-scaling-language-models/) — Yao Fu, Rameswar Panda, Xinyao Niu, et al. · 2024 · 109 citations
- [Fine-grained Hallucination Detection and Editing for Language Models arXiv:2401.06855](https://md.research.elamur.ai/free/en/papers/mishra-2024-fine-grained-hallucination-detection-editing/) — Abhika Mishra, Akari Asai, Vidhisha Balachandran, et al. · 2024 · 100 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

**[BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer](https://md.research.elamur.ai/free/en/papers/asai-2024-buffet-benchmarking-large-language-models/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Akari Asai, Sneha Kudugunta, Xinyan Yu, et al.*2024 · 86 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

**[Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback](https://md.research.elamur.ai/free/en/papers/ivison-2024-unpacking-dpo-ppo-disentangling-best/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Hamish Ivison, Yizhong Wang, Jiacheng Liu, et al.*2024 · 50 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