---
title: "Eric Wallace — papers"
description: "Eric Wallace: 10 papers in the Elamur Research library (2019–2023) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/eric-wallace/"
---
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# Eric Wallace

10 papers on this site (2019–2023)

[OpenAlex](https://openalex.org/A5110564361) · h-index 25 · 40 works · 4735 citations (openalex-snapshot, 2026-10-14)

Profile data from OpenAlex; authors with the same name are not always told apart.

- [Scalable Extraction of Training Data from (Production) Language Models](https://md.research.elamur.ai/free/en/papers/nasr-2023-scalable-extraction-training-data-production/) — Milad Nasr, Nicholas Carlini, Jonathan Hayase, et al. · 2023
- [The False Promise of Imitating Proprietary LLMs](https://md.research.elamur.ai/free/en/papers/gudibande-2023-false-promise-imitating-proprietary-llms/) — Arnav Gudibande, Eric Wallace, Charlie Snell, et al. · 2023
- [Deduplicating Training Data Mitigates Privacy Risks in Language Models](https://md.research.elamur.ai/free/en/papers/kandpal-2022-deduplicating-training-data-mitigates-privacy/) — Nikhil Kandpal, Eric Wallace, Colin Raffel · 2022
- [Large Language Models Struggle to Learn Long-Tail Knowledge](https://md.research.elamur.ai/free/en/papers/kandpal-2022-large-language-models-struggle-learn/) — Nikhil Kandpal, Haikang Deng, Adam Roberts, et al. · 2022
- [Calibrate Before Use: Improving Few-Shot Performance of Language Models](https://md.research.elamur.ai/free/en/papers/zhao-2021-calibrate-before-use-improving-few/) — Tony Z. Zhao, Eric Wallace, Shi Feng, et al. · 2021
- [AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts](https://md.research.elamur.ai/free/en/papers/shin-2020-autoprompt-eliciting-knowledge-language-models/) — Taylor Shin, Yasaman Razeghi, Robert L. Logan IV, et al. · 2020
- [Evaluating Models' Local Decision Boundaries via Contrast Sets](https://md.research.elamur.ai/free/en/papers/gardner-2020-evaluating-models-local-decision-boundaries/) — Matt Gardner, Yoav Artzi, Victoria Basmov, et al. · 2020
- [Extracting Training Data from Large Language Models](https://md.research.elamur.ai/free/en/papers/carlini-2020-extracting-training-data-large-language/) — Nicholas Carlini, Florian Tramer, Eric Wallace, et al. · 2020
- [Pretrained Transformers Improve Out-of-Distribution Robustness](https://md.research.elamur.ai/free/en/papers/hendrycks-2020-pretrained-transformers-improve-out-distribution/) — Dan Hendrycks, Xiaoyuan Liu, Eric Wallace, et al. · 2020
- [Do NLP Models Know Numbers? Probing Numeracy in Embeddings](https://md.research.elamur.ai/free/en/papers/wallace-2019-do-nlp-models-know-numbers/) — Eric Wallace, Yizhong Wang, Sujian Li, et al. · 2019