Daphne Ippolito

According to our database1, Daphne Ippolito authored at least 59 papers between 2016 and 2025.

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Bibliography

2025
Command-V: Pasting LLM Behaviors via Activation Profiles.
CoRR, June, 2025

A Fictional Q&A Dataset for Studying Memorization and Knowledge Acquisition.
CoRR, June, 2025

CIE: Controlling Language Model Text Generations Using Continuous Signals.
CoRR, May, 2025

LLMs unlock new paths to monetizing exploits.
CoRR, May, 2025

NoveltyBench: Evaluating Language Models for Humanlike Diversity.
CoRR, April, 2025

Exploring and Mitigating Adversarial Manipulation of Voting-Based Leaderboards.
CoRR, January, 2025

Chasing Random: Instruction Selection Strategies Fail to Generalize.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Persistent Pre-training Poisoning of LLMs.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Scalable Extraction of Training Data from Aligned, Production Language Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Measuring Non-Adversarial Reproduction of Training Data in Large Language Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Human-Aligned Chess With a Bit of Search.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation.
CoRR, 2024

Consent in Crisis: The Rapid Decline of the AI Data Commons.
CoRR, 2024

LMD3: Language Model Data Density Dependence.
CoRR, 2024

Forcing Diffuse Distributions out of Language Models.
CoRR, 2024

Gemma: Open Models Based on Gemini Research and Technology.
CoRR, 2024


A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Customizing Large Language Model Generation Style using Parameter-Efficient Finetuning.
Proceedings of the 17th International Natural Language Generation Conference, 2024

RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.
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Trans. Mach. Learn. Res., 2023

PaLM: Scaling Language Modeling with Pathways.
J. Mach. Learn. Res., 2023

Scalable Extraction of Training Data from (Production) Language Models.
CoRR, 2023

Report of the 1st Workshop on Generative AI and Law.
CoRR, 2023

Prompts Should not be Seen as Secrets: Systematically Measuring Prompt Extraction Attack Success.
CoRR, 2023

Are aligned neural networks adversarially aligned?
CoRR, 2023

Extracting Training Data from Diffusion Models.
Proceedings of the 32nd USENIX Security Symposium, 2023

Counterfactual Memorization in Neural Language Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Are aligned neural networks adversarially aligned?
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Preventing Generation of Verbatim Memorization in Language Models Gives a False Sense of Privacy.
Proceedings of the 16th International Natural Language Generation Conference, 2023

Reverse-Engineering Decoding Strategies Given Blackbox Access to a Language Generation System.
Proceedings of the 16th International Natural Language Generation Conference, 2023

Measuring Forgetting of Memorized Training Examples.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Quantifying Memorization Across Neural Language Models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Real or Fake Text?: Investigating Human Ability to Detect Boundaries between Human-Written and Machine-Generated Text.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Creative Writing with an AI-Powered Writing Assistant: Perspectives from Professional Writers.
CoRR, 2022

Preventing Verbatim Memorization in Language Models Gives a False Sense of Privacy.
CoRR, 2022

Creating Multimedia Summaries Using Tweets and Videos.
CoRR, 2022

The Case for a Single Model that can Both Generate Continuations and Fill-in-the-Blank.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Wordcraft: Story Writing With Large Language Models.
Proceedings of the IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22, 2022

Dungeons and Dragons as a Dialog Challenge for Artificial Intelligence.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

A Recipe for Arbitrary Text Style Transfer with Large Language Models.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Deduplicating Training Data Makes Language Models Better.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Inherent privacy limitations of decentralized contact tracing apps.
J. Am. Medical Informatics Assoc., 2021

SynthBio: A Case Study in Human-AI Collaborative Curation of Text Datasets.
CoRR, 2021

Wordcraft: a Human-AI Collaborative Editor for Story Writing.
CoRR, 2021

SynthBio: A Case Study in Faster Curation of Text Datasets.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020
COVI White Paper.
CoRR, 2020

Trading Off Diversity and Quality in Natural Language Generation.
CoRR, 2020

Contact Tracing Mobile Apps for COVID-19: Privacy Considerations and Related Trade-offs.
CoRR, 2020

RoFT: A Tool for Evaluating Human Detection of Machine-Generated Text.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020

Toward Better Storylines with Sentence-Level Language Models.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Automatic Detection of Generated Text is Easiest when Humans are Fooled.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Human and Automatic Detection of Generated Text.
CoRR, 2019

ChatEval: A Tool for Chatbot Evaluation.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Comparison of Diverse Decoding Methods from Conditional Language Models.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Understanding image motion with group representations.
Proceedings of the 6th International Conference on Learning Representations, 2018

Learning Translations via Images with a Massively Multilingual Image Dataset.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2016
Unsupervised learning of image motion by recomposing sequences.
CoRR, 2016


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