Unsupervised learning of image motion by recomposing sequences. - Andrew Jaegle; Stephen Phillips; Daphne Ippolito; Kostas Daniilidis (CoRR, 2016)

Learning Translations via Images with a Massively Multilingual Image Dataset. - John Hewitt; Daphne Ippolito; Brendan Callahan; Reno Kriz; Derry Tanti Wijaya; Chris Callison-Burch (ACL (1), 2018)

Understanding image motion with group representations. - Andrew Jaegle; Stephen Phillips; Daphne Ippolito; Kostas Daniilidis (ICLR (Poster), 2018)

Comparison of Diverse Decoding Methods from Conditional Language Models. - Daphne Ippolito; Reno Kriz; João Sedoc; Maria Kustikova; Chris Callison-Burch (ACL (1), 2019)

ChatEval: A Tool for Chatbot Evaluation. - João Sedoc; Daphne Ippolito; Arun Kirubarajan; Jai Thirani; Lyle H. Ungar; Chris Callison-Burch (NAACL-HLT (Demonstrations), 2019)

Human and Automatic Detection of Generated Text. - Daphne Ippolito; Daniel Duckworth; Chris Callison-Burch; Douglas Eck (CoRR, 2019)

Automatic Detection of Generated Text is Easiest when Humans are Fooled. - Daphne Ippolito; Daniel Duckworth; Chris Callison-Burch; Douglas Eck (ACL, 2020)

Toward Better Storylines with Sentence-Level Language Models. - Daphne Ippolito; David Grangier; Douglas Eck; Chris Callison-Burch (ACL, 2020)

RoFT: A Tool for Evaluating Human Detection of Machine-Generated Text. - Liam Dugan; Daphne Ippolito; Arun Kirubarajan; Chris Callison-Burch (EMNLP (Demos), 2020)

Contact Tracing Mobile Apps for COVID-19: Privacy Considerations and Related Trade-offs. - Hyunghoon Cho; Daphne Ippolito; Yun William Yu (CoRR, 2020)

Trading Off Diversity and Quality in Natural Language Generation. - Hugh Zhang; Daniel Duckworth; Daphne Ippolito; Arvind Neelakantan (CoRR, 2020)

COVI White Paper. - Hannah Alsdurf; Yoshua Bengio; Tristan Deleu; Prateek Gupta; Daphne Ippolito; Richard Janda; Max Jarvie; Tyler Kolody; Sekoul Krastev; Tegan Maharaj; Robert Obryk; Dan Pilat; et al. (CoRR, 2020)

SynthBio: A Case Study in Faster Curation of Text Datasets. - Ann Yuan; Daphne Ippolito; Vitaly Nikolaev; Chris Callison-Burch; Andy Coenen; Sebastian Gehrmann (NeurIPS Datasets and Benchmarks, 2021)

Wordcraft: a Human-AI Collaborative Editor for Story Writing. - Andy Coenen; Luke Davis; Daphne Ippolito; Emily Reif; Ann Yuan (CoRR, 2021)

SynthBio: A Case Study in Human-AI Collaborative Curation of Text Datasets. - Ann Yuan; Daphne Ippolito; Vitaly Nikolaev; Chris Callison-Burch; Andy Coenen; Sebastian Gehrmann (CoRR, 2021)

Inherent privacy limitations of decentralized contact tracing apps. - Yoshua Bengio; Daphne Ippolito; Richard Janda; Max Jarvie; Benjamin Prud'homme; Jean-Franois Rousseau; Abhinav Sharma; Yun William Yu (J. Am. Medical Informatics Assoc., 2021)

Deduplicating Training Data Makes Language Models Better. - Katherine Lee; Daphne Ippolito; Andrew Nystrom; Chiyuan Zhang; Douglas Eck; Chris Callison-Burch; Nicholas Carlini (ACL (1), 2022)

A Recipe for Arbitrary Text Style Transfer with Large Language Models. - Emily Reif; Daphne Ippolito; Ann Yuan; Andy Coenen; Chris Callison-Burch; Jason Wei (ACL (2), 2022)

Dungeons and Dragons as a Dialog Challenge for Artificial Intelligence. - Chris Callison-Burch; Gaurav Singh Tomar; Lara J. Martin; Daphne Ippolito; Suma Bailis; David Reitter (EMNLP, 2022)

Wordcraft: Story Writing With Large Language Models. - Ann Yuan; Andy Coenen; Emily Reif; Daphne Ippolito (IUI, 2022)

The Case for a Single Model that can Both Generate Continuations and Fill-in-the-Blank. - Daphne Ippolito; Liam Dugan; Emily Reif; Ann Yuan; Andy Coenen; Chris Callison-Burch (NAACL-HLT (Findings), 2022)

Creating Multimedia Summaries Using Tweets and Videos. - Anietie Andy; Siyi Liu; Daphne Ippolito; Reno Kriz; Chris Callison-Burch; Derry Wijaya (CoRR, 2022)

Preventing Verbatim Memorization in Language Models Gives a False Sense of Privacy. - Daphne Ippolito; Florian Tramèr; Milad Nasr; Chiyuan Zhang; Matthew Jagielski; Katherine Lee; Christopher A. Choquette-Choo; Nicholas Carlini (CoRR, 2022)

Creative Writing with an AI-Powered Writing Assistant: Perspectives from Professional Writers. - Daphne Ippolito; Ann Yuan; Andy Coenen; Sehmon Burnam (CoRR, 2022)

Real or Fake Text?: Investigating Human Ability to Detect Boundaries between Human-Written and Machine-Generated Text. - Liam Dugan; Daphne Ippolito; Arun Kirubarajan; Sherry Shi; Chris Callison-Burch (AAAI, 2023)

Quantifying Memorization Across Neural Language Models. - Nicholas Carlini; Daphne Ippolito; Matthew Jagielski; Katherine Lee; Florian Tramèr; Chiyuan Zhang (ICLR, 2023)

Measuring Forgetting of Memorized Training Examples. - Matthew Jagielski; Om Thakkar 001; Florian Tramèr; Daphne Ippolito; Katherine Lee; Nicholas Carlini; Eric Wallace; Shuang Song 001; Abhradeep Guha Thakurta; Nicolas Papernot; Chiyuan Zhang (ICLR, 2023)

Reverse-Engineering Decoding Strategies Given Blackbox Access to a Language Generation System. - Daphne Ippolito; Nicholas Carlini; Katherine Lee; Milad Nasr; Yun William Yu (INLG, 2023)

Preventing Generation of Verbatim Memorization in Language Models Gives a False Sense of Privacy. - Daphne Ippolito; Florian Tramèr; Milad Nasr; Chiyuan Zhang; Matthew Jagielski; Katherine Lee; Christopher A. Choquette-Choo; Nicholas Carlini (INLG, 2023)

Are aligned neural networks adversarially aligned? - Nicholas Carlini; Milad Nasr; Christopher A. Choquette-Choo; Matthew Jagielski; Irena Gao; Pang Wei Koh; Daphne Ippolito; Florian Tramèr; Ludwig Schmidt (NeurIPS, 2023)

Counterfactual Memorization in Neural Language Models. - Chiyuan Zhang; Daphne Ippolito; Katherine Lee; Matthew Jagielski; Florian Tramèr; Nicholas Carlini (NeurIPS, 2023)

Extracting Training Data from Diffusion Models. - Nicholas Carlini; Jamie Hayes; Milad Nasr; Matthew Jagielski; Vikash Sehwag; Florian Tramèr; Borja Balle; Daphne Ippolito; Eric Wallace (USENIX Security Symposium, 2023)

Are aligned neural networks adversarially aligned? - Nicholas Carlini; Milad Nasr; Christopher A. Choquette-Choo; Matthew Jagielski; Irena Gao; Anas Awadalla; Pang Wei Koh; Daphne Ippolito; Katherine Lee; Florian Tramèr; Ludwig Schmidt (CoRR, 2023)

Prompts Should not be Seen as Secrets: Systematically Measuring Prompt Extraction Attack Success. - Yiming Zhang; Daphne Ippolito (CoRR, 2023)

Report of the 1st Workshop on Generative AI and Law. - A. Feder Cooper; Katherine Lee; James Grimmelmann; Daphne Ippolito; Christopher Callison-Burch; Christopher A. Choquette-Choo; Niloofar Mireshghallah; Miles Brundage; David Mimno; Madiha Zahrah Choksi; Jack M. Balkin; Nicholas Carlini; et al. (CoRR, 2023)

Scalable Extraction of Training Data from (Production) Language Models. - Milad Nasr; Nicholas Carlini; Jonathan Hayase; Matthew Jagielski; A. Feder Cooper; Daphne Ippolito; Christopher A. Choquette-Choo; Eric Wallace; Florian Tramèr; Katherine Lee (CoRR, 2023)

PaLM: Scaling Language Modeling with Pathways. - Aakanksha Chowdhery; Sharan Narang; Jacob Devlin; Maarten Bosma; Gaurav Mishra; Adam Roberts; Paul Barham 001; Hyung Won Chung; Charles Sutton; Sebastian Gehrmann; Parker Schuh; Kensen Shi; et al. (J. Mach. Learn. Res., 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors. - Liam Dugan; Alyssa Hwang; Filip Trhlík; Andrew Zhu; Josh Magnus Ludan; Hainiu Xu; Daphne Ippolito; Chris Callison-Burch (ACL (1), 2024)

Customizing Large Language Model Generation Style using Parameter-Efficient Finetuning. - Xinyue Liu; Harshita Diddee; Daphne Ippolito (INLG, 2024)

A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity. - Shayne Longpre; Gregory Yauney; Emily Reif; Katherine Lee; Adam Roberts; Barret Zoph; Denny Zhou; Jason Wei; Kevin Robinson; David Mimno; Daphne Ippolito (NAACL-HLT, 2024)

Consent in Crisis: The Rapid Decline of the AI Data Commons. - Shayne Longpre; Robert Mahari; Ariel Lee; Campbell Lund; Hamidah Oderinwale; William Brannon; Nayan Saxena; Naana Obeng-Marnu; Tobin South; Cole Hunter; Kevin Klyman; Christopher Klamm; et al. (NeurIPS, 2024)

Gemma: Open Models Based on Gemini Research and Technology. - Thomas Mesnard; Cassidy Hardin; Robert Dadashi; Surya Bhupatiraju; Shreya Pathak; Laurent Sifre; Morgane Rivière; Mihir Sanjay Kale; Juliette Love; Pouya Tafti; Léonard Hussenot; Aakanksha Chowdhery; et al. (CoRR, 2024)

Forcing Diffuse Distributions out of Language Models. - Yiming Zhang; Avi Schwarzschild; Nicholas Carlini; Zico Kolter; Daphne Ippolito (CoRR, 2024)

LMD3: Language Model Data Density Dependence. - John Kirchenbauer; Garrett Honke; Gowthami Somepalli; Jonas Geiping; Daphne Ippolito; Katherine Lee; Tom Goldstein; David Andre (CoRR, 2024)

Consent in Crisis: The Rapid Decline of the AI Data Commons. - Shayne Longpre; Robert Mahari; Ariel Lee; Campbell Lund; Hamidah Oderinwale; William Brannon; Nayan Saxena; Naana Obeng-Marnu; Tobin South; Cole Hunter; Kevin Klyman; Christopher Klamm; et al. (CoRR, 2024)

Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation. - Shivalika Singh; Angelika Romanou; Clémentine Fourrier; David Ifeoluwa Adelani; Jian Gang Ngui; Daniel Vila-Suero; Peerat Limkonchotiwat; Kelly Marchisio; Wei Qi Leong; Yosephine Susanto; Raymond Ng; Shayne Longpre; et al. (CoRR, 2024)

Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation. - Shivalika Singh; Angelika Romanou; Clémentine Fourrier; David Ifeoluwa Adelani; Jian Gang Ngui; Daniel Vila-Suero; Peerat Limkonchotiwat; Kelly Marchisio; Wei Qi Leong; Yosephine Susanto; Raymond Ng; Shayne Longpre; et al. (ACL (1), 2025)

Human-Aligned Chess With a Bit of Search. - Yiming Zhang 022; Athul Paul Jacob; Vivian Lai; Daniel Fried; Daphne Ippolito (ICLR, 2025)

Measuring Non-Adversarial Reproduction of Training Data in Large Language Models. - Michael Aerni; Javier Rando; Edoardo Debenedetti; Nicholas Carlini; Daphne Ippolito; Florian Tramèr (ICLR, 2025)

Scalable Extraction of Training Data from Aligned, Production Language Models. - Milad Nasr; Javier Rando; Nicholas Carlini; Jonathan Hayase; Matthew Jagielski; A. Feder Cooper; Daphne Ippolito; Christopher A. Choquette-Choo; Florian Tramèr; Katherine Lee (ICLR, 2025)

Persistent Pre-training Poisoning of LLMs. - Yiming Zhang; Javier Rando; Ivan Evtimov; Jianfeng Chi; Eric Michael Smith; Nicholas Carlini; Florian Tramèr; Daphne Ippolito (ICLR, 2025)

Chasing Random: Instruction Selection Strategies Fail to Generalize. - Harshita Diddee; Daphne Ippolito (NAACL (Findings), 2025)

Exploring and Mitigating Adversarial Manipulation of Voting-Based Leaderboards. - Yangsibo Huang; Milad Nasr; Anastasios Angelopoulos; Nicholas Carlini; Wei-Lin Chiang; Christopher A. Choquette-Choo; Daphne Ippolito; Matthew Jagielski; Katherine Lee; Ken Ziyu Liu; Ion Stoica; Florian Tramèr; et al. (CoRR, 2025)

NoveltyBench: Evaluating Language Models for Humanlike Diversity. - Yiming Zhang; Harshita Diddee; Susan Holm; Hanchen Liu; Xinyue Liu; Vinay Samuel; Barry Wang; Daphne Ippolito (CoRR, 2025)

LLMs unlock new paths to monetizing exploits. - Nicholas Carlini; Milad Nasr; Edoardo Debenedetti; Barry Wang; Christopher A. Choquette-Choo; Daphne Ippolito; Florian Tramèr; Matthew Jagielski (CoRR, 2025)

CIE: Controlling Language Model Text Generations Using Continuous Signals. - Vinay Samuel; Harshita Diddee; Yiming Zhang; Daphne Ippolito (CoRR, 2025)

A Fictional Q&A Dataset for Studying Memorization and Knowledge Acquisition. - John Kirchenbauer; Janny Mongkolsupawan; Yuxin Wen; Tom Goldstein; Daphne Ippolito (CoRR, 2025)

Command-V: Pasting LLM Behaviors via Activation Profiles. - Barry Wang; Avi Schwarzschild; Alexander Robey; Ali Payani; Charles Fleming; Mingjie Sun; Daphne Ippolito (CoRR, 2025)