Daphne Ippolito
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
29
Venues
8
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
29 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation. | Shivalika Singh, Angelika Romanou, Clmentine Fourrier, David Ifeoluwa Adelani, Jian Gang Ngui, Daniel Vila-Suero, Peerat Limkonchotiwat, Kelly Marchisio, Wei Qi Leong, Yosephine Susanto, Raymond Ng, Shayne Longpre, Sebastian Ruder, Wei-Yin Ko, Antoine Bosselut, Alice Oh, Andr F. T. Martins, Leshem Choshen, Daphne Ippolito, Enzo Ferrante, Marzieh Fadaee, Beyza Ermis, Sara Hooker |
| 2025 | EMNLP | CIE: Controlling Language Model Text Generations Using Continuous Signals. | Vinay Samuel, Harshita Diddee, Yiming Zhang, Daphne Ippolito |
| 2025 | ICLR | Human-Aligned Chess With a Bit of Search. | Yiming Zhang, Athul Paul Jacob, Vivian Lai, Daniel Fried, Daphne Ippolito |
| 2025 | ICLR | Measuring Non-Adversarial Reproduction of Training Data in Large Language Models. | Michael Aerni, Javier Rando, Edoardo Debenedetti, Nicholas Carlini, Daphne Ippolito, Florian Tramr |
| 2025 | ICLR | 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 Tramr, Katherine Lee |
| 2025 | ICLR | Persistent Pre-training Poisoning of LLMs. | Yiming Zhang, Javier Rando, Ivan Evtimov, Jianfeng Chi, Eric Michael Smith, Nicholas Carlini, Florian Tramr, Daphne Ippolito |
| 2025 | ICML | Exploring and Mitigating Adversarial Manipulation of Voting-Based Leaderboards. | Yangsibo Huang, Milad Nasr, Anastasios Nikolas Angelopoulos, Nicholas Carlini, Wei-Lin Chiang, Christopher A. Choquette-Choo, Daphne Ippolito, Matthew Jagielski, Katherine Lee, Ken Liu, Ion Stoica, Florian Tramr, Chiyuan Zhang |
| 2025 | NAACL | Chasing Random: Instruction Selection Strategies Fail to Generalize. | Harshita Diddee, Daphne Ippolito |
| 2024 | ACL | RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors. | Liam Dugan, Alyssa Hwang, Filip Trhlk, Andrew Zhu, Josh Magnus Ludan, Hainiu Xu, Daphne Ippolito, Chris Callison-Burch |
| 2024 | EMNLP | CAVA: A Tool for Cultural Alignment Visualization & Analysis. | Nevan Giuliani, Cheng Charles Ma, Prakruthi Pradeep, Daphne Ippolito |
| 2024 | INLG | Customizing Large Language Model Generation Style using Parameter-Efficient Finetuning. | Xinyue Liu, Harshita Diddee, Daphne Ippolito |
| 2024 | NAACL | 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 |
| 2023 | AAAI | 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 |
| 2023 | ICLR | Quantifying Memorization Across Neural Language Models. | Nicholas Carlini, Daphne Ippolito, Matthew Jagielski, Katherine Lee, Florian Tramr, Chiyuan Zhang |
| 2023 | ICLR | Measuring Forgetting of Memorized Training Examples. | Matthew Jagielski, Om Thakkar, Florian Tramr, Daphne Ippolito, Katherine Lee, Nicholas Carlini, Eric Wallace, Shuang Song, Abhradeep Guha Thakurta, Nicolas Papernot, Chiyuan Zhang |
| 2023 | INLG | Reverse-Engineering Decoding Strategies Given Blackbox Access to a Language Generation System. | Daphne Ippolito, Nicholas Carlini, Katherine Lee, Milad Nasr, Yun William Yu |
| 2023 | INLG | Preventing Generation of Verbatim Memorization in Language Models Gives a False Sense of Privacy. | Daphne Ippolito, Florian Tramr, Milad Nasr, Chiyuan Zhang, Matthew Jagielski, Katherine Lee, Christopher A. Choquette-Choo, Nicholas Carlini |
| 2022 | ACL | Deduplicating Training Data Makes Language Models Better. | Katherine Lee, Daphne Ippolito, Andrew Nystrom, Chiyuan Zhang, Douglas Eck, Chris Callison-Burch, Nicholas Carlini |
| 2022 | ACL | A Recipe for Arbitrary Text Style Transfer with Large Language Models. | Emily Reif, Daphne Ippolito, Ann Yuan, Andy Coenen, Chris Callison-Burch, Jason Wei |
| 2022 | EMNLP | 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 |
| 2022 | IUI | Wordcraft: Story Writing With Large Language Models. | Ann Yuan, Andy Coenen, Emily Reif, Daphne Ippolito |
| 2022 | NAACL | 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 |
| 2020 | ACL | Automatic Detection of Generated Text is Easiest when Humans are Fooled. | Daphne Ippolito, Daniel Duckworth, Chris Callison-Burch, Douglas Eck |
| 2020 | ACL | Toward Better Storylines with Sentence-Level Language Models. | Daphne Ippolito, David Grangier, Douglas Eck, Chris Callison-Burch |
| 2020 | EMNLP | RoFT: A Tool for Evaluating Human Detection of Machine-Generated Text. | Liam Dugan, Daphne Ippolito, Arun Kirubarajan, Chris Callison-Burch |
| 2019 | ACL | Comparison of Diverse Decoding Methods from Conditional Language Models. | Daphne Ippolito, Reno Kriz, Joo Sedoc, Maria Kustikova, Chris Callison-Burch |
| 2019 | NAACL | ChatEval: A Tool for Chatbot Evaluation. | Joo Sedoc, Daphne Ippolito, Arun Kirubarajan, Jai Thirani, Lyle H. Ungar, Chris Callison-Burch |
| 2018 | ACL | Learning Translations via Images with a Massively Multilingual Image Dataset. | John Hewitt, Daphne Ippolito, Brendan Callahan, Reno Kriz, Derry Tanti Wijaya, Chris Callison-Burch |
| 2018 | ICLR | Understanding image motion with group representations. | Andrew Jaegle, Stephen Phillips, Daphne Ippolito, Kostas Daniilidis |