Daphne Ippolito

31 papers · 2018–2025 · 9 conferences · across top CS/AI conferences

Achievements

🏃 Academic Marathon (7) 🐝 Cross-Pollinator (13) 🧭 Keyword Pioneer 🗺️ Taxonomy Completionist (43) 🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (9) 🤝 Dynamic Duo (13) 🏆 Grand Slam 👥 Mega-Team (67) 🧬 Topic Evolution 🏆 Keyword Champion (2) 🗃️ Keyword Collector (95) 🚀 Conference Pioneer ❓ The Questioner (2) ⚡ Prolific Year (8) 🔥 Unstoppable (8) 💎 Century Club (31)

Conferences

ACL (8) ICLR (7) NAACL (5) EMNLP (4) NIPS (3) AAAI (1) EACL (1) ICML (1) JMLR (1)

Top co-authors

Chris Callison-Burch (13) Nicholas Carlini (9) Katherine Lee (8) Florian Tramer (8) Matthew Jagielski (6) Chiyuan Zhang (5) Douglas Eck (5) Emily Reif (4) Liam Dugan (4) Shayne Longpre (3)

Keywords

language model (11) text generation (6) large language model (6) machine-generated text detection (3) text classification (2) human detection (2) training datum (2) human evaluation (2) generated text detection (2) cultural bia (2) story generation (2) machine translation (2) model evaluation (1) natural language generation (1) few-shot learning (1) zero-shot learning (1) conversational ai (1) hierarchical model (1) cross-lingual transfer (1) adversarial robustness (1)

Papers

CIE: Controlling Language Model Text Generations Using Continuous Signals EMNLP 2025

Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation ACL 2025

Chasing Random: Instruction Selection Strategies Fail to Generalize NAACL 2025

Exploring and Mitigating Adversarial Manipulation of Voting-Based Leaderboards ICML 2025

Human-Aligned Chess With a Bit of Search ICLR 2025

Persistent Pre-training Poisoning of LLMs ICLR 2025

Measuring Non-Adversarial Reproduction of Training Data in Large Language Models ICLR 2025

Scalable Extraction of Training Data from Aligned, Production Language Models ICLR 2025

CAVA: A Tool for Cultural Alignment Visualization & Analysis EMNLP 2024

Consent in Crisis: The Rapid Decline of the AI Data Commons NIPS 2024

RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors ACL 2024

A Pretrainer’s Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity NAACL 2024

PaLM: Scaling Language Modeling with Pathways JMLR 2023

Are aligned neural networks adversarially aligned? NIPS 2023

Measuring Forgetting of Memorized Training Examples ICLR 2023

Quantifying Memorization Across Neural Language Models ICLR 2023

Real or Fake Text?: Investigating Human Ability to Detect Boundaries between Human-Written and Machine-Generated Text AAAI 2023

Counterfactual Memorization in Neural Language Models NIPS 2023

A Recipe for Arbitrary Text Style Transfer with Large Language Models ACL 2022

Dungeons and Dragons as a Dialog Challenge for Artificial Intelligence EMNLP 2022

The Case for a Single Model that can Both Generate Continuations and Fill-in-the-Blank NAACL 2022

Deduplicating Training Data Makes Language Models Better ACL 2022

Trading Off Diversity and Quality in Natural Language Generation EACL 2021

Automatic Detection of Generated Text is Easiest when Humans are Fooled ACL 2020

RoFT: A Tool for Evaluating Human Detection of Machine-Generated Text EMNLP 2020

Toward Better Storylines with Sentence-Level Language Models ACL 2020

Unsupervised Hierarchical Story Infilling NAACL 2019

Comparison of Diverse Decoding Methods from Conditional Language Models ACL 2019

ChatEval: A Tool for Chatbot Evaluation NAACL 2019

Understanding image motion with group representations ICLR 2018

Learning Translations via Images with a Massively Multilingual Image Dataset ACL 2018