Daphne Ippolito
Assistant Professor
Studies evaluation, safety and societal effects of language models, including memorization and generated-text detection.
Daphne Ippolito's lab at CMU works on interpretability, evaluation & safety of LMs, large language models and recognition, detection & segmentation. 26 papers since 2023, 21 at top venues, mostly ICLR and NeurIPS. 4 PhD students and 4 master's students. 4 alumni. Applications close .
At a glance
- papers, 2023–2026
- 7/ year
- at T1 venues
- 81%
- PhD students
- 4
- MS students
- 4
- alumni listed
- 4
Papers by yearfrom DBLP, 2023–2026
- 3 papers2026 · T1 3 · collecting
- 8 papers2025 · T1 7
- 5 papers2024 · T1 4
- 10 papers2023 · T1 7
T1 venuesOtherVenues: ICLR, NeurIPS, ACL, EMNLP, AAAI
Research focuspaper titles that use each topic's words
- Large language models13 papers
- memorization4 papers
- Interpretability, evaluation & safety of LMs2 papers
- Recognition, detection & segmentation0 papers
- societal0 papers
Paper list
From DBLP.
20263 papers
20258 papers
- Findings of NAACLChasing Random: Instruction Selection Strategies Fail to Generalize (opens in a new tab)
- EMNLP (T1)CIE: Controlling Language Model Text Generations Using Continuous Signals (opens in a new tab)
- ICML (T1)Exploring and Mitigating Adversarial Manipulation of Voting-Based Leaderboards (opens in a new tab)
- ACL (T1)Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation (opens in a new tab)
- ICLR (T1)Human-Aligned Chess With a Bit of Search (opens in a new tab)
- ICLR (T1)Measuring Non-Adversarial Reproduction of Training Data in Large Language Models (opens in a new tab)
- ICLR (T1)Persistent Pre-training Poisoning of LLMs (opens in a new tab)
- ICLR (T1)Scalable Extraction of Training Data from Aligned, Production Language Models (opens in a new tab)
20245 papers
- NAACL (T1)A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity (opens in a new tab)
- EMNLP (T1)CAVA: A Tool for Cultural Alignment Visualization & Analysis (opens in a new tab)
- NeurIPS (T1)Consent in Crisis: The Rapid Decline of the AI Data Commons (opens in a new tab)
- INLGCustomizing Large Language Model Generation Style using Parameter-Efficient Finetuning (opens in a new tab)
- ACL (T1)RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors (opens in a new tab)
202310 papers
- NeurIPS (T1)Are aligned neural networks adversarially aligned? (opens in a new tab)
- Trans. Mach. Learn. Res.Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (opens in a new tab)
- NeurIPS (T1)Counterfactual Memorization in Neural Language Models (opens in a new tab)
- USENIX Security (T1)Extracting Training Data from Diffusion Models (opens in a new tab)
- ICLR (T1)Measuring Forgetting of Memorized Training Examples (opens in a new tab)
- JMLR (T1)PaLM: Scaling Language Modeling with Pathways (opens in a new tab)
- INLGPreventing Generation of Verbatim Memorization in Language Models Gives a False Sense of Privacy (opens in a new tab)
- ICLR (T1)Quantifying Memorization Across Neural Language Models (opens in a new tab)
- AAAI (T1)Real or Fake Text?: Investigating Human Ability to Detect Boundaries between Human-Written and Machine-Generated Text (opens in a new tab)
- INLGReverse-Engineering Decoding Strategies Given Blackbox Access to a Language Generation System (opens in a new tab)
Where alumni went4 listed, 0% to industry
Industry 0Academia 1
Also to
- UMD College Park
Apply to CMUFall 2027
CMU SCS Computer Science PhD
- Round
- Single round
- Opens
- GRE
- See program page
- English
- TOEFL / IELTS / Duolingo (F-1/J-1 non-native speakers)
- Fee
- USD 100 (USD 80 by early deadline)
Confirmed on the program page.
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