Thomas Hartvigsen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
40
Venues
12
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
40 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Evaluating Temporal Consistency in Multi-Turn Language Models. | Yash Kumar Atri, Steven L. Johnson, Thomas Hartvigsen |
| 2026 | ACL | EDUMATH: Generating Standards-aligned Educational Math Word Problems. | Bryan R. Christ, Penelope Molitz, Beau LeBlond, Zachary Gottesman, Jonathan Kropko, Thomas Hartvigsen |
| 2026 | ACL | A Survey of Toxicity Mitigation Strategies for Multilingual Language Models. | Soham Dan, Himanshu Beniwal, Thomas Hartvigsen |
| 2026 | ACL | Inferring Events from Time Series using Language Models. | Mingtian Tan, Mike A. Merrill, Zachary Gottesman, Tim Althoff, David Evans, Thomas Hartvigsen |
| 2026 | KDD | Instruction-based Time Series Editing. | Jiaxing Qiu, Dongliang Guo, Brynne Sullivan, Teague R. Henry, Thomas Hartvigsen |
| 2025 | ACL | Lifelong Model Editing with Graph-Based External Memory. | Yash Kumar Atri, Ahmed M. Alaa, Thomas Hartvigsen |
| 2025 | ACL | Math Neurosurgery: Isolating Language Models' Math Reasoning Abilities Using Only Forward Passes. | Bryan R. Christ, Zachary Gottesman, Jonathan Kropko, Thomas Hartvigsen |
| 2025 | ACL | Efficient Knowledge Editing via Minimal Precomputation. | Akshat Gupta, Maochuan Lu, Thomas Hartvigsen, Gopala Anumanchipalli |
| 2025 | ACL | Low-Bit Quantization Favors Undertrained LLMs. | Xu Ouyang, Tao Ge, Thomas Hartvigsen, Zhisong Zhang, Haitao Mi, Dong Yu |
| 2025 | CIKM | Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing. | Dongliang Guo, Mengxuan Hu, Zihan Guan, Junfeng Guo, Thomas Hartvigsen, Sheng Li |
| 2025 | EMNLP | Sparse Autoencoder Features for Classifications and Transferability. | Jack Gallifant, Shan Chen, Kuleen Sasse, Hugo J. W. L. Aerts, Thomas Hartvigsen, Danielle S. Bitterman |
| 2025 | EMNLP | Lifelong Knowledge Editing requires Better Regularization. | Akshat Gupta, Phudish Prateepamornkul, Maochuan Lu, Ahmed M. Alaa, Thomas Hartvigsen, Gopala Anumanchipalli |
| 2025 | EMNLP | Decoding the Rule Book: Extracting Hidden Moderation Criteria from Reddit Communities. | Youngwoo Kim, Himanshu Beniwal, Steven L. Johnson, Thomas Hartvigsen |
| 2025 | EMNLP | ModelCitizens: Representing Community Voices in Online Safety. | Ashima Suvarna, Christina Chance, Karolina Naranjo, Hamid Palangi, Sophie Hao, Thomas Hartvigsen, Saadia Gabriel |
| 2025 | ICLR | Composable Interventions for Language Models. | Arinbjrn Kolbeinsson, Kyle O'Brien, Tianjin Huang, Shanghua Gao, Shiwei Liu, Jonathan Richard Schwarz, Anurag Jayant Vaidya, Faisal Mahmood, Marinka Zitnik, Tianlong Chen, Thomas Hartvigsen |
| 2025 | ICLR | Learning under Temporal Label Noise. | Sujay Nagaraj, Walter Gerych, Sana Tonekaboni, Anna Goldenberg, Berk Ustun, Thomas Hartvigsen |
| 2025 | ICML | BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing. | Dongliang Guo, Mengxuan Hu, Zihan Guan, Thomas Hartvigsen, Sheng Li |
| 2025 | ICML | Position: Medical Large Language Model Benchmarks Should Prioritize Construct Validity. | Ahmed Alaa, Thomas Hartvigsen, Niloufar Golchini, Shiladitya Dutta, Frances Dean, Inioluwa Deborah Raji, Travis Zack |
| 2025 | ICML | WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs. | Lukas Thede, Karsten Roth, Matthias Bethge, Zeynep Akata, Thomas Hartvigsen |
| 2024 | ACL | TAXI: Evaluating Categorical Knowledge Editing for Language Models. | Derek Powell, Walter Gerych, Thomas Hartvigsen |
| 2024 | AIES | Identifying Implicit Social Biases in Vision-Language Models. | Kimia Hamidieh, Haoran Zhang, Walter Gerych, Thomas Hartvigsen, Marzyeh Ghassemi |
| 2024 | EMNLP | MATHWELL: Generating Educational Math Word Problems Using Teacher Annotations. | Bryan R. Christ, Jonathan Kropko, Thomas Hartvigsen |
| 2024 | EMNLP | Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks. | Jack Gallifant, Shan Chen, Pedro Moreira, Nikolaj Munch, Mingye Gao, Jackson Pond, Leo Anthony Celi, Hugo J. W. L. Aerts, Thomas Hartvigsen, Danielle S. Bitterman |
| 2024 | EMNLP | Language Models Still Struggle to Zero-shot Reason about Time Series. | Mike A. Merrill, Mingtian Tan, Vinayak Gupta, Thomas Hartvigsen, Tim Althoff |
| 2024 | MICCAI | FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging. | Kumail Alhamoud, Yasir Ghunaim, Motasem Alfarra, Thomas Hartvigsen, Philip Torr, Bernard Ghanem, Adel Bibi, Marzyeh Ghassemi |
| 2023 | AAAI | Knowledge Amalgamation for Multi-Label Classification via Label Dependency Transfer. | Jidapa Thadajarassiri, Thomas Hartvigsen, Walter Gerych, Xiangnan Kong, Elke A. Rundensteiner |
| 2022 | AAAI | Recovering the Propensity Score from Biased Positive Unlabeled Data. | Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke A. Rundensteiner |
| 2022 | ACL | ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection. | Thomas Hartvigsen, Saadia Gabriel, Hamid Palangi, Maarten Sap, Dipankar Ray, Ece Kamar |
| 2022 | CIKM | Robust Recurrent Classifier Chains for Multi-Label Learning with Missing Labels. | Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke A. Rundensteiner |
| 2022 | CIKM | Stop&Hop: Early Classification of Irregular Time Series. | Thomas Hartvigsen, Walter Gerych, Jidapa Thadajarassiri, Xiangnan Kong, Elke A. Rundensteiner |
| 2022 | ICDM | Class-Specific Explainability for Deep Time Series Classifiers. | Ramesh Doddaiah, Prathyush S. Parvatharaju, Elke A. Rundensteiner, Thomas Hartvigsen |
| 2022 | LREC | TWEET-FID: An Annotated Dataset for Multiple Foodborne Illness Detection Tasks. | Ruofan Hu, Dongyu Zhang, Dandan Tao, Thomas Hartvigsen, Hao Feng, Elke A. Rundensteiner |
| 2022 | SDM | Positive Unlabeled Learning with a Sequential Selection Bias. | Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Abdulaziz Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Elke A. Rundensteiner, Emmanuel Agu |
| 2021 | AAAI | Semi-Supervised Knowledge Amalgamation for Sequence Classification. | Jidapa Thadajarassiri, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner |
| 2021 | CIKM | Learning Saliency Maps to Explain Deep Time Series Classifiers. | Prathyush S. Parvatharaju, Ramesh Doddaiah, Thomas Hartvigsen, Elke A. Rundensteiner |
| 2021 | KDD | Energy-Efficient Models for High-Dimensional Spike Train Classification using Sparse Spiking Neural Networks. | Hang Yin, John Boaz Lee, Xiangnan Kong, Thomas Hartvigsen, Sihong Xie |
| 2020 | ACL | Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words? | Cansu Sen, Thomas Hartvigsen, Biao Yin, Xiangnan Kong, Elke A. Rundensteiner |
| 2020 | CIKM | Learning to Selectively Update State Neurons in Recurrent Networks. | Thomas Hartvigsen, Cansu Sen, Xiangnan Kong, Elke A. Rundensteiner |
| 2020 | KDD | Recurrent Halting Chain for Early Multi-label Classification. | Thomas Hartvigsen, Cansu Sen, Xiangnan Kong, Elke A. Rundensteiner |
| 2019 | KDD | Adaptive-Halting Policy Network for Early Classification. | Thomas Hartvigsen, Cansu Sen, Xiangnan Kong, Elke A. Rundensteiner |