| 2025 | EMNLP | Diverse, not Short: A Length-Controlled Data Selection Strategy for Improving Response Diversity of Language Models. | Vijeta Deshpande, Debasmita Ghose, John D. Patterson, Roger E. Beaty, Anna Rumshisky |
| 2025 | NAACL | On Localizing and Deleting Toxic Memories in Large Language Models. | Anubrata Das, Manoj Kumar, Ninareh Mehrabi, Anil Ramakrishna, Anna Rumshisky, Kai-Wei Chang, Aram Galstyan, Morteza Ziyadi, Rahul Gupta |
| 2025 | NAACL | MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs. | Yuhang Zhou, Giannis Karamanolakis, Victor Soto, Anna Rumshisky, Mayank Kulkarni, Furong Huang, Wei Ai, Jianhua Lu |
| 2024 | COLING | NarrativeTime: Dense Temporal Annotation on a Timeline. | Anna Rogers, Marzena Karpinska, Ankita Gupta, Vladislav Lialin, Gregory Smelkov, Anna Rumshisky |
| 2024 | COLING | Deconstructing In-Context Learning: Understanding Prompts via Corruption. | Namrata Shivagunde, Vladislav Lialin, Sherin Muckatira, Anna Rumshisky |
| 2024 | EACL | Prompt Perturbation Consistency Learning for Robust Language Models. | Yao Qiang, Subhrangshu Nandi, Ninareh Mehrabi, Greg Ver Steeg, Anoop Kumar, Anna Rumshisky, Aram Galstyan |
| 2024 | ICLR | ReLoRA: High-Rank Training Through Low-Rank Updates. | Vladislav Lialin, Sherin Muckatira, Namrata Shivagunde, Anna Rumshisky |
| 2024 | NAACL | Emergent Abilities in Reduced-Scale Generative Language Models. | Sherin Muckatira, Vijeta Deshpande, Vladislav Lialin, Anna Rumshisky |
| 2023 | ACL | Honey, I Shrunk the Language: Language Model Behavior at Reduced Scale. | Vijeta Deshpande, Dan Pechi, Shree Thatte, Vladislav Lialin, Anna Rumshisky |
| 2023 | ACL | Recipes for Sequential Pre-training of Multilingual Encoder and Seq2Seq Models. | Saleh Soltan, Andy Rosenbaum, Tobias Falke, Qin Lu, Anna Rumshisky, Wael Hamza |
| 2023 | EMNLP | Larger Probes Tell a Different Story: Extending Psycholinguistic Datasets Via In-Context Learning. | Namrata Shivagunde, Vladislav Lialin, Anna Rumshisky |
| 2023 | ICASSP | Self-Healing Through Error Detection, Attribution, and Retraining. | Ansel MacLaughlin, Anna Rumshisky, Rinat Khaziev, Anil Ramakrishna, Yuval Merhav, Rahul Gupta |
| 2023 | Interspeech | Sampling bias in NLU models: Impact and Mitigation. | Zefei Li, Anil Ramakrishna, Anna Rumshisky, Andy Rosenbaum, Saleh Soltan, Rahul Gupta |
| 2023 | WACV | Scalable and Accurate Self-supervised Multimodal Representation Learning without Aligned Video and Text Data. | Vladislav Lialin, Stephen Rawls, David Chan, Shalini Ghosh, Anna Rumshisky, Wael Hamza |
| 2022 | ACL | Down and Across: Introducing Crossword-Solving as a New NLP Benchmark. | Saurabh Kulshreshtha, Olga Kovaleva, Namrata Shivagunde, Anna Rumshisky |
| 2022 | ACL | Life after BERT: What do Other Muppets Understand about Language? | Vladislav Lialin, Kevin Zhao, Namrata Shivagunde, Anna Rumshisky |
| 2022 | ICASSP | An Efficient DP-SGD Mechanism for Large Scale NLU Models. | Christophe Dupuy, Radhika Arava, Rahul Gupta, Anna Rumshisky |
| 2022 | IJCNLP | Chasing the Tail with Domain Generalization: A Case Study on Frequency-Enriched Datasets. | Manoj Kumar, Anna Rumshisky, Rahul Gupta |
| 2022 | NAACL | Controlled Data Generation via Insertion Operations for NLU. | Manoj Kumar, Yuval Merhav, Haidar Khan, Rahul Gupta, Anna Rumshisky, Wael Hamza |
| 2022 | NAACL | Federated Learning with Noisy User Feedback. | Rahul Sharma, Anil Ramakrishna, Ansel MacLaughlin, Anna Rumshisky, Jimit Majmudar, Clement Chung, Salman Avestimehr, Rahul Gupta |
| 2021 | ACL | BERT Busters: Outlier Dimensions that Disrupt Transformers. | Olga Kovaleva, Saurabh Kulshreshtha, Anna Rogers, Anna Rumshisky |
| 2020 | AAAI | Getting Closer to AI Complete Question Answering: A Set of Prerequisite Real Tasks. | Anna Rogers, Olga Kovaleva, Matthew Downey, Anna Rumshisky |
| 2020 | COLING | A guide to the dataset explosion in QA, NLI, and commonsense reasoning. | Anna Rogers, Anna Rumshisky |
| 2020 | EMNLP | When BERT Plays the Lottery, All Tickets Are Winning. | Sai Prasanna, Anna Rogers, Anna Rumshisky |
| 2019 | EMNLP | Revealing the Dark Secrets of BERT. | Olga Kovaleva, Alexey Romanov, Anna Rogers, Anna Rumshisky |
| 2019 | NAACL | What's in a Name? Reducing Bias in Bios without Access to Protected Attributes. | Alexey Romanov, Maria De-Arteaga, Hanna M. Wallach, Jennifer T. Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Cem Geyik, Krishnaram Kenthapadi, Anna Rumshisky, Adam Kalai |
| 2019 | NAACL | Adversarial Decomposition of Text Representation. | Alexey Romanov, Anna Rumshisky, Anna Rogers, David Donahue |
| 2018 | ACL | Context-Aware Neural Model for Temporal Information Extraction. | Yuanliang Meng, Anna Rumshisky |
| 2018 | COLING | Triad-based Neural Network for Coreference Resolution. | Yuanliang Meng, Anna Rumshisky |
| 2018 | COLING | What's in Your Embedding, And How It Predicts Task Performance. | Anna Rogers, Shashwath Hosur Ananthakrishna, Anna Rumshisky |
| 2018 | COLING | RuSentiment: An Enriched Sentiment Analysis Dataset for Social Media in Russian. | Anna Rogers, Alexey Romanov, Anna Rumshisky, Svitlana Volkova, Mikhail Gronas, Alex Gribov |
| 2018 | EMNLP | Similarity-Based Reconstruction Loss for Meaning Representation. | Olga Kovaleva, Anna Rumshisky, Alexey Romanov |
| 2018 | LREC | Automatic Labeling of Problem-Solving Dialogues for Computational Microgenetic Learning Analytics. | Yuanliang Meng, Anna Rumshisky, Florence R. Sullivan |
| 2017 | EMNLP | Temporal Information Extraction for Question Answering Using Syntactic Dependencies in an LSTM-based Architecture. | Yuanliang Meng, Anna Rumshisky, Alexey Romanov |
| 2017 | EMNLP | Towards Debate Automation: a Recurrent Model for Predicting Debate Winners. | Peter Potash, Anna Rumshisky |
| 2017 | EMNLP | Tracking Bias in News Sources Using Social Media: the Russia-Ukraine Maidan Crisis of 2013-2014. | Peter Potash, Alexey Romanov, Anna Rumshisky, Mikhail Gronas |
| 2017 | EMNLP | Here's My Point: Joint Pointer Architecture for Argument Mining. | Peter Potash, Alexey Romanov, Anna Rumshisky |
| 2017 | ICLR | Forced to Learn: Discovering Disentangled Representations Without Exhaustive Labels. | Alexey Romanov, Anna Rumshisky |
| 2017 | IJCNLP | Length, Interchangeability, and External Knowledge: Observations from Predicting Argument Convincingness. | Peter Potash, Robin Bhattacharya, Anna Rumshisky |
| 2016 | ACL | MUTT: Metric Unit TesTing for Language Generation Tasks. | William Boag, Renan Campos, Kate Saenko, Anna Rumshisky |
| 2016 | AMIA | Interpretable Topic Features for Post-ICU Mortality Prediction. | Yen-Fu Luo, Anna Rumshisky |
| 2016 | RecSys | Recommender System Incorporating User Personality Profile through Analysis of Written Reviews. | Peter Potash, Anna Rumshisky |
| 2015 | EMNLP | GhostWriter: Using an LSTM for Automatic Rap Lyric Generation. | Peter Potash, Alexey Romanov, Anna Rumshisky |
| 2014 | KDD | Unfolding physiological state: mortality modelling in intensive care units. | Marzyeh Ghassemi, Tristan Naumann, Finale Doshi-Velez, Nicole Brimmer, Rohit Joshi, Anna Rumshisky, Peter Szolovits |
| 2012 | AMIA | Using UMLS for Word Sense Disambiguation in Clinical Notes. | Anna Rumshisky, Rachel Chasin, zlem Uzuner, Peter Szolovits |
| 2012 | LREC | Word Sense Inventories by Non-Experts. | Anna Rumshisky, Nick Botchan, Sophie Kushkuley, James Pustejovsky |
| 2009 | NAACL | SemEval-2010 Task 7: Argument Selection and Coercion. | James Pustejovsky, Anna Rumshisky |
| 2006 | FlAIRS | Constructing a Corpus-based Ontology Using Model Bias. | Anna Rumshisky, Patrick Hanks, Catherine Havasi, James Pustejovsky |
| 2006 | LREC | Towards a Generative Lexical Resource: The Brandeis Semantic Ontology. | James Pustejovsky, Catherine Havasi, Jessica Littman, Anna Rumshisky, Marc Verhagen |
| 2006 | LREC | Inducing Sense-Discriminating Context Patterns from Sense-Tagged Corpora. | Anna Rumshisky, James Pustejovsky |
| 2006 | SIGdial | Classification of Discourse Coherence Relations: An Exploratory Study using Multiple Knowledge Sources. | Ben Wellner, James Pustejovsky, Catherine Havasi, Anna Rumshisky, Roser Saur |
| 2005 | ACL | Automating Temporal Annotation with TARSQI. | Marc Verhagen, Inderjeet Mani, Roser Saur, Jessica Littman, Robert Knippen, Seok Bae Jang, Anna Rumshisky, John Phillips, James Pustejovsky |
| 2004 | COLING | Automated Induction of Sense in Context. | James Pustejovsky, Patrick Hanks, Anna Rumshisky |