Anna Rumshisky

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 85

Top Venues

CoRR

EMNLP

ACL (1)

COLING

Publications

Namrata Shivagunde, Vladislav Lialin, Sherin Muckatira, Anna Rumshisky
Deconstructing In-Context Learning: Understanding Prompts via Corruption. CoRR (2024)
Namrata Shivagunde, Vladislav Lialin, Sherin Muckatira, Anna Rumshisky
Deconstructing In-Context Learning: Understanding Prompts via Corruption. LREC/COLING (2024)
Yao Qiang, Subhrangshu Nandi, Ninareh Mehrabi, Greg Ver Steeg, Anoop Kumar, Anna Rumshisky, Aram Galstyan
Prompt Perturbation Consistency Learning for Robust Language Models. EACL (Findings) (2024)
Yao Qiang, Subhrangshu Nandi, Ninareh Mehrabi, Greg Ver Steeg, Anoop Kumar, Anna Rumshisky, Aram Galstyan
Prompt Perturbation Consistency Learning for Robust Language Models. CoRR (2024)
Anna Rogers, Marzena Karpinska, Ankita Gupta, Vladislav Lialin, Gregory Smelkov, Anna Rumshisky
NarrativeTime: Dense Temporal Annotation on a Timeline. LREC/COLING (2024)
Sherin Muckatira, Vijeta Deshpande, Vladislav Lialin, Anna Rumshisky
Emergent Abilities in Reduced-Scale Generative Language Models. CoRR (2024)
Vladislav Lialin, Sherin Muckatira, Namrata Shivagunde, Anna Rumshisky
ReLoRA: High-Rank Training Through Low-Rank Updates. ICLR (2024)
Vijeta Deshpande, Dan Pechi, Shree Thatte, Vladislav Lialin, Anna Rumshisky
Honey, I Shrunk the Language: Language Model Behavior at Reduced Scale. CoRR (2023)
Sarah Pan, Vladislav Lialin, Sherin Muckatira, Anna Rumshisky
Let's Reinforce Step by Step. CoRR (2023)
Namrata Shivagunde, Vladislav Lialin, Anna Rumshisky
Larger Probes Tell a Different Story: Extending Psycholinguistic Datasets Via In-Context Learning. CoRR (2023)
Saleh Soltan, Andy Rosenbaum, Tobias Falke, Qin Lu, Anna Rumshisky, Wael Hamza
Recipes for Sequential Pre-training of Multilingual Encoder and Seq2Seq Models. CoRR (2023)
Ansel MacLaughlin, Anna Rumshisky, Rinat Khaziev, Anil Ramakrishna, Yuval Merhav, Rahul Gupta
Self-Healing Through Error Detection, Attribution, and Retraining. ICASSP (2023)
Vijeta Deshpande, Dan Pechi, Shree Thatte, Vladislav Lialin, Anna Rumshisky
Honey, I Shrunk the Language: Language Model Behavior at Reduced Scale. ACL (Findings) (2023)
Saleh Soltan, Andy Rosenbaum, Tobias Falke, Qin Lu, Anna Rumshisky, Wael Hamza
Recipes for Sequential Pre-training of Multilingual Encoder and Seq2Seq Models. ACL (Findings) (2023)
Vladislav Lialin, Stephen Rawls, David Chan, Shalini Ghosh, Anna Rumshisky, Wael Hamza
Scalable and Accurate Self-supervised Multimodal Representation Learning without Aligned Video and Text Data. WACV (Workshops) (2023)
Namrata Shivagunde, Vladislav Lialin, Anna Rumshisky
Larger Probes Tell a Different Story: Extending Psycholinguistic Datasets Via In-Context Learning. EMNLP (2023)
Vladislav Lialin, Namrata Shivagunde, Sherin Muckatira, Anna Rumshisky
Stack More Layers Differently: High-Rank Training Through Low-Rank Updates. CoRR (2023)
Zefei Li, Anil Ramakrishna, Anna Rumshisky, Andy Rosenbaum, Saleh Soltan, Rahul Gupta
Sampling bias in NLU models: Impact and Mitigation. INTERSPEECH (2023)
Vladislav Lialin, Vijeta Deshpande, Anna Rumshisky
Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning. CoRR (2023)
Vladislav Lialin, Stephen Rawls, David Chan, Shalini Ghosh, Anna Rumshisky, Wael Hamza
Scalable and Accurate Self-supervised Multimodal Representation Learning without Aligned Video and Text Data. CoRR (2023)
Saurabh Kulshreshtha, Olga Kovaleva, Namrata Shivagunde, Anna Rumshisky
Down and Across: Introducing Crossword-Solving as a New NLP Benchmark. ACL (1) (2022)
Rahul Sharma, Anil Ramakrishna, Ansel MacLaughlin, Anna Rumshisky, Jimit Majmudar, Clement Chung, Salman Avestimehr, Rahul Gupta
Federated Learning with Noisy User Feedback. CoRR (2022)
Vladislav Lialin, Kevin Zhao, Namrata Shivagunde, Anna Rumshisky
Life after BERT: What do Other Muppets Understand about Language? ACL (1) (2022)
Eric Lehman, Vladislav Lialin, Katelyn Y. Legaspi, Anne Janelle R. Sy, Patricia Therese S. Pile, Nicole Rose I. Alberto, Richard Raymund R. Ragasa, Corinna Victoria M. Puyat, Isabelle Rose I. Alberto, Pia Gabrielle I. Alfonso, Marianne Taliño, Dana Moukheiber, Byron C. Wallace, Anna Rumshisky, Jennifer J. Liang, Preethi Raghavan, Leo Anthony Celi, Peter Szolovits
Learning to Ask Like a Physician. CoRR (2022)
Christophe Dupuy, Radhika Arava, Rahul Gupta, Anna Rumshisky
An Efficient DP-SGD Mechanism for Large Scale NLU Models. ICASSP (2022)
Manoj Kumar, Anna Rumshisky, Rahul Gupta
Chasing the Tail with Domain Generalization: A Case Study on Frequency-Enriched Datasets. AACL/IJCNLP (1) (2022)
Saleh Soltan, Shankar Ananthakrishnan, Jack FitzGerald, Rahul Gupta, Wael Hamza, Haidar Khan, Charith Peris, Stephen Rawls, Andy Rosenbaum, Anna Rumshisky, Chandana Satya Prakash, Mukund Sridhar, Fabian Triefenbach, Apurv Verma, Gökhan Tür, Prem Natarajan
AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model. CoRR (2022)
Rahul Sharma, Anil Ramakrishna, Ansel MacLaughlin, Anna Rumshisky, Jimit Majmudar, Clement Chung, Salman Avestimehr, Rahul Gupta
Federated Learning with Noisy User Feedback. NAACL-HLT (2022)
Manoj Kumar, Yuval Merhav, Haidar Khan, Rahul Gupta, Anna Rumshisky, Wael Hamza
Controlled Data Generation via Insertion Operations for NLU. NAACL-HLT (Industry Papers) (2022)
Saurabh Kulshreshtha, Olga Kovaleva, Namrata Shivagunde, Anna Rumshisky
Down and Across: Introducing Crossword-Solving as a New NLP Benchmark. CoRR (2022)
Saurabh Kulshreshtha, Anna Rumshisky
Reasoning Circuits: Few-shot Multihop Question Generation with Structured Rationales. CoRR (2022)
Tzu-Hsiang Lin, Ta-Chung Chi, Anna Rumshisky
On Task-Adaptive Pretraining for Dialogue Response Selection. CoRR (2022)
Vladislav Lialin, Kevin Zhao, Namrata Shivagunde, Anna Rumshisky
Life after BERT: What do Other Muppets Understand about Language? CoRR (2022)
Olga Kovaleva, Saurabh Kulshreshtha, Anna Rogers, Anna Rumshisky
BERT Busters: Outlier LayerNorm Dimensions that Disrupt BERT. CoRR (2021)
Mikhail S. Burtsev, Anna Rumshisky
Multi-Stream Transformers. CoRR (2021)
Christophe Dupuy, Radhika Arava, Rahul Gupta, Anna Rumshisky
An Efficient DP-SGD Mechanism for Large Scale NLP Models. CoRR (2021)
Olga Kovaleva, Saurabh Kulshreshtha, Anna Rogers, Anna Rumshisky
BERT Busters: Outlier Dimensions that Disrupt Transformers. ACL/IJCNLP (Findings) (2021)
Anna Rogers, Olga Kovaleva, Anna Rumshisky
A Primer in BERTology: What we know about how BERT works. CoRR (2020)
Vladislav Lialin, Rahul Goel, Andrey Simanovsky, Anna Rumshisky, Rushin Shah
Continual Learning for Neural Semantic Parsing. CoRR (2020)
Anna Rogers, Olga Kovaleva, Matthew Downey, Anna Rumshisky
Getting Closer to AI Complete Question Answering: A Set of Prerequisite Real Tasks. AAAI (2020)
Anna Rogers, Olga Kovaleva, Anna Rumshisky
A Primer in BERTology: What We Know About How BERT Works. Trans. Assoc. Comput. Linguistics 8 (2020)
Sai Prasanna, Anna Rogers, Anna Rumshisky
When BERT Plays the Lottery, All Tickets Are Winning. EMNLP (1) (2020)
Olga Kovaleva, Chaitanya Shivade, Satyananda Kashyap, Karina Kanjaria, Joy T. Wu, Deddeh Ballah, Adam Coy, Alexandros Karargyris, Yufan Guo, David James Beymer, Anna Rumshisky, Vandana V. Mukherjee
Towards Visual Dialog for Radiology. BioNLP (2020)
Anna Rogers, Anna Rumshisky
A guide to the dataset explosion in QA, NLI, and commonsense reasoning. COLING (Tutorial) (2020)
Sai Prasanna, Anna Rogers, Anna Rumshisky
When BERT Plays the Lottery, All Tickets Are Winning. CoRR (2020)
Alexey Romanov, Maria De-Arteaga, Hanna M. Wallach, Jennifer T. Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Cem Geyik, Krishnaram Kenthapadi, Anna Rumshisky, Adam Tauman Kalai
What's in a Name? Reducing Bias in Bios without Access to Protected Attributes. CoRR (2019)
Alexey Romanov, Maria De-Arteaga, Hanna M. Wallach, Jennifer T. Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Cem Geyik, Krishnaram Kenthapadi, Anna Rumshisky, Adam Kalai
What's in a Name? Reducing Bias in Bios without Access to Protected Attributes. NAACL-HLT (1) (2019)
Yuanliang Meng, Anna Rumshisky
Solving Math Word Problems with Double-Decoder Transformer. CoRR (2019)
Olga Kovaleva, Alexey Romanov, Anna Rogers, Anna Rumshisky
Revealing the Dark Secrets of BERT. EMNLP/IJCNLP (1) (2019)
Alexey Romanov, Anna Rumshisky, Anna Rogers, David Donahue
Adversarial Decomposition of Text Representation. NAACL-HLT (1) (2019)
Yen-Fu Luo, Weiyi Sun, Anna Rumshisky
MCN: A comprehensive corpus for medical concept normalization. J. Biomed. Informatics 92 (2019)
David Donahue, Vladislav Lialin, Anna Rumshisky
Injecting Hierarchy with U-Net Transformers. CoRR (2019)
Olga Kovaleva, Alexey Romanov, Anna Rogers, Anna Rumshisky
Revealing the Dark Secrets of BERT. CoRR (2019)
Olga Kovaleva, Chaitanya Shivade, Satyananda Kashyap, Karina Kanjaria, Adam Coy, Deddeh Ballah, Yufan Guo, Joy T. Wu, Alexandros Karargyris, David Beymer, Anna Rumshisky, Vandana V. Mukherjee
Visual Dialog for Radiology: Data Curation and FirstSteps. ViGIL@NeurIPS (2019)
David Donahue, Yuanliang Meng, Anna Rumshisky
Memory-Augmented Recurrent Networks for Dialogue Coherence. CoRR (2019)
Anna Rogers, Gregory Smelkov, Anna Rumshisky
NarrativeTime: Dense High-Speed Temporal Annotation on a Timeline. CoRR (2019)
Yuanliang Meng, Anna Rumshisky
Triad-based Neural Network for Coreference Resolution. CoRR (2018)
Anna Rogers, Alexey Romanov, Anna Rumshisky, Svitlana Volkova, Mikhail Gronas, Alex Gribov
RuSentiment: An Enriched Sentiment Analysis Dataset for Social Media in Russian. COLING (2018)
Olga Kovaleva, Anna Rumshisky, Alexey Romanov
Similarity-Based Reconstruction Loss for Meaning Representation. EMNLP (2018)
Yuanliang Meng, Anna Rumshisky
Triad-based Neural Network for Coreference Resolution. COLING (2018)
Anna Rogers, Shashwath Hosur Ananthakrishna, Anna Rumshisky
What's in Your Embedding, And How It Predicts Task Performance. COLING (2018)
Yuanliang Meng, Anna Rumshisky
Context-Aware Neural Model for Temporal Information Extraction. ACL (1) (2018)
Yen-Fu Luo, Weiyi Sun, Anna Rumshisky
A Hybrid Method for Normalization of Medical Concepts in Clinical Narrative. ICHI (2018)
Yuanliang Meng, Anna Rumshisky, Florence R. Sullivan
Automatic Labeling of Problem-Solving Dialogues for Computational Microgenetic Learning Analytics. LREC (2018)
Alexey Romanov, Anna Rumshisky, Anna Rogers, David Donahue
Adversarial Decomposition of Text Representation. CoRR (2018)
Willie Boag, Elena Sergeeva, Saurabh Kulshreshtha, Peter Szolovits, Anna Rumshisky, Tristan Naumann
CliNER 2.0: Accessible and Accurate Clinical Concept Extraction. CoRR (2018)
David Donahue, Anna Rumshisky
Adversarial Text Generation Without Reinforcement Learning. CoRR (2018)
Yuanliang Meng, Anna Rumshisky, Alexey Romanov
Temporal Information Extraction for Question Answering Using Syntactic Dependencies in an LSTM-based Architecture. EMNLP (2017)
Peter Potash, Anna Rumshisky
Towards Debate Automation: a Recurrent Model for Predicting Debate Winners. EMNLP (2017)
Alexey Romanov, Anna Rumshisky
Forced to Learn: Discovering Disentangled Representations Without Exhaustive Labels. CoRR (2017)
Peter Potash, Robin Bhattacharya, Anna Rumshisky
Length, Interchangeability, and External Knowledge: Observations from Predicting Argument Convincingness. IJCNLP(1) (2017)
Peter Potash, Alexey Romanov, Anna Rumshisky
Here's My Point: Joint Pointer Architecture for Argument Mining. EMNLP (2017)
Yuanliang Meng, Anna Rumshisky, Alexey Romanov
Temporal Information Extraction for Question Answering Using Syntactic Dependencies in an LSTM-based Architecture. CoRR (2017)
David Donahue, Alexey Romanov, Anna Rumshisky
HumorHawk at SemEval-2017 Task 6: Mixing Meaning and Sound for Humor Recognition. SemEval@ACL (2017)
Anna Rumshisky, Mikhail Gronas, Peter Potash, Mikhail Dubov, Alexey Romanov, Saurabh Kulshreshtha, Alex Gribov
Combining Network and Language Indicators for Tracking Conflict Intensity. SocInfo (2) (2017)
Peter Potash, Alexey Romanov, Anna Rumshisky, Mikhail Gronas
Tracking Bias in News Sources Using Social Media: the Russia-Ukraine Maidan Crisis of 2013-2014. NLPmJ@EMNLP (2017)
Peter Potash, Alexey Romanov, Anna Rumshisky
SemEval-2017 Task 6: #HashtagWars: Learning a Sense of Humor. SemEval@ACL (2017)
Alexey Romanov, Anna Rumshisky
Forced to Learn: Discovering Disentangled Representations Without Exhaustive Labels. ICLR (Workshop) (2017)
William Boag, Renan Campos, Kate Saenko, Anna Rumshisky
MUTT: Metric Unit TesTing for Language Generation Tasks. ACL (1) (2016)
Peter Potash, William Boag, Alexey Romanov, Vasili Ramanishka, Anna Rumshisky
SimiHawk at SemEval-2016 Task 1: A Deep Ensemble System for Semantic Textual Similarity. SemEval@NAACL-HLT (2016)
Peter Potash, Anna Rumshisky
Recommender System Incorporating User Personality Profile through Analysis of Written Reviews. EMPIRE@RecSys (2016)
Yen-Fu Luo, Anna Rumshisky
Interpretable Topic Features for Post-ICU Mortality Prediction. AMIA (2016)
Peter Potash, Alexey Romanov, Anna Rumshisky
#HashtagWars: Learning a Sense of Humor. CoRR (2016)
Peter Potash, Alexey Romanov, Anna Rumshisky
Here's My Point: Argumentation Mining with Pointer Networks. CoRR (2016)
Peter Potash, Alexey Romanov, Anna Rumshisky
Evaluating Creative Language Generation: The Case of Rap Lyric Ghostwriting. CoRR (2016)
William Boag, Peter Potash, Anna Rumshisky
TwitterHawk: A Feature Bucket Based Approach to Sentiment Analysis. SemEval@NAACL-HLT (2015)
Weiyi Sun, Anna Rumshisky, Özlem Uzuner
Normalization of relative and incomplete temporal expressions in clinical narratives. J. Am. Medical Informatics Assoc. 22 (5) (2015)
Kai Zheng, V. G. Vinod Vydiswaran, Yang Liu, Yue Wang, Amber Stubbs, Özlem Uzuner, Anupama E. Gururaj, Samuel Bayer, John S. Aberdeen, Anna Rumshisky, Serguei Pakhomov, Hongfang Liu, Hua Xu
Ease of adoption of clinical natural language processing software: An evaluation of five systems. J. Biomed. Informatics 58 (2015)
Peter Potash, Alexey Romanov, Anna Rumshisky
GhostWriter: Using an LSTM for Automatic Rap Lyric Generation. EMNLP (2015)
Yen-Fu Luo, Anna Rumshisky, Mikhail Gronas
Catching the Red Priest: Using Historical Editions of Encyclopaedia Britannica to Track the Evolution of Reputations. LaTeCH@ACL (2015)
Weiyi Sun, Anna Rumshisky, Özlem Uzuner
Normalization of Relative and Incomplete Temporal Expressions in Clinical Narratives. CoRR (2015)
Marzyeh Ghassemi, Tristan Naumann, Finale Doshi-Velez, Nicole Brimmer, Rohit Joshi, Anna Rumshisky, Peter Szolovits
Unfolding physiological state: mortality modelling in intensive care units. KDD (2014)
Rachel Chasin, Anna Rumshisky, Özlem Uzuner, Peter Szolovits
Research and applications: Word sense disambiguation in the clinical domain: a comparison of knowledge-rich and knowledge-poor unsupervised methods. J. Am. Medical Informatics Assoc. 21 (5) (2014)
Weiyi Sun, Anna Rumshisky, Özlem Uzuner
Annotating temporal information in clinical narratives. J. Biomed. Informatics 46 (6) (2013)
Weiyi Sun, Anna Rumshisky, Özlem Uzuner
Evaluating temporal relations in clinical text: 2012 i2b2 Challenge. J. Am. Medical Informatics Assoc. 20 (5) (2013)
Weiyi Sun, Anna Rumshisky, Özlem Uzuner
Temporal reasoning over clinical text: the state of the art. J. Am. Medical Informatics Assoc. 20 (5) (2013)
Anna Rumshisky, Rachel Chasin, Özlem Uzuner, Peter Szolovits
Using UMLS for Word Sense Disambiguation in Clinical Notes. AMIA (2012)
Anna Rumshisky, Nick Botchan, Sophie Kushkuley, James Pustejovsky
Word Sense Inventories by Non-Experts. LREC (2012)
Sergey Bratus, Anna Rumshisky, Alexy Khrabrov, Rajendra Magar, Paul Thompson
Domain-specific entity extraction from noisy, unstructured data using ontology-guided search. Int. J. Document Anal. Recognit. 14 (2) (2011)
Anna Rumshisky
Crowdsourcing Word Sense Definition. Linguistic Annotation Workshop (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Anna Rumshisky