Anna Rumshisky
52 papers · 2004–2025 · 11 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (21) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (11) π Cross-Pollinator (9)
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Cross-Pollinator
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Renaissance Researcher
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Taxonomy Completionist
(84)
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Keyword Champion
(2)
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Dynamic Duo
(13)
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Prolific Year
(7)
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Unstoppable
(11)
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Century Club
(52)
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Trend Setter
ποΈ
Keyword Collector
(194)
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The Questioner
(2)
Conferences
NAACL (11)
ACL (10)
EMNLP (10)
COLING (7)
SEMEVAL (5)
IJCNLP (4)
AAAI (1)
AACL (1)
EACL (1)
ICLR (1)
INTERSPEECH (1)
Top co-authors
Keywords
question answering
(5)
intent classification
(5)
named entity recognition
(4)
text classification
(4)
natural language understanding
(3)
in-context learning
(3)
word embedding
(3)
large language model
(3)
language model
(3)
zero-shot learning
(2)
question generation
(2)
synthetic data generation
(2)
sentiment analysis
(2)
natural language processing
(2)
domain generalization
(2)
representation learning
(2)
text generation
(2)
data augmentation
(2)
few-shot learning
(2)
style transfer
(2)
Papers
Diverse, not Short: A Length-Controlled Data Selection Strategy for Improving Response Diversity of Language Models
EMNLP 2025
MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs
NAACL 2025
On Localizing and Deleting Toxic Memories in Large Language Models
NAACL 2025
NarrativeTime: Dense Temporal Annotation on a Timeline
COLING 2024
Emergent Abilities in Reduced-Scale Generative Language Models
NAACL 2024
ReLoRA: High-Rank Training Through Low-Rank Updates
ICLR 2024
Prompt Perturbation Consistency Learning for Robust Language Models
EACL 2024
Deconstructing In-Context Learning: Understanding Prompts via Corruption
COLING 2024
Larger Probes Tell a Different Story: Extending Psycholinguistic Datasets Via In-Context Learning
EMNLP 2023
Honey, I Shrunk the Language: Language Model Behavior at Reduced Scale.
ACL 2023
Recipes for Sequential Pre-training of Multilingual Encoder and Seq2Seq Models
ACL 2023
Reasoning Circuits: Few-shot Multi-hop Question Generation with Structured Rationales
ACL 2023
Sampling bias in NLU models: Impact and Mitigation
INTERSPEECH 2023
Chasing the Tail with Domain Generalization: A Case Study on Frequency-Enriched Datasets
AACL 2022
Down and Across: Introducing Crossword-Solving as a New NLP Benchmark
ACL 2022
Life after BERT: What do Other Muppets Understand about Language?
ACL 2022
Learning to Ask Like a Physician
NAACL 2022
Controlled Data Generation via Insertion Operations for NLU
NAACL 2022
Federated Learning with Noisy User Feedback
NAACL 2022
Chasing the Tail with Domain Generalization: A Case Study on Frequency-Enriched Datasets
IJCNLP 2022
BERT Busters: Outlier Dimensions that Disrupt Transformers
IJCNLP 2021
BERT Busters: Outlier Dimensions that Disrupt Transformers
ACL 2021
Getting Closer to AI Complete Question Answering: A Set of Prerequisite Real Tasks
AAAI 2020
When BERT Plays the Lottery, All Tickets Are Winning
EMNLP 2020
Towards Visual Dialog for Radiology
ACL 2020
A guide to the dataset explosion in QA, NLI, and commonsense reasoning
COLING 2020
Proceedings of the 2nd Clinical Natural Language Processing Workshop
NAACL 2019
Revealing the Dark Secrets of BERT
EMNLP 2019
Calls to Action on Social Media: Detection, Social Impact, and Censorship Potential
EMNLP 2019
Revealing the Dark Secrets of BERT
IJCNLP 2019
Adversarial Decomposition of Text Representation
NAACL 2019
Whatβs in a Name? Reducing Bias in Bios without Access to Protected Attributes
NAACL 2019
Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for NLP
NAACL 2019
Whatβs in Your Embedding, And How It Predicts Task Performance
COLING 2018
Evaluating Creative Language Generation: The Case of Rap Lyric Ghostwriting
NAACL 2018
RuSentiment: An Enriched Sentiment Analysis Dataset for Social Media in Russian
COLING 2018
Triad-based Neural Network for Coreference Resolution
COLING 2018
Context-Aware Neural Model for Temporal Information Extraction
ACL 2018
Similarity-Based Reconstruction Loss for Meaning Representation
EMNLP 2018
Hereβs My Point: Joint Pointer Architecture for Argument Mining
EMNLP 2017
Temporal Information Extraction for Question Answering Using Syntactic Dependencies in an LSTM-based Architecture
EMNLP 2017
SemEval-2017 Task 6: #HashtagWars: Learning a Sense of Humor
SEMEVAL 2017
HumorHawk at SemEval-2017 Task 6: Mixing Meaning and Sound for Humor Recognition
SEMEVAL 2017
Towards Debate Automation: a Recurrent Model for Predicting Debate Winners
EMNLP 2017
Length, Interchangeability, and External Knowledge: Observations from Predicting Argument Convincingness
IJCNLP 2017
MUTT: Metric Unit TesTing for Language Generation Tasks
ACL 2016
SimiHawk at SemEval-2016 Task 1: A Deep Ensemble System for Semantic Textual Similarity
SEMEVAL 2016
GhostWriter: Using an LSTM for Automatic Rap Lyric Generation
EMNLP 2015
TwitterHawk: A Feature Bucket Based Approach to Sentiment Analysis
SEMEVAL 2015
SemEval-2010 Task 7: Argument Selection and Coercion
SEMEVAL 2010
Automating Temporal Annotation with TARSQI
ACL 2005
Automated Induction of Sense in Context
COLING 2004