← Authors

Anna Rumshisky

52 papers · 2004–2025 · 11 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (21) 🐝 Cross-Pollinator (9) 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (84) πŸ† Keyword Champion (2) 🀝 Dynamic Duo (13) ⚑ Prolific Year (7) πŸ”₯ Unstoppable (11) πŸ’Ž Century Club (52) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (194) ❓ 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

Anna Rogers (13) Alexey Romanov (13) Olga Kovaleva (9) Vladislav Lialin (8) Peter Potash (8) Rahul Gupta (6) Namrata Shivagunde (5) Saurabh Kulshreshtha (4) Manoj Kumar (4) William Boag (3)

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
What’s 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
What’s 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
Here’s 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