Swabha Swayamdipta
44 papers · 2014–2026 · 11 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (68) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Gold 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Topic Evolution
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Dynamic Duo
(17)
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Keyword Champion
(2)
🌈
Renaissance Researcher
(5)
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Unstoppable · Bronze
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Prolific Year · Productive
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Conference Pioneer
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Century Club · Bronze
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Keyword Collector
(185)
Venues
Top co-authors
Research topics
Machine Learning
(29)
Natural Language Processing
(27)
Artificial Intelligence
(22)
Core AI
(20)
Deep Learning
(18)
Applications
(16)
Application Areas
(14)
Learning Types · Machine Learning
(9)
Core Methods
(8)
Learning Types · Deep Learning
(8)
Generation
(7)
Models
(7)
Optimization & Theory
(7)
Understanding
(6)
Interdisciplinary
(5)
Keywords
language model
(12)
text generation
(7)
text classification
(6)
large language model
(6)
data augmentation
(5)
natural language inference
(4)
toxic language detection
(3)
dataset bia
(3)
semantic role labeling
(3)
generative model
(2)
multi-task learning
(2)
out-of-distribution generalization
(2)
few-shot learning
(2)
model interpretability
(2)
explanation generation
(2)
sentiment analysis
(2)
semantic parsing
(2)
transfer learning
(2)
question answering
(2)
knowledge distillation
(2)
Papers
Believing without Seeing: Quality Scores for Contextualizing Vision-Language Model Explanations
ACL 2026
Uncovering Intervention Opportunities for Suicide Prevention with Language Model Assistants
ACL 2026
ELI-Why: Evaluating the Pedagogical Utility of Language Model Explanations
ACL 2025
Evaluating Evaluation Metrics – The Mirage of Hallucination Detection
EMNLP 2025
Improving Language Model Personas via Rationalization with Psychological Scaffolds
EMNLP 2025
Robust Data Watermarking in Language Models by Injecting Fictitious Knowledge
ACL 2025
Annotating FrameNet via Structure-Conditioned Language Generation
ACL 2024
Closing the Curious Case of Neural Text Degeneration
ICLR 2024
Compare without Despair: Reliable Preference Evaluation with Generation Separability
EMNLP 2024
NeuroComparatives: Neuro-Symbolic Distillation of Comparative Knowledge
NAACL 2024
OATH-Frames: Characterizing Online Attitudes Towards Homelessness with LLM Assistants
EMNLP 2024
Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression
EMNLP 2024
COBRA Frames: Contextual Reasoning about Effects and Harms of Offensive Statements
ACL 2023
I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation
ACL 2023
MAUVE Scores for Generative Models: Theory and Practice
JMLR 2023
REV: Information-Theoretic Evaluation of Free-Text Rationales
ACL 2023
We’re Afraid Language Models Aren’t Modeling Ambiguity
EMNLP 2023
Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection
NAACL 2022
Investigating the Benefits of Free-Form Rationales
EMNLP 2022
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation
EMNLP 2022
Reframing Human-AI Collaboration for Generating Free-Text Explanations
NAACL 2022
Understanding Dataset Difficulty with V-Usable Information
ICML 2022
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation
EMNLP 2022
Challenges in Automated Debiasing for Toxic Language Detection
EACL 2021
Contrastive Explanations for Model Interpretability
EMNLP 2021
DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts
ACL 2021
MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers
NeurIPS 2021
Sister Help: Data Augmentation for Frame-Semantic Role Labeling
EMNLP 2021
Adversarial Filters of Dataset Biases
ICML 2020
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics
EMNLP 2020
Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks
ACL 2020
Generative Data Augmentation for Commonsense Reasoning
EMNLP 2020
The Right Tool for the Job: Matching Model and Instance Complexities
ACL 2020
Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019)
EMNLP 2019
Transfer Learning in Natural Language Processing
NAACL 2019
Annotation Artifacts in Natural Language Inference Data
NAACL 2018
Frame Semantics across Languages: Towards a Multilingual FrameNet
COLING 2018
Learning Joint Semantic Parsers from Disjoint Data
NAACL 2018
Multi-Mention Learning for Reading Comprehension with Neural Cascades
ICLR 2018
Polyglot Semantic Role Labeling
ACL 2018
Syntactic Scaffolds for Semantic Structures
EMNLP 2018
Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs
CoNLL 2016
A Dependency Parser for Tweets
EMNLP 2014
CMU: Arc-Factored, Discriminative Semantic Dependency Parsing
SemEval 2014