Swabha Swayamdipta

43 papers · 2014–2025 · 12 conferences · across top CS/AI conferences

Achievements

🏃 Academic Marathon (11) 🗺️ Taxonomy Completionist (72) 🌈 Renaissance Researcher (6) 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (11) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (12) 🤝 Dynamic Duo (18) 🔥 Unstoppable (8) 💎 Century Club (43) 📈 Trend Setter 🚀 Conference Pioneer ⚡ Prolific Year (6) 🗃️ Keyword Collector (176)

Conferences

EMNLP (16) ACL (10) NAACL (6) ICLR (2) ICML (2) COLING (1) CONLL (1) EACL (1) IJCNLP (1) JMLR (1) NIPS (1) SEMEVAL (1)

Top co-authors

Yejin Choi (18) Noah A. Smith (14) Maarten Sap (5) Chandra Bhagavatula (5) Alisa Liu (4) Xiang Ren (4) Chris Dyer (4) Ximing Lu (3) Doug Downey (3) Ronan Le Bras (3)

Research topics

Keywords

language model (11) text generation (6) text classification (6) large language model (6) data augmentation (5) natural language inference (4) dataset bia (3) toxic language detection (3) semantic role labeling (3) few-shot learning (2) generative model (2) low-resource learning (2) knowledge distillation (2) sentiment analysis (2) out-of-distribution generalization (2) semantic parsing (2) transfer learning (2) explanation generation (2) question answering (2) benchmark evaluation (2)

Papers

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

OATH-Frames: Characterizing Online Attitudes Towards Homelessness with LLM Assistants EMNLP 2024

NeuroComparatives: Neuro-Symbolic Distillation of Comparative Knowledge NAACL 2024

Closing the Curious Case of Neural Text Degeneration ICLR 2024

Annotating FrameNet via Structure-Conditioned Language Generation ACL 2024

Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression EMNLP 2024

Compare without Despair: Reliable Preference Evaluation with Generation Separability EMNLP 2024

COBRA Frames: Contextual Reasoning about Effects and Harms of Offensive Statements ACL 2023

MAUVE Scores for Generative Models: Theory and Practice JMLR 2023

REV: Information-Theoretic Evaluation of Free-Text Rationales ACL 2023

I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation ACL 2023

We’re Afraid Language Models Aren’t Modeling Ambiguity EMNLP 2023

NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation EMNLP 2022

Investigating the Benefits of Free-Form Rationales EMNLP 2022

WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation EMNLP 2022

Understanding Dataset Difficulty with $\mathcal{V}$-Usable Information ICML 2022

Reframing Human-AI Collaboration for Generating Free-Text Explanations NAACL 2022

Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection NAACL 2022

MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers NIPS 2021

Challenges in Automated Debiasing for Toxic Language Detection EACL 2021

DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts ACL 2021

DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts IJCNLP 2021

Contrastive Explanations for Model Interpretability EMNLP 2021

Sister Help: Data Augmentation for Frame-Semantic Role Labeling EMNLP 2021

Adversarial Filters of Dataset Biases ICML 2020

The Right Tool for the Job: Matching Model and Instance Complexities ACL 2020

Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics EMNLP 2020

Generative Data Augmentation for Commonsense Reasoning EMNLP 2020

Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks 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

Syntactic Scaffolds for Semantic Structures EMNLP 2018

Frame Semantics across Languages: Towards a Multilingual FrameNet COLING 2018

Learning Joint Semantic Parsers from Disjoint Data NAACL 2018

Annotation Artifacts in Natural Language Inference Data NAACL 2018

Multi-Mention Learning for Reading Comprehension with Neural Cascades ICLR 2018

Polyglot Semantic Role Labeling ACL 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