2023
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LEXPLAIN: Improving Model Explanations via Lexicon Supervision
Orevaoghene Ahia, Hila Gonen, Vidhisha Balachandran, Yulia Tsvetkov and Noah A. Smith.
Proc. StarSEM.
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Minding Language Models' (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker
Melanie Sclar, Sachin Kumar, Peter West, Alane Suhr, Yejin Choi and Yulia Tsvetkov.
Proc. ACL.
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From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models
Shangbin Feng, Chan Young Park, Yuhan Liu and Yulia Tsvetkov.
Proc. ACL.
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SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control
Xiaochuang Han, Sachin Kumar and Yulia Tsvetkov.
Proc. ACL.
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KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document Understanding
Shangbin Feng, Zhaoxuan Tan, Wenqian Zhang, Zhenyu Lei and Yulia Tsvetkov.
Proc. ACL.
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Understanding In-Context Learning via Supportive Pretraining Data
Xiaochuang Han, Daniel Simig, Todor Mihaylov, Yulia Tsvetkov, Asli Celikyilmaz and Tianlu Wang.
Proc. ACL.
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On the Blind Spots of Model-Based Evaluation Metrics for Text Generation
Tianxing He, Jingyu Zhang, Tianle Wang, Sachin Kumar, Kyunghyun Cho, James Glass and Yulia Tsvetkov.
Proc. ACL.
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Examining Risks of Racial Biases in NLP Tools for Child Protective Services
Anjalie Field, Amanda Coston, Nupoor Gandhi, Alexandra Chouldechova, Emily Putnam-Hornstein, David Steier and Yulia Tsvetkov.
Proc. FAccT.
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Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey
Sachin Kumar, Vidhisha Balachandran, Lucille Njoo, Antonios Anastasopoulos and Yulia Tsvetkov.
Proc. EACL.
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Unsupervised Keyphrase Extraction via Interpretable Neural Networks
Rishabh Joshi, Vidhisha Balachandran, Emily Saldanha, Maria Glenski, Svitlana Volkova and Yulia Tsvetkov.
Proc. EACL.
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2022
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Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling
Vidhisha Balachandran, Hannaneh Hajishirzi, William Cohen and Yulia Tsvetkov.
Proc. EMNLP.
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Referee: Reference-Free Sentence Summarization with Sharper Controllability through Symbolic Knowledge Distillation
Melanie Sclar, Peter West, Sachin Kumar, Yulia Tsvetkov and Yejin Choi.
Proc. EMNLP.
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Gradient-based Constrained Sampling from Language Models
Sachin Kumar, Biswajit Paria and Yulia Tsvetkov.
Proc. EMNLP.
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Gendered Mental Health Stigma in Masked Language Models
Wanyin Lin, Lucille Njoo, Anjalie Field, Ashish Sharma, Katharina Reinecke, Tim Althoff and Yulia Tsvetkov.
Proc. EMNLP.
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Challenges and Opportunities in Information Manipulation Detection: An Examination of Wartime Russian Media
Chan Young Park, Julia Mendelsohn, Anjalie Field and Yulia Tsvetkov.
Proc. Findings of EMNLP.
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Threat Scenarios and Best Practices to Detect Neural Fake News
Artidoro Pagnoni, Martin Graciarena, and Yulia Tsvetkov.
Proc. COLING.
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An Analysis of Emotions and the Prominence of Positivity in #BlackLivesMatter Tweets
Anjalie Field, Chan Young Park, Antonio Theophilo, Jamelle Watson-Daniels, and Yulia Tsvetkov.
Proc. PNAS.
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Speaker Information Can Guide Models to Better Inductive Biases: A Case Study On Predicting Code-Switching
Alissa Ostapenko, Shuly Wintner, Melinda Fricke, and Yulia Tsvetkov.
Proc. ACL.
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Controlled Analyses of Social Biases in Wikipedia Bios
Anjalie Field, Chan Young Park, Kevin Z. Lin, and Yulia Tsvetkov.
Proc. TheWebConf.
[demo]
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SimVLM: Simple Visual Language Model Pretraining with Weak Supervision
Zirui Wang, Jiahui Yu, Adams Wei Yu, Zihang Dai, Yulia Tsvetkov, and Yuan Cao.
Proc. ICLR.
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2021
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Controlled Text Generation as Continuous Optimization with Multiple Constraints
Sachin Kumar, Eric Malmi, Aliaksei Severyn, and Yulia Tsvetkov.
Proc. NeurIPS.
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SelfExplain: A Self-Explaining Architecture for Neural Text Classifiers
Dheeraj Rajagopal, Vidhisha Balachandran, Eduard Hovy, and Yulia Tsvetkov.
Proc. EMNLP.
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Evaluating the Morphosyntactic Well-formedness of Generated Texts
Adithya Pratapa, Antonios Anastasopoulos, Shruti Rijhwani, Aditi Chaudhary, David R. Mortensen, Graham Neubig, and Yulia Tsvetkov.
Proc. EMNLP.
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Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates
Xiaochuang Han and Yulia Tsvetkov.
Proc. Findings of EMNLP.
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Detecting Community Sensitive Norm Violations in Online Conversations
Chan Young Park, Julia Mendelsohn, Karthik Radhakrishnan, Kinjal Jain, Tushar Kanakagiri, David Jurgens, and Yulia Tsvetkov.
Proc. Findings of EMNLP.
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Efficient Test Time Adapter Ensembling for Low-resource Language Varieties
Xinyi Wang, Yulia Tsvetkov, Sebastian Ruder, and Graham Neubig.
Proc. Findings of EMNLP.
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Simple and Efficient ways to Improve REALM
Vidhisha Balachandran, Ashish Vaswani, Yulia Tsvetkov, and Niki Parmar.
Proc. MRQA.
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Improving the Diversity of Unsupervised Paraphrasing with Embedding Outputs
Monisha Jegadeesan, Sachin Kumar, John Wieting, and Yulia Tsvetkov.
Proc. MRL.
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Improving Span Representation for Domain-adapted Coreference Resolution
Nupoor Gandhi, Anjalie Field, and Yulia Tsvetkov.
Proc. CRAC.
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A Survey of Race, Racism, and Anti-Racism in NLP
Anjalie Field, Su Lin Blodgett, Zeerak Waseem, and Yulia Tsvetkov.
Proc. ACL.
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Machine Translation into Low-resource Language Varieties
Sachin Kumar, Antonios Anastasopoulos, Shuly Wintner, and Yulia Tsvetkov.
Proc. ACL.
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Synthesizing Adversarial Negative Responses for Robust Response Ranking and Evaluation
Prakhar Gupta, Yulia Tsvetkov, and Jeffrey P. Bigham.
Proc. Findings of ACL.
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Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics
Artidoro Pagnoni, Vidhisha Balachandran, and Yulia Tsvetkov.
Proc. NAACL-HLT.
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Controlling Dialogue Generation with Semantic Exemplars
Prakhar Gupta, Jeffrey P. Bigham, Yulia Tsvetkov, and Amy Pavel.
Proc. NAACL-HLT.
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DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues
Rishabh Joshi, Vidhisha Balachandran, Shikhar Vashishth, Alan Black, and Yulia Tsvetkov.
Proc. ICLR.
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Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models
Zirui Wang, Yulia Tsvetkov, Orhan Firat, and Yuan Cao.
Proc. ICLR.
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StructSum: Incorporating Latent and Explicit Sentence Dependencies for Single Document Summarization
Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime Carbonell, and Yulia Tsvetkov.
Proc. EACL.
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Cross-Cultural Similarity Features for Cross-Lingual Transfer Learning of Pragmatically Motivated Tasks
Jimin Sun, Hwijeen Ahn, Chan Young Park, Yulia Tsvetkov, and David R. Mortensen.
Proc. EACL.
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Multilingual Contextual Affective Analysis of LGBT People Portrayals in Wikipedia
Chan Young Park, Xinru Yan, Anjalie Field, and Yulia Tsvetkov.
Proc. ICWSM.
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An Exploration of Data Augmentation Techniques for Improving English to Tigrinya Translation
Lidia Kidane, Sachin Kumar, and Yulia Tsvetkov.
Proc. AfricaNLP.
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2020
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End-to-End Differentiable GANs for Text Generation
Sachin Kumar and Yulia Tsvetkov.
Proc. ICBINB.
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Understanding Linguistic Accommodation in Code-Switched Human-Machine Dialogues
Tanmay Parekh, Emily Ahn, Yulia Tsvetkov, and Alan W. Black.
Proc. CoNLL.
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Automatic Extraction of Rules Governing Morphological Agreement
Aditi Chaudhary, Antonios Anastasopoulos, Adithya Pratapa, David R. Mortensen, Zaid Sheikh, Yulia Tsvetkov, and Graham Neubig.
Proc. EMNLP.
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Unsupervised Discovery of Implicit Gender Bias
Anjalie Field and Yulia Tsvetkov.
Proc. EMNLP.
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On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment
Zirui Wang, Zachary C. Lipton, and Yulia Tsvetkov.
Proc. EMNLP.
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Fortifying Toxic Speech Detectors Against Veiled Toxicity
Xianchuang Han and Yulia Tsvetkov.
Proc. EMNLP.
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A Computational Analysis of Polarization onIndian and Pakistani Social Media
Aman Tyagi, Anjalie Field, Priyank Lathwal, Yulia Tsvetkov, and Kathleen M. Carley.
Proc. SocInfo.
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LTIatCMU at SemEval-2020 Task 11: Incorporating Multi-Level Features for Multi-Granular Propaganda Span Identification
Sopan Khosla, Rishabh Joshi, Ritam Dutt, Alan W. Black, and Yulia Tsvetkov.
Proc. SemEval.
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A framework for the computational linguistic analysis of dehumanization
Julia Mendelsohn, Yulia Tsvetkov, and Dan Jurafsky.
Frontiers in Artificial Intelligence.
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Demoting Racial Bias in Hate Speech Detection
Mengzhou Xia, Anjalie Field, and Yulia Tsvetkov.
Proc. SocialNLP.
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A Generative Approach to Titling and Clustering Wikipedia Sections
Anjalie Field, Sascha Rothe, Simon Baumgartner, Cong Yu, and Abe Ittycheriah.
Proc. WNGT.
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A Deep Reinforced Model for Cross-Lingual Summarization with Bilingual Semantic Similarity Reward
Zi-Yi Dou, Sachin Kumar, and Yulia Tsvetkov.
Proc. WNGT.
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Balancing Training for Multilingual Neural Machine Translation
Xinyi Wang, Yulia Tsvetkov, and Graham Neubig.
Proc. ACL.
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Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions
Xiaochuang Han, Byron C. Wallace, and Yulia Tsvetkov.
Proc. ACL.
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Stress and Burnout in Open Source: Toward Finding, Understanding, and Mitigating Unhealthy Interactions
Naveen Raman, Minxuan Cao, Yulia Tsvetkov, Christian Kästner, and Bogdan Vasilescu.
International Conference on Software Engineering -- New Ideas Track (ICSE-NIER).
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Augmenting Non-Collaborative Dialog Systems with Explicit Semantic and Strategic Dialog History
Yiheng Zhou, Yulia Tsvetkov, Alan W Black, and Zhou Yu.
Proc. ICLR.
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What Code-Switching Strategies are Effective in Dialog Systems?
Emily Ahn, Cecilia Jimenez, Yulia Tsvetkov, and Alan W Black.
Proc. SCiL.
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Where New Words Are Born: Distributional Semantic Analysis of Neologisms and Their Semantic Neighborhoods
Maria Ryskina, Ella Rabinovich, Taylor Berg-Kirkpatrick, David Mortensen, and Yulia Tsvetkov.
Proc. SCiL.
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2019
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Topics to Avoid: Demoting Latent Confounds in Text Classification
Sachin Kumar, Shuly Wintner, Noah A. Smith, and Yulia Tsvetkov.
Proc. EMNLP.
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Finding Microaggressions in the Wild: A Case for Locating Elusive Phenomena in Social Media Posts
Luke M. Breitfeller, Emily Ahn, David Jurgens, and Yulia Tsvetkov.
Proc. EMNLP.
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Learning to Generate Word- and Phrase-Embeddings for Efficient Phrase-Based Neural Machine Translation
Chan Young Park and Yulia Tsvetkov.
Proc. WNGT.
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A Margin-based Loss with Synthetic Negative Samples for Continuous-output Machine Translation
Gayatri Bhat, Sachin Kumar, and Yulia Tsvetkov.
Proc. WNGT.
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A Dynamic Strategy Coach for Effective Negotiation
Yiheng Zhou, He He, Alan W Black, and Yulia Tsvetkov.
Proc. SIGdial.
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Entity-Centric Contextual Affective Analysis
Anjalie Field and Yulia Tsvetkov.
Proc. ACL.
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CMU-01 at the SIGMORPHON 2019 Shared Task on Crosslinguality and Context in Morphology
Aditi Chaudhary, Elizabeth Salesky, Gayatri Bhat, David R. Mortensen, Jaime G. Carbonell, and Yulia Tsvetkov.
Proc. SIGMORPHON.
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Quantifying Social Biases in Contextual Word Representations
Keita Kurita, Nidhi Vyas, Ayush Pareek, Alan W Black, and Yulia Tsvetkov.
Proc. of Workshop on Gender Bias for NLP.
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Contextual Affective Analysis: A Case Study of People Portrayals in Online #MeToo Stories
Anjalie Field, Gayatri Bhat, and Yulia Tsvetkov.
Proc. ICWSM.
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Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings
Thomas Manzini, Yao Chong, Yulia Tsvetkov, and Alan W Black.
Proc. NAACL.
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Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs
Sachin Kumar and Yulia Tsvetkov.
Proc. ICLR.
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2018
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Framing and Agenda-setting in Russian News: a Computational Analysis of Intricate Political Strategies
Anjalie Field, Doron Kliger, Shuly Wintner, Jennifer Pan, Dan Jurafsky, and Yulia Tsvetkov.
Proc. EMNLP.
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RtGender: A corpus for studying differential responses to gender
Rob Voigt, David Jurgens, Vinodkumar Prabhakaran, Dan Jurafsky, and Yulia Tsvetkov.
Proc. LREC'18.
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Native Language Cognate Effects on Second Language Lexical Choice
Ella Rabinovich, Yulia Tsvetkov, and Shuly Wintner.
TACL.
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Style Transfer Through Back-Translation
Shrimai Prabhumoye, Yulia Tsvetkov, Ruslan Salakhutdinov, and Alan W Black.
Proc. ACL.
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