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Employment (3)

University of Southern California: Los Angeles, CA, US

2022-08-16 to present | Assistant Professor (Computer Science)
Employment
Source: Self-asserted source
Swabha Swayamdipta

Allen Institute: Seattle, Washington, US

2022-07-31
Employment
Source: Self-asserted source
Swabha Swayamdipta

Google Inc New York: New York, NY, US

2017 to 2017 | Research Intern
Employment
Source: Self-asserted source
Swabha Swayamdipta

Education and qualifications (2)

Carnegie Mellon University: Pittsburgh, PA, US

2019 | PhD Student (Language Technologies Institute)
Qualification
Source: Self-asserted source
Swabha Swayamdipta

Columbia University: New York, NY, US

2011 to 2012 | Masters (Computer Science)
Education
Source: Self-asserted source
Swabha Swayamdipta

Works (50 of 51)

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Page 1 of 2

Closing the Curious Case of Neural Text Degeneration

The Twelfth International Conference on Learning Representations
2024 | Conference paper
URI:

https://openreview.net/forum?id=dONpC9GL1o
Contributors: Matthew Finlayson; John Hewitt; Alexander Koller; Swabha Swayamdipta; Ashish Sabharwal
Source: Self-asserted source
Swabha Swayamdipta

Crowd-Calibrator: Can Annotator Disagreement Inform Calibration in Subjective Tasks?

First Conference on Language Modeling
2024 | Conference paper
URI:

https://openreview.net/forum?id=VWWzO3ewMS
Contributors: Urja Khurana; Eric Nalisnick; Antske Fokkens; Swabha Swayamdipta
Source: Self-asserted source
Swabha Swayamdipta

Does Video Summarization Require Videos? Quantifying the Effectiveness of Language in Video Summarization

Proc. of ICASSP (To Appear)
2024 | Conference paper
URI:

https://arxiv.org/abs/2309.09405
Contributors: Yoonsoo Nam; Adam Lehavi; Daniel Yang; Digbalay Bose; Swabha Swayamdipta; Shrikanth Narayanan
Source: Self-asserted source
Swabha Swayamdipta
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Generative Explanations for Program Synthesizers

2024 | Other
URI:

https://arxiv.org/abs/2403.03429
Contributors: Amirmohammad Nazari; Souti Chattopadhyay; Swabha Swayamdipta; Mukund Raghothaman
Source: Self-asserted source
Swabha Swayamdipta
grade
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Logits of API-Protected LLMs Leak Proprietary Information

First Conference on Language Modeling
2024 | Conference paper
URI:

https://openreview.net/forum?id=oRcYFm8vyB
Contributors: Matthew Finlayson; Xiang Ren; Swabha Swayamdipta
Source: Self-asserted source
Swabha Swayamdipta

NeuroComparatives: Neuro-Symbolic Distillation of Comparative Knowledge

Findings. of NAACL (To Appear)
2024 | Conference paper
URI:

https://arxiv.org/abs/2305.04978
Contributors: Phillip Howard; Junlin Wang; Vasudev Lal; Gadi Singer; Yejin Choi; Swabha Swayamdipta
Source: Self-asserted source
Swabha Swayamdipta
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Proceedings of the 1st Workshop on Uncertainty-Aware NLP (UncertaiNLP 2024)

Proceedings of the 1st Workshop on Uncertainty-Aware NLP (UncertaiNLP 2024)
2024 | Conference paper
URI:

https://aclanthology.org/2024.uncertainlp-1.0/
Contributors: Vázquez, Raúl; Celikkanat, Hande; Ulmer, Dennis; Tiedemann, Jörg; Swayamdipta, Swabha; Aziz, Wilker; Plank, Barbara; Baan, Joris; de Marneffe, Marie-Catherine
Source: Self-asserted source
Swabha Swayamdipta

Compare without Despair: Reliable Preference Evaluation with Generation Separability

Findings of the Association for Computational Linguistics: EMNLP 2024
2024-11 | Conference paper
URI:

https://aclanthology.org/2024.findings-emnlp.747
Contributors: Ghosh, Sayan and Srinivasan, Tejas and Swayamdipta, Swabha; Al-Onaizan, Yaser and Bansal, Mohit and Chen, Yun-Nung
Source: Self-asserted source
Swabha Swayamdipta

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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
2024-11 | Conference paper
URI:

https://aclanthology.org/2024.emnlp-main.724
Contributors: Ranjit, Jaspreet and Joshi, Brihi and Dorn, Rebecca and Petry, Laura and Koumoundouros, Olga and Bottarini, Jayne and Liu, Peichen and Rice, Eric and Swayamdipta, Swabha; Al-Onaizan, Yaser and Bansal, Mohit and Chen, Yun-Nung
Source: Self-asserted source
Swabha Swayamdipta

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

Findings of the Association for Computational Linguistics: EMNLP 2024
2024-11 | Conference paper
URI:

https://aclanthology.org/2024.findings-emnlp.758
Contributors: Gulati, Aryan and Dong, Xingjian and Hurtado, Carlos and Shekkizhar, Sarath and Swayamdipta, Swabha and Ortega, Antonio; Al-Onaizan, Yaser and Bansal, Mohit and Chen, Yun-Nung
Source: Self-asserted source
Swabha Swayamdipta

Annotating FrameNet via Structure-Conditioned Language Generation

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
2024-08 | Conference paper
DOI: 10.18653/v1/2024.acl-short.63
Contributors: Cui, Xinyue and Swayamdipta, Swabha; Ku, Lun-Wei and Martins, Andre and Srikumar, Vivek
Source: Self-asserted source
Swabha Swayamdipta

NomNom: Explanatory Function Names for Program Synthesizers

2024-04-14 | Conference paper
DOI: 10.1145/3639478.3643529
Contributors: Amirmohammad Nazari; Souti Chattopadhyay; Swabha Swayamdipta; Mukund Raghothaman
Source: check_circle
Crossref

Proceedings of the 1st Workshop on Uncertainty-Aware NLP (UncertaiNLP 2024)

2024-03 | Conference paper
URI:

https://aclanthology.org/2024.uncertainlp-1.0
Contributors: Vázquez, Raúl and Celikkanat, Hande and Ulmer, Dennis and Tiedemann, Jörg and Swayamdipta, Swabha and Aziz, Wilker and Plank, Barbara and Baan, Joris and de Marneffe, Marie-Catherine
Source: Self-asserted source
Swabha Swayamdipta

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

Findings of ACL
2023 | Conference paper
URI:

https://swabhs.com/assets/pdf/papers/cobra.pdf
Contributors: Zhou, Xuhui; Zhu, Hao; Yerukola, Akhila; Davidson, Thomas; Hwang, Jena D.; Swayamdipta, Swabha; Sap, Maarten
Source: Self-asserted source
Swabha Swayamdipta
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I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation

Proc. of ACL
2023 | Conference paper
URI:

https://arxiv.org/abs/2212.09246
Contributors: Chandra Bhagavatula; Jena D. Hwang; Doug Downey; Ronan Le Bras; Ximing Lu; Keisuke Sakaguchi; Swabha Swayamdipta; Peter West; Yejin Choi
Source: Self-asserted source
Swabha Swayamdipta
grade
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MAUVE Scores for Generative Models: Theory and Practice

Journal of Machine Learning Research
2023 | Conference paper
URI:

https://arxiv.org/abs/2212.14578
Contributors: Krishna Pillutla; Lang Liu; John Thickstun; Sean Welleck; Swabha Swayamdipta; Rowan Zellers; Sewoong Oh; Yejin Choi; Zaid Harchaoui
Source: Self-asserted source
Swabha Swayamdipta
grade
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REV: Information-Theoretic Evaluation of Free-Text Rationales

Proc. of ACL
2023 | Conference paper
URI:

https://arxiv.org/abs/2210.04982
Contributors: Hanjie Chen; Faeze Brahman; Xiang Ren; Yangfeng Ji; Yejin Choi; Swabha Swayamdipta
Source: Self-asserted source
Swabha Swayamdipta
grade
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We're Afraid Language Models Aren't Modeling Ambiguity

Proc. of EMNLP
2023 | Conference paper
URI:

https://arxiv.org/abs/2304.14399
Contributors: Alisa Liu; Zhaofeng Wu; Julian Michael; Alane Suhr; Peter West; Alexander Koller; Swabha Swayamdipta; Noah A. Smith; Yejin Choi
Source: Self-asserted source
Swabha Swayamdipta
grade
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Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection

Proc. of NAACL
2022 | Conference paper
URI:

https://arxiv.org/abs/2111.07997
Contributors: Maarten Sap; Swabha Swayamdipta; Laura Vianna; Xuhui Zhou; Yejin Choi; Noah A. Smith
Source: Self-asserted source
Swabha Swayamdipta
grade
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Investigating the Benefits of Free-Form Rationales

Findings of EMNLP
2022 | Conference paper
URI:

https://arxiv.org/abs/2206.11083
Contributors: Jiao Sun; Swabha Swayamdipta; Jonathan May; Xuezhe Ma
Source: Self-asserted source
Swabha Swayamdipta
grade
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NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation

Findings of EMNLP
2022 | Conference paper
URI:

https://arxiv.org/abs/2210.12365
Contributors: Phillip Howard; Gadi Singer; Vasudev Lal; Yejin Choi; Swabha Swayamdipta
Source: Self-asserted source
Swabha Swayamdipta
grade
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Reframing Human-AI Collaboration for Generating Free-Text Explanations

Proc. of NAACL
2022 | Conference paper
URI:

https://arxiv.org/abs/2112.08674
Contributors: Sarah Wiegreffe; Jack Hessel; Swabha Swayamdipta; Mark Riedl; Yejin Choi
Source: Self-asserted source
Swabha Swayamdipta
grade
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Understanding Dataset Difficulty with 𝒱-Usable Information

Proc. of ICML
2022 | Conference paper
URI:

https://arxiv.org/abs/2110.08420
Contributors: Kawin Ethayarajh; Yejin Choi; Swabha Swayamdipta
Source: Self-asserted source
Swabha Swayamdipta
grade
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WaNLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation

Findings of EMNLP
2022 | Conference paper
URI:

https://arxiv.org/abs/2201.05955
Contributors: Alisa Liu; Swabha Swayamdipta; Noah A. Smith; Yejin Choi
Source: Self-asserted source
Swabha Swayamdipta
grade
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Proceedings of the Third Workshop on Deep Learning for Low-Resource Natural Language Processing

2022-07 | Conference paper
URI:

https://aclanthology.org/2022.deeplo-1.0
Contributors: Cherry, Colin and Fan, Angela and Foster, George and Haffari, Gholamreza (Reza) and Khadivi, Shahram and Peng, Nanyun (Violet) and Ren, Xiang and Shareghi, Ehsan and Swayamdipta, Swabha
Source: Self-asserted source
Swabha Swayamdipta
grade
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Challenges in Automated Debiasing for Toxic Language Detection

Proc. of EACL
2021 | Conference paper
URI:

https://arxiv.org/abs/2102.00086
Contributors: Xuhui Zhou; Maarten Sap; Swabha Swayamdipta; Noah A. Smith; Yejin Choi
Source: Self-asserted source
Swabha Swayamdipta
grade
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Contrastive Explanations for Model Interpretability

Proc. of EMNLP
2021 | Conference paper
URI:

https://arxiv.org/abs/2103.01378
Contributors: Alon Jacovi; Swabha Swayamdipta; Shauli Ravfogel; Yanai Elazar; Yejin Choi; Yoav Goldberg
Source: Self-asserted source
Swabha Swayamdipta
grade
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DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts

Proc. of ACL
2021 | Conference paper
URI:

https://arxiv.org/abs/2105.03023
Contributors: Alisa Liu; Maarten Sap; Ximing Lu; Swabha Swayamdipta; Chandra Bhagavatula; Noah A. Smith; Yejin Choi
Source: Self-asserted source
Swabha Swayamdipta
grade
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MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers

Proc. of NeurIPS
2021 | Conference paper
URI:

https://arxiv.org/abs/2102.01454
Contributors: Krishna Pillutla; Swabha Swayamdipta; Rowan Zellers; John Thickstun; Sean Wellecks; Yejin Choi; Zaid Harchaoui
Source: Self-asserted source
Swabha Swayamdipta
grade
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Sister Help: Data Augmentation for Frame-Semantic Role Labeling

Proc. of LAW-DMR Workshop at EMNLP
2021 | Conference paper
URI:

http://arxiv.org/abs/2109.07725
Contributors: Ayush Pancholy; Miriam R. L. Petruck; Swabha Swayamdipta
Source: Self-asserted source
Swabha Swayamdipta
grade
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Adversarial Filters of Dataset Biases

Proc. of ICML
2020 | Conference paper
URI:

https://arxiv.org/abs/2002.04108
Contributors: Ronan LeBras; Swabha Swayamdipta; Chandra Bhagavatula; Rowan Zellers; Matthew E. Peters; Ashish Sabharwal; Yejin Choi
Source: Self-asserted source
Swabha Swayamdipta
grade
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Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics

Proc. of EMNLP
2020 | Conference paper
URI:

https://arxiv.org/abs/2009.10795
Contributors: Swabha Swayamdipta; Roy Schwartz; Nicholas Lourie; Yizhong Wang; Hannaneh Hajishirzi; Noah A. Smith; Yejin Choi
Source: Self-asserted source
Swabha Swayamdipta
grade
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Don't Stop Pretraining: Adapt Language Models to Domains and Tasks

Proc. of ACL
2020 | Conference paper
URI:

https://arxiv.org/abs/2004.10964
Contributors: Suchin Gururangan; Ana Marasović; Swabha Swayamdipta; Kyle Lo; Iz Beltagy; Doug Downey; Noah A. Smith
Source: Self-asserted source
Swabha Swayamdipta
grade
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G-DAUG: Generative Data Augmentation for Commonsense Reasoning

Findings of EMNLP
2020 | Conference paper
URI:

https://arxiv.org/abs/2004.11546
Contributors: Yiben Yang; Chaitanya Malaviya; Jared Fernandez; Swabha Swayamdipta; Ronan LeBras; Ji-Ping Wang; Chandra Bhagavatula; Yejin Choi; Doug Downey
Source: Self-asserted source
Swabha Swayamdipta
grade
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The Right Tool for the Job: Matching Model and Instance Complexities

Proc. of ACL
2020 | Conference paper
URI:

https://arxiv.org/abs/2004.07453
Contributors: Roy Schwartz; Gabi Stanovsky; Swabha Swayamdipta; Jesse Dodge; Noah A. Smith
Source: Self-asserted source
Swabha Swayamdipta
grade
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PhD Thesis: Syntactic Inductive Biases for Natural Language Processing

2019 | Dissertation or Thesis
URI:

https://swabhs.com/assets/pdf/swabha_thesis.pdf
Contributors: Swayamdipta, Swabha
Source: Self-asserted source
Swabha Swayamdipta
grade
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Shallow Syntax in Deep Water

2019 | Other
URI:

https://arxiv.org/abs/1908.11047
Contributors: Swabha Swayamdipta; Matthew Peters; Brendan Roof; Chris Dyer; Noah A. Smith
Source: Self-asserted source
Swabha Swayamdipta
grade
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Tutorial on Transfer Learning in Natural Language Processing

Proc. of NAACL
2019 | Conference paper
URI:

https://www.aclweb.org/anthology/N19-5004/
Contributors: Ruder, Sebastian; Peters, Matthew E; Swayamdipta, Swabha; Wolf, Thomas
Source: Self-asserted source
Swabha Swayamdipta
grade
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Annotation Artifacts in Natural Language Inference Data

Proc. of NAACL
2018 | Conference paper
URI:

https://arxiv.org/abs/1803.02324
Contributors: Gururangan, Suchin; Swayamdipta, Swabha; Levy, Omer; Schwartz, Roy; Bowman, Samuel; Smith, Noah A.
Source: Self-asserted source
Swabha Swayamdipta
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Learning Joint Semantic Parsers from Disjoint Data

Proc. of NAACL
2018 | Conference paper
URI:

http://aclweb.org/anthology/N18-1135
Contributors: Peng, Hao; Thomson, Sam; Swayamdipta, Swabha; Smith, Noah A.
Source: Self-asserted source
Swabha Swayamdipta
grade
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Multi-Mention Learning for Reading Comprehension with Neural Cascades

Proc. of ICLR
2018 | Conference paper
URI:

https://openreview.net/forum?id=HyRnez-RW
Contributors: Swayamdipta, Swabha; Parikh, Ankur P; Kwiatkowski, Tom
Source: Self-asserted source
Swabha Swayamdipta
grade
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Polyglot Semantic Role Labeling

Proc. of ACL
2018 | Conference paper
URI:

https://aclanthology.org/P18-2106/
Contributors: Mulcaire, Phoebe; Swayamdipta, Swabha; Smith, Noah A.
Source: Self-asserted source
Swabha Swayamdipta
grade
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Syntactic Scaffolds for Semantic Structures

EMNLP
2018 | Conference paper
URI:

https://arxiv.org/abs/1808.10485
Contributors: Swayamdipta, Swabha; Thomson, Sam; Lee, Kenton; Zettlemoyer, Luke and Dyer, Chris; Smith, Noah A.
Source: Self-asserted source
Swabha Swayamdipta
grade
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Frame Semantics across Languages: Towards a Multilingual FrameNet

COLING: Tutorial Abstracts
2018-08 | Conference paper
URI:

https://www.aclweb.org/anthology/C18-3003
Contributors: Baker, Collin F. and Ellsworth, Michael and Petruck, Miriam R. L. and Swayamdipta, Swabha
Source: Self-asserted source
Swabha Swayamdipta
grade
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DyNet: The Dynamic Neural Network Toolkit

2017 | Other
URI:

https://arxiv.org/abs/1701.03980
Contributors: Graham Neubig; Chris Dyer; Yoav Goldberg; Austin Matthews; Waleed Ammar and Antonios Anastasopoulos; Miguel Ballesteros; David Chiang; Daniel Clothiaux and Trevor Cohn; Kevin Duh; Manaal Faruqui et al.
Source: Self-asserted source
Swabha Swayamdipta
grade
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Frame-Semantic Parsing with Softmax-Margin Segmental RNNs and a Syntactic Scaffold

2017 | Other
URI:

https://arxiv.org/abs/1706.09528
Contributors: Swabha Swayamdipta; Sam Thomson; Chris Dyer; Noah A. Smith
Source: Self-asserted source
Swabha Swayamdipta
grade
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Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs

Proc. of CoNLL
2016 | Conference paper
URI:

https://www.aclweb.org/anthology/K16-1019
Contributors: Swabha Swayamdipta; Miguel Ballesteros; Chris Dyer; Noah A. Smith
Source: Self-asserted source
Swabha Swayamdipta
grade
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A Dependency Parser for Tweets

Proc. of EMNLP
2014 | Conference paper
URI:

https://www.aclweb.org/anthology/D14-1108
Contributors: Kong, Lingpeng; Schneider, Nathan; Swayamdipta, Swabha; Bhatia Archna; Dyer, Chris; Smith, Noah A.
Source: Self-asserted source
Swabha Swayamdipta
grade
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CMU: Arc-Factored, Discriminative Semantic Dependency Parsing

Proc. of SemEval
2014 | Conference paper
DOI: 10.3115/v1/S14-2027
Contributors: Thomson, Sam; O'Connor, Brendan; Flanigan, Jeffrey; Bamman, David and Dodge, Jesse; Swayamdipta, Swabha; Schneider, Nathan; Dyer, Chris and Smith, Noah A.
Source: Self-asserted source
Swabha Swayamdipta
grade
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The CMU machine translation systems at WMT 2014

Proc. of WMT
2014 | Conference paper
URI:

https://www.aclweb.org/anthology/W14-3315
Contributors: Matthews, Austin; Ammar, Waleed; Bhatia, Archna; Feely, Weston; Hanneman, Greg; Schlinger, Eva; Swayamdipta, Swabha; Tsvetkov, Yulia; Lavie, Alon; Dyer, Chris
Source: Self-asserted source
Swabha Swayamdipta
grade
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