Dallas Card

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 41

Top Topics

Weighted Averaging

Conditional Distributions

Top Venues

Publications

Bangzhao Shu, Lechen Zhang, Minje Choi, Lavinia Dunagan, Lajanugen Logeswaran, Moontae Lee, Dallas Card, David Jurgens
You don't need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instruments. NAACL-HLT (2024)
Meera A. Desai, Irene V. Pasquetto, Abigail Z. Jacobs, Dallas Card
An archival perspective on pretraining data. Patterns 5 (5) (2024)
Julia Mendelsohn, Maya Vijan, Dallas Card, Ceren Budak
Framing Social Movements on Social Media: Unpacking Diagnostic, Prognostic, and Motivational Strategies. CoRR (2024)
Dallas Card
Substitution-based Semantic Change Detection using Contextual Embeddings. CoRR (2023)
Benjamin Litterer, David Jurgens, Dallas Card
When it Rains, it Pours: Modeling Media Storms and the News Ecosystem. CoRR (2023)
Dallas Card
Substitution-based Semantic Change Detection using Contextual Embeddings. ACL (2) (2023)
Bangzhao Shu, Lechen Zhang, Minje Choi, Lavinia Dunagan, Dallas Card, David Jurgens
You don't need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instruments. CoRR (2023)
Benjamin Litterer, David Jurgens, Dallas Card
When it Rains, it Pours: Modeling Media Storms and the News Ecosystem. EMNLP (Findings) (2023)
Suchin Gururangan, Dallas Card, Sarah K. Dreier, Emily K. Gade, Leroy Z. Wang, Zeyu Wang, Luke Zettlemoyer, Noah A. Smith
Whose Language Counts as High Quality? Measuring Language Ideologies in Text Data Selection. CoRR (2022)
Junshen K. Chen, Dallas Card, Dan Jurafsky
Modular Domain Adaptation. CoRR (2022)
Abeba Birhane, Pratyusha Kalluri, Dallas Card, William Agnew, Ravit Dotan, Michelle Bao
The Values Encoded in Machine Learning Research. FAccT (2022)
Kaitlyn Zhou, Kawin Ethayarajh, Dallas Card, Dan Jurafsky
Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words. ACL (2) (2022)
Suchin Gururangan, Dallas Card, Sarah K. Dreier, Emily K. Gade, Leroy Z. Wang, Zeyu Wang, Luke Zettlemoyer, Noah A. Smith
Whose Language Counts as High Quality? Measuring Language Ideologies in Text Data Selection. EMNLP (2022)
Kaitlyn Zhou, Kawin Ethayarajh, Dallas Card, Dan Jurafsky
Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words. CoRR (2022)
Junshen K. Chen, Dallas Card, Dan Jurafsky
Modular Domain Adaptation. ACL (Findings) (2022)
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie S. Chen, Kathleen Creel, Jared Quincy Davis, Dorottya Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah D. Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark S. Krass, Ranjay Krishna, Rohith Kuditipudi, et al.
On the Opportunities and Risks of Foundation Models. CoRR (2021)
Abeba Birhane, Pratyusha Kalluri, Dallas Card, William Agnew, Ravit Dotan, Michelle Bao
The Values Encoded in Machine Learning Research. CoRR (2021)
Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith
Expected Validation Performance and Estimation of a Random Variable's Maximum. CoRR (2021)
Reid Pryzant, Dallas Card, Dan Jurafsky, Victor Veitch, Dhanya Sridhar
Causal Effects of Linguistic Properties. NAACL-HLT (2021)
Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith
Expected Validation Performance and Estimation of a Random Variable's Maximum. EMNLP (Findings) (2021)
Tal August, Dallas Card, Gary Hsieh, Noah A. Smith, Katharina Reinecke
Explain like I am a Scientist: The Linguistic Barriers of Entry to r/science. CHI (2020)
Yiwei Luo, Dallas Card, Dan Jurafsky
DeSMOG: Detecting Stance in Media On Global Warming. EMNLP (Findings) (2020)
Dallas Card, Noah A. Smith
On Consequentialism and Fairness. Frontiers Artif. Intell. 3 (2020)
Reid Pryzant, Dallas Card, Dan Jurafsky, Victor Veitch, Dhanya Sridhar
Causal Effects of Linguistic Properties. CoRR (2020)
Yiwei Luo, Dallas Card, Dan Jurafsky
DeSMOG: Detecting Stance in Media On Global Warming. CoRR (2020)
Dallas Card, Noah A. Smith
On Consequentialism and Fairness. CoRR (2020)
Dallas Card, Peter Henderson, Urvashi Khandelwal, Robin Jia, Kyle Mahowald, Dan Jurafsky
With Little Power Comes Great Responsibility. CoRR (2020)
Dallas Card, Peter Henderson, Urvashi Khandelwal, Robin Jia, Kyle Mahowald, Dan Jurafsky
With Little Power Comes Great Responsibility. EMNLP (1) (2020)
Maarten Sap, Dallas Card, Saadia Gabriel, Yejin Choi, Noah A. Smith
The Risk of Racial Bias in Hate Speech Detection. ACL (1) (2019)
Dallas Card, Michael Zhang, Noah A. Smith
Deep Weighted Averaging Classifiers. FAT (2019)
Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith
Show Your Work: Improved Reporting of Experimental Results. CoRR (2019)
Suchin Gururangan, Tam Dang, Dallas Card, Noah A. Smith
Variational Pretraining for Semi-supervised Text Classification. ACL (1) (2019)
Suchin Gururangan, Tam Dang, Dallas Card, Noah A. Smith
Variational Pretraining for Semi-supervised Text Classification. CoRR (2019)
Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith
Show Your Work: Improved Reporting of Experimental Results. EMNLP/IJCNLP (1) (2019)
Dallas Card, Michael Zhang, Noah A. Smith
Deep Weighted Averaging Classifiers. CoRR (2018)
Dallas Card, Noah A. Smith
The Importance of Calibration for Estimating Proportions from Annotations. NAACL-HLT (2018)
Dallas Card, Chenhao Tan, Noah A. Smith
Neural Models for Documents with Metadata. ACL (1) (2018)
Chenhao Tan, Dallas Card, Noah A. Smith
Friendships, Rivalries, and Trysts: Characterizing Relations between Ideas in Texts. CoRR (2017)
Chenhao Tan, Dallas Card, Noah A. Smith
Friendships, Rivalries, and Trysts: Characterizing Relations between Ideas in Texts. ACL (1) (2017)
Dallas Card, Chenhao Tan, Noah A. Smith
A Neural Framework for Generalized Topic Models. CoRR (2017)
Dallas Card, Justin H. Gross, Amber E. Boydstun, Noah A. Smith
Analyzing Framing through the Casts of Characters in the News. EMNLP (2016)
Julia M. Young, Tamara L. Powell, Benjamin R. Morgan, Dallas Card, Wayne Lee, Mary Lou Smith, John G. Sled, Margot J. Taylor
Deep grey matter growth predicts neurodevelopmental outcomes in very preterm children. NeuroImage 111 (2015)
Revital Nossin-Manor, Dallas Card, Charles Raybaud, Margot J. Taylor, John G. Sled
Cerebral maturation in the early preterm period - A magnetization transfer and diffusion tensor imaging study using voxel-based analysis. NeuroImage 112 (2015)
Dallas Card, Amber E. Boydstun, Justin H. Gross, Philip Resnik, Noah A. Smith
The Media Frames Corpus: Annotations of Frames Across Issues. ACL (2) (2015)
Revital Nossin-Manor, Dallas Card, Drew Morris, Salma Noormohamed, Manohar M. Shroff, Hilary E. Whyte, Margot J. Taylor, John G. Sled
imaging. NeuroImage 64 (2013)