Josh Magnus Ludan

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors	2024	Liam Dugan Alyssa Hwang Filip Trhlík Josh Magnus Ludan Andrew Zhu Hainiu Xu Daphne Ippolito Chris Callison-Burch
+	Explanation-based Finetuning Makes Models More Robust to Spurious Cues	2023	Josh Magnus Ludan Yixuan Meng Tai D. Nguyen Saurabh Shah Qing Lyu Marianna Apidianaki Chris Callison-Burch
+	Explanation-based Finetuning Makes Models More Robust to Spurious Cues	2023	Josh Magnus Ludan Yixuan Meng Tai D. Nguyen Saurabh Shah Qing Lyu Marianna Apidianaki Chris Callison-Burch
+	Interpretable-by-Design Text Classification with Iteratively Generated Concept Bottleneck	2023	Josh Magnus Ludan Qing Lyu Yue Yang Liam Dugan Mark Yatskar Chris Callison-Burch

Common Coauthors

Coauthor	Papers Together
Chris Callison-Burch	4
Yixuan Meng	2
Saurabh Shah	2
Liam Dugan	2
Qing Lyu	2
Tai D. Nguyen	2
Marianna Apidianaki	2
Yue Yang	1
Daphne Ippolito	1
Filip Trhlík	1
Hainiu Xu	1
Andrew Zhu	1
Alyssa Hwang	1
Mark Yatskar	1
Qing Lyu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems	2018	Svetlana Kiritchenko Saif M. Mohammad	1
+	Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference	2019	Tom McCoy Ellie Pavlick Tal Linzen	1
+	e-SNLI: Natural Language Inference with Natural Language Explanations	2018	Oana-Maria Camburu Tim Rocktäschel Thomas Lukasiewicz Phil Blunsom	1
+ PDF Chat	How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks	2018	Divyansh Kaushik Zachary C. Lipton	1
+	Annotation Artifacts in Natural Language Inference Data	2018	Suchin Gururangan Swabha Swayamdipta Omer Levy Roy Schwartz Samuel R. Bowman Noah A. Smith	1
+	A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task	2016	Danqi Chen Jason Bolton Christopher D. Manning	1
+	Hypothesis Only Baselines in Natural Language Inference	2018	Adam Poliak Jason Naradowsky Aparajita Haldar Rachel Rudinger Benjamin Van Durme	1
+	Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets	2019	Mor Geva Yoav Goldberg Jonathan Berant	1
+	Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks	2019	Nils Reimers Iryna Gurevych	1
+	Learning the Difference that Makes a Difference with Counterfactually-Augmented Data	2019	Divyansh Kaushik Eduard Hovy Zachary C. Lipton	1
+	Adversarial NLI: A New Benchmark for Natural Language Understanding	2020	Yixin Nie Adina Williams Emily Dinan Mohit Bansal Jason Weston Douwe Kiela	1
+	BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension	2020	Mike Lewis Yinhan Liu Naman Goyal Marjan Ghazvininejad Abdelrahman Mohamed Omer Levy Veselin Stoyanov Luke Zettlemoyer	1
+	End-to-End Bias Mitigation by Modelling Biases in Corpora	2020	Rabeeh Karimi Mahabadi Yonatan Belinkov James Henderson	1
+	Learning from others' mistakes: Avoiding dataset biases without modeling them	2020	Victor Sanh Thomas Wolf Yonatan Belinkov Alexander M. Rush	1
+ PDF Chat	Gender Bias in Neural Natural Language Processing	2020	Kaiji Lu Piotr Mardziel Fang‐Jing Wu Preetam Amancharla Anupam Datta	1
+	CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge	2021	Yasumasa Onoe Michael J. Q. Zhang Eunsol Choi Greg Durrett	1
+ PDF Chat	Toward Annotator Group Bias in Crowdsourcing	2022	Haochen Liu Joseph Thekinen Sinem Mollaoglu Da Tang Ji Seung Yang Youlong Cheng Hui Liu Jiliang Tang	1
+ PDF Chat	Few-Shot Self-Rationalization with Natural Language Prompts	2022	Ana Marasović Iz Beltagy Doug Downey Matthew E. Peters	1
+ PDF Chat	Can Rationalization Improve Robustness?	2022	Howard Chen Jacqueline He Karthik Narasimhan Danqi Chen	1
+	Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer	2019	Colin Raffel Noam Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu	1
+	Language Models are Few-Shot Learners	2020	T. B. Brown Benjamin F. Mann Nick Ryder Melanie Subbiah Jared Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell	1
+	Using Focal Loss to Fight Shallow Heuristics: An Empirical Analysis of Modulated Cross-Entropy in Natural Language Inference	2022	Frano Rajič Ivan Stresec Axel Marmet Tim Poštuvan	1
+ PDF Chat	Does Self-Rationalization Improve Robustness to Spurious Correlations?	2022	Alexis Ross Matthew E. Peters Ana Marasović	1
+	Can language models learn from explanations in context?	2022	Andrew K. Lampinen Ishita Dasgupta Stephanie C. Y. Chan Kory W. Mathewson Mh Tessler Antonia Creswell James L. McClelland Jane Wang Felix Hill	1