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Joe Barrow
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Conference and Workshop Papers
- 2024
- [c9]Sergio Servantez, Joe Barrow, Kristian J. Hammond, Rajiv Jain:
Chain of Logic: Rule-Based Reasoning with Large Language Models. ACL (Findings) 2024: 2721-2733 - 2021
- [c8]Joe Barrow, Rajiv Jain, Nedim Lipka, Franck Dernoncourt, Vlad I. Morariu, Varun Manjunatha, Douglas W. Oard, Philip Resnik, Henning Wachsmuth:
Syntopical Graphs for Computational Argumentation Tasks. ACL/IJCNLP (1) 2021: 1583-1595 - [c7]Pedro Rodriguez, Joe Barrow, Alexander Miserlis Hoyle, John P. Lalor, Robin Jia, Jordan L. Boyd-Graber:
Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards? ACL/IJCNLP (1) 2021: 4486-4503 - 2020
- [c6]Joe Barrow, Rajiv Jain, Vlad I. Morariu, Varun Manjunatha, Douglas W. Oard, Philip Resnik:
A Joint Model for Document Segmentation and Segment Labeling. ACL 2020: 313-322 - [c5]Denis Peskov, Benny Cheng, Ahmed Elgohary, Joe Barrow, Cristian Danescu-Niculescu-Mizil, Jordan L. Boyd-Graber:
It Takes Two to Lie: One to Lie, and One to Listen. ACL 2020: 3811-3854 - [c4]Petra Galuscáková, Douglas W. Oard, Joe Barrow, Suraj Nair, Han-Chin Shing, Elena Zotkina, Ramy Eskander, Rui Zhang:
MATERIALizing Cross-Language Information Retrieval: A Snapshot. CLSSTS@LREC 2020: 14-21 - 2019
- [c3]Han-Chin Shing, Joe Barrow, Petra Galuscáková, Douglas W. Oard, Philip Resnik:
Unsupervised System Combination for Set-Based Retrieval with Expectation Maximization. CLEF 2019: 191-197 - [c2]Denis Peskov, Joe Barrow, Pedro Rodriguez, Graham Neubig, Jordan L. Boyd-Graber:
Mitigating Noisy Inputs for Question Answering. INTERSPEECH 2019: 789-793 - 2017
- [c1]Joe Barrow, Denis Peskov:
UMDeep at SemEval-2017 Task 1: End-to-End Shared Weight LSTM Model for Semantic Textual Similarity. SemEval@ACL 2017: 180-184
Informal and Other Publications
- 2024
- [i8]Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, Md. Mehrab Tanjim, Tong Yu, Hanieh Deilamsalehy, Ruiyi Zhang, Sungchul Kim, Franck Dernoncourt:
Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes. CoRR abs/2402.01981 (2024) - [i7]Sergio Servantez, Joe Barrow, Kristian J. Hammond, Rajiv Jain:
Chain of Logic: Rule-Based Reasoning with Large Language Models. CoRR abs/2402.10400 (2024) - [i6]Chantal Shaib, Joe Barrow, Alexa F. Siu, Byron C. Wallace, Ani Nenkova:
How Much Annotation is Needed to Compare Summarization Models? CoRR abs/2402.18756 (2024) - [i5]Chantal Shaib, Joe Barrow, Jiuding Sun, Alexa F. Siu, Byron C. Wallace, Ani Nenkova:
Standardizing the Measurement of Text Diversity: A Tool and a Comparative Analysis of Scores. CoRR abs/2403.00553 (2024) - 2023
- [i4]Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, Md. Mehrab Tanjim, Sungchul Kim, Franck Dernoncourt, Tong Yu, Ruiyi Zhang, Nesreen K. Ahmed:
Bias and Fairness in Large Language Models: A Survey. CoRR abs/2309.00770 (2023) - [i3]Jon Saad-Falcon, Joe Barrow, Alexa F. Siu, Ani Nenkova, Ryan A. Rossi, Franck Dernoncourt:
PDFTriage: Question Answering over Long, Structured Documents. CoRR abs/2309.08872 (2023) - [i2]Sicheng Zhu, Ruiyi Zhang, Bang An, Gang Wu, Joe Barrow, Zichao Wang, Furong Huang, Ani Nenkova, Tong Sun:
AutoDAN: Automatic and Interpretable Adversarial Attacks on Large Language Models. CoRR abs/2310.15140 (2023) - 2019
- [i1]Denis Peskov, Joe Barrow, Pedro Rodriguez, Graham Neubig, Jordan L. Boyd-Graber:
Mitigating Noisy Inputs for Question Answering. CoRR abs/1908.02914 (2019)
Coauthor Index
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