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Omar Shaikh
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2020 – today
- 2024
- [j5]Caleb Ziems, William Held, Omar Shaikh, Jiaao Chen, Zhehao Zhang, Diyi Yang:
Can Large Language Models Transform Computational Social Science? Comput. Linguistics 50(1): 237-291 (2024) - [c14]Omar Shaikh
, Valentino Emil Chai
Rehearsal: Simulating Conflict to Teach Conflict Resolution. CHI 2024: 920:1-920:20 - [c13]Omar Shaikh, Kristina Gligoric, Ashna Khetan, Matthias Gerstgrasser, Diyi Yang, Dan Jurafsky:
Grounding Gaps in Language Model Generations. NAACL-HLT 2024: 6279-6296 - [i20]Diyi Yang, Caleb Ziems, William Held, Omar Shaikh, Michael S. Bernstein, John C. Mitchell:
Social Skill Training with Large Language Models. CoRR abs/2404.04204 (2024) - [i19]Omar Shaikh, Michelle S. Lam, Joey Hejna, Yijia Shao, Michael S. Bernstein, Diyi Yang:
Show, Don't Tell: Aligning Language Models with Demonstrated Feedback. CoRR abs/2406.00888 (2024) - 2023
- [c12]Omar Shaikh, Hongxin Zhang, William Held, Michael S. Bernstein, Diyi Yang:
On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning. ACL (1) 2023: 4454-4470 - [c11]Omar Shaikh, Caleb Ziems, William Held, Aryan J. Pariani, Fred Morstatter, Diyi Yang:
Modeling Cross-Cultural Pragmatic Inference with Codenames Duet. ACL (Findings) 2023: 6550-6569 - [c10]Haekyu Park
Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries. CIKM 2023: 2044-2054 - [i18]Caleb Ziems, William Held, Omar Shaikh, Jiaao Chen, Zhehao Zhang, Diyi Yang:
Can Large Language Models Transform Computational Social Science? CoRR abs/2305.03514 (2023) - [i17]Omar Shaikh, Caleb Ziems, William Held, Aryan J. Pariani, Fred Morstatter, Diyi Yang:
Modeling Cross-Cultural Pragmatic Inference with Codenames Duet. CoRR abs/2306.02475 (2023) - [i16]Omar Shaikh, Valentino Chai, Michele J. Gelfand, Diyi Yang, Michael S. Bernstein:
Rehearsal: Simulating Conflict to Teach Conflict Resolution. CoRR abs/2309.12309 (2023) - [i15]Omar Shaikh, Kristina Gligoric, Ashna Khetan, Matthias Gerstgrasser, Diyi Yang, Dan Jurafsky:
Grounding or Guesswork? Large Language Models are Presumptive Grounders. CoRR abs/2311.09144 (2023) - 2022
- [j4]Omar Shaikh, Cassandra Ung, Diyi Yang, Felipe A. Chacon:
Six Feet Apart: Online Payments During the COVID-19 Pandemic. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-33 (2022) - [j3]Haekyu Park, Nilaksh Das, Rahul Duggal, Austin P. Wright, Omar Shaikh, Fred Hohman, Duen Horng (Polo) Chau:
NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks. IEEE Trans. Vis. Comput. Graph. 28(1): 813-823 (2022) - [c9]Seongmin Lee, Sadia Afroz, Haekyu Park, Zijie J. Wang, Omar Shaikh, Vibhor Sehgal, Ankit Peshin, Duen Horng Chau:
MisVis: Explaining Web Misinformation Connections via Visual Summary. CHI Extended Abstracts 2022: 228:1-228:6 - [c8]Seongmin Lee, Sadia Afroz, Haekyu Park, Zijie J. Wang, Omar Shaikh, Vibhor Sehqal, Ankit Peshin, Duen Horng Chau:
Explaining Website Reliability by Visualizing Hyperlink Connectivity. IEEE VIS (Short Papers) 2022: 26-30 - [i14]Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Judy Hoffman
ConceptEvo: Interpreting Concept Evolution in Deep Learning Training. CoRR abs/2203.16475 (2022) - [i13]Omar Shaikh, Cassandra Ung, Diyi Yang, Felipe A. Chacon:
Six Feet Apart: Online Payments During the COVID-19 Pandemic. CoRR abs/2204.13895 (2022) - [i12]Seongmin Lee, Sadia Afroz, Haekyu Park, Zijie J. Wang, Omar Shaikh, Vibhor Sehgal, Ankit Peshin, Duen Horng Chau:
Explaining Website Reliability by Visualizing Hyperlink Connectivity. CoRR abs/2210.00160 (2022) - [i11]Omar Shaikh, Hongxin Zhang, William Held, Michael S. Bernstein, Diyi Yang:
On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning. CoRR abs/2212.08061 (2022) - 2021
- [j2]Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Duen Horng (Polo) Chau, Diyi Yang:
RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization. Proc. ACM Hum. Comput. Interact. 5(CSCW1): 181:1-181:26 (2021) - [j1]Zijie J. Wang
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization. IEEE Trans. Vis. Comput. Graph. 27(2): 1396-1406 (2021) - [c7]Omar Shaikh, Jon Saad-Falcon, Austin P. Wright, Nilaksh Das, Scott Freitas, Omar Isaac Asensio, Duen Horng Chau:
EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models. CHI Extended Abstracts 2021: 458:1-458:7 - [i10]Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Duen Horng Chau, Diyi Yang:
RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization. CoRR abs/2102.04427 (2021) - [i9]Omar Shaikh, Jon Saad-Falcon, Austin P. Wright, Nilaksh Das, Scott Freitas, Omar Isaac Asensio, Duen Horng Chau:
EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models. CoRR abs/2103.16435 (2021) - [i8]Haekyu Park, Nilaksh Das, Rahul Duggal, Austin P. Wright, Omar Shaikh, Fred Hohman, Duen Horng Chau:
NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks. CoRR abs/2108.12931 (2021) - 2020
- [c6]Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Diyi Yang, Duen Horng Chau
RECAST: Interactive Auditing of Automatic Toxicity Detection Models. CCHI 2020: 80-82 - [c5]Zijie J. Wang
CNN 101: Interactive Visual Learning for Convolutional Neural Networks. CHI Extended Abstracts 2020: 1-7 - [c4]Siwei Li, Zhiyan Zhou, Anish Upadhayay, Omar Shaikh, Scott Freitas, Haekyu Park, Zijie J. Wang
Argo Lite: Open-Source Interactive Graph Exploration and Visualization in Browsers. CIKM 2020: 3071-3076 - [c3]Omar Shaikh, Jiaao Chen, Jon Saad-Falcon, Polo Chau, Diyi Yang:
Examining the Ordering of Rhetorical Strategies in Persuasive Requests. EMNLP (Findings) 2020: 1299-1306 - [i7]Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Diyi Yang, Duen Horng Chau:
RECAST: Interactive Auditing of Automatic Toxicity Detection Models. CoRR abs/2001.01819 (2020) - [i6]Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau:
CNN 101: Interactive Visual Learning for Convolutional Neural Networks. CoRR abs/2001.02004 (2020) - [i5]Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau:
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization. CoRR abs/2004.15004 (2020) - [i4]Jon Saad-Falcon, Omar Shaikh, Zijie J. Wang, Austin P. Wright, Sasha Richardson, Duen Horng Chau:
PeopleMap: Visualization Tool for Mapping Out Researchers using Natural Language Processing. CoRR abs/2006.06105 (2020) - [i3]Siwei Li, Zhiyan Zhou, Anish Upadhayay, Omar Shaikh, Scott Freitas, Haekyu Park, Zijie J. Wang, Susanta Routray, Matthew Hull, Duen Horng Chau:
Argo Lite: Open-Source Interactive Graph Exploration and Visualization in Browsers. CoRR abs/2008.11844 (2020) - [i2]Jon Saad-Falcon, Omar Shaikh, Zijie J. Wang, Austin P. Wright, Sasha Richardson, Duen Horng Chau:
Mapping Researchers with PeopleMap. CoRR abs/2009.00091 (2020) - [i1]Omar Shaikh, Jiaao Chen, Jon Saad-Falcon, Duen Horng Chau, Diyi Yang:
Examining the Ordering of Rhetorical Strategies in Persuasive Requests. CoRR abs/2010.04625 (2020)
2010 – 2019
- 2018
- [c2]Omar Shaikh, Yilu Sun, Andrea Stevenson Won:
Movement Visualizer for Networked Virtual Reality Platforms. VR 2018: 681-682 - 2016
- [c1]Farrukh Shahzad, Tarek R. Sheltami
A Review of Latest Web Tools and Libraries for State-of-the-art Visualization. EUSPN/ICTH 2016: 100-106
Coauthor Index
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last updated on 2024-08-30 21:39 CEST by the dblp team
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