Omar Shaikh

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 40

Top Topics

Columbia University

Convolutional Neural Networks

Interactive Visual

Top Venues

Proc. ACM Hum. Comput. Interact.

CHI Extended Abstracts

IEEE Trans. Vis. Comput. Graph.

Publications

Omar Shaikh, Valentino Emil Chai, Michele Gelfand, Diyi Yang, Michael S. Bernstein
Rehearsal: Simulating Conflict to Teach Conflict Resolution. CHI (2024)
Diyi Yang, Caleb Ziems, William Held, Omar Shaikh, Michael S. Bernstein, John C. Mitchell
Social Skill Training with Large Language Models. CoRR (2024)
Caleb Ziems, William Held, Omar Shaikh, Jiaao Chen, Zhehao Zhang, Diyi Yang
Can Large Language Models Transform Computational Social Science? Comput. Linguistics 50 (1) (2024)
Omar Shaikh, Kristina Gligoric, Ashna Khetan, Matthias Gerstgrasser, Diyi Yang, Dan Jurafsky
Grounding Gaps in Language Model Generations. NAACL-HLT (2024)
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 (2024)
Omar Shaikh, Hongxin Zhang, William Held, Michael Bernstein, Diyi Yang
On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning. ACL (1) (2023)
Omar Shaikh, Caleb Ziems, William Held, Aryan J. Pariani, Fred Morstatter, Diyi Yang
Modeling Cross-Cultural Pragmatic Inference with Codenames Duet. ACL (Findings) (2023)
Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Kevin Li, Judy Hoffman, Duen Horng Chau
Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries. CIKM (2023)
Omar Shaikh, Kristina Gligoric, Ashna Khetan, Matthias Gerstgrasser, Diyi Yang, Dan Jurafsky
Grounding or Guesswork? Large Language Models are Presumptive Grounders. CoRR (2023)
Caleb Ziems, William Held, Omar Shaikh, Jiaao Chen, Zhehao Zhang, Diyi Yang
Can Large Language Models Transform Computational Social Science? CoRR (2023)
Omar Shaikh, Valentino Chai, Michele J. Gelfand, Diyi Yang, Michael S. Bernstein
Rehearsal: Simulating Conflict to Teach Conflict Resolution. CoRR (2023)
Omar Shaikh, Caleb Ziems, William Held, Aryan J. Pariani, Fred Morstatter, Diyi Yang
Modeling Cross-Cultural Pragmatic Inference with Codenames Duet. CoRR (2023)
Omar Shaikh, Cassandra Ung, Diyi Yang, Felipe Chacon
Six Feet Apart: Online Payments During the COVID-19 Pandemic. CoRR (2022)
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)
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) (2022)
Omar Shaikh, Hongxin Zhang, William Held, Michael Bernstein, Diyi Yang
On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning. CoRR (2022)
Omar Shaikh, Cassandra Ung, Diyi Yang, Felipe Chacon
Six Feet Apart: Online Payments During the COVID-19 Pandemic. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
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) (2022)
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)
Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Judy Hoffman, Duen Horng Chau
ConceptEvo: Interpreting Concept Evolution in Deep Learning Training. CoRR (2022)
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 (2022)
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 (2021)
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) (2021)
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 (2021)
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 (2021)
Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng (Polo) Chau
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization. IEEE Trans. Vis. Comput. Graph. 27 (2) (2021)
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)
Jon Saad-Falcon, Omar Shaikh, Zijie J. Wang, Austin P. Wright, Sasha Richardson, Duen Horng Chau
Mapping Researchers with PeopleMap. CoRR (2020)
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 (2020)
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. CHI Extended Abstracts (2020)
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. CIKM (2020)
Omar Shaikh, Jiaao Chen, Jon Saad-Falcon, Duen Horng Chau, Diyi Yang
Examining the Ordering of Rhetorical Strategies in Persuasive Requests. CoRR (2020)
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)
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 (2020)
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 (2020)
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 (2020)
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 (2020)
Omar Shaikh, Jiaao Chen, Jon Saad-Falcon, Polo Chau, Diyi Yang
Examining the Ordering of Rhetorical Strategies in Persuasive Requests. EMNLP (Findings) (2020)
Omar Shaikh, Yilu Sun, Andrea Stevenson Won
Movement Visualizer for Networked Virtual Reality Platforms. VR (2018)
Farrukh Shahzad, Tarek R. Sheltami, Elhadi M. Shakshuki, Omar Shaikh
A Review of Latest Web Tools and Libraries for State-of-the-art Visualization. EUSPN/ICTH (2016)