A Review of Latest Web Tools and Libraries for State-of-the-art Visualization. - Farrukh Shahzad 001; Tarek R. Sheltami; Elhadi M. Shakshuki; Omar Shaikh (EUSPN/ICTH, 2016)

Movement Visualizer for Networked Virtual Reality Platforms. - Omar Shaikh; Yilu Sun; Andrea Stevenson Won (VR, 2018)

RECAST: Interactive Auditing of Automatic Toxicity Detection Models. - Austin P. Wright; Omar Shaikh; Haekyu Park; Will Epperson; Muhammed Ahmed; Stephane Pinel; Diyi Yang; Duen Horng Chau (CCHI, 2020)

CNN 101: Interactive Visual Learning for Convolutional Neural Networks. - Zijie J. Wang; Robert Turko; Omar Shaikh; Haekyu Park; Nilaksh Das; Fred Hohman; Minsuk Kahng; Duen Horng Chau (CHI Extended Abstracts, 2020)

Argo Lite: Open-Source Interactive Graph Exploration and Visualization in Browsers. - Siwei Li; Zhiyan Zhou; Anish Upadhayay; Omar Shaikh; Scott Freitas; Haekyu Park; Zijie J. Wang; Susanta Routray; Matthew Hull; Duen Horng Chau (CIKM, 2020)

Examining the Ordering of Rhetorical Strategies in Persuasive Requests. - Omar Shaikh; Jiaao Chen; Jon Saad-Falcon; Polo Chau; Diyi Yang (EMNLP (Findings), 2020)

PeopleMap: Visualization Tool for Mapping Out Researchers using Natural Language Processing. - Jon Saad-Falcon; Omar Shaikh; Zijie J. Wang; Austin P. Wright; Sasha Richardson; Duen Horng Chau (CoRR, 2020)

Mapping Researchers with PeopleMap. - Jon Saad-Falcon; Omar Shaikh; Zijie J. Wang; Austin P. Wright; Sasha Richardson; Duen Horng Chau (CoRR, 2020)

EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models. - Omar Shaikh; Jon Saad-Falcon; Austin P. Wright; Nilaksh Das; Scott Freitas; Omar Isaac Asensio; Duen Horng Chau (CHI Extended Abstracts, 2021)

RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization. - Austin P. Wright; Omar Shaikh; Haekyu Park; Will Epperson; Muhammed Ahmed; Stephane Pinel; Duen Horng (Polo) Chau; Diyi Yang (Proc. ACM Hum. Comput. Interact., 2021)

CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization. - Zijie J. Wang; Robert Turko; Omar Shaikh; Haekyu Park; Nilaksh Das; Fred Hohman; Minsuk Kahng; Duen Horng (Polo) Chau (IEEE Trans. Vis. Comput. Graph., 2021)

MisVis: Explaining Web Misinformation Connections via Visual Summary. - Seongmin Lee 007; Sadia Afroz 001; Haekyu Park; Zijie J. Wang; Omar Shaikh; Vibhor Sehgal; Ankit Peshin; Duen Horng Chau (CHI Extended Abstracts, 2022)

Explaining Website Reliability by Visualizing Hyperlink Connectivity. - Seongmin Lee 007; Sadia Afroz 001; Haekyu Park; Zijie J. Wang; Omar Shaikh; Vibhor Sehqal; Ankit Peshin; Duen Horng Chau (IEEE VIS (Short Papers), 2022)

ConceptEvo: Interpreting Concept Evolution in Deep Learning Training. - Haekyu Park; Seongmin Lee 007; Benjamin Hoover; Austin P. Wright; Omar Shaikh; Rahul Duggal; Nilaksh Das; Judy Hoffman; Duen Horng Chau (CoRR, 2022)

Explaining Website Reliability by Visualizing Hyperlink Connectivity. - Seongmin Lee 007; Sadia Afroz 001; Haekyu Park; Zijie J. Wang; Omar Shaikh; Vibhor Sehgal; Ankit Peshin; Duen Horng Chau (CoRR, 2022)

Six Feet Apart: Online Payments During the COVID-19 Pandemic. - Omar Shaikh; Cassandra Ung; Diyi Yang; Felipe A. Chacon (Proc. ACM Hum. Comput. Interact., 2022)

NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks. - Haekyu Park; Nilaksh Das; Rahul Duggal; Austin P. Wright; Omar Shaikh; Fred Hohman; Duen Horng (Polo) Chau (IEEE Trans. Vis. Comput. Graph., 2022)

On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning. - Omar Shaikh; Hongxin Zhang 005; William Held; Michael S. Bernstein; Diyi Yang (ACL (1), 2023)

Modeling Cross-Cultural Pragmatic Inference with Codenames Duet. - Omar Shaikh; Caleb Ziems; William Held; Aryan J. Pariani; Fred Morstatter; Diyi Yang (ACL (Findings), 2023)

Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries. - Haekyu Park; Seongmin Lee 007; Benjamin Hoover; Austin P. Wright; Omar Shaikh; Rahul Duggal; Nilaksh Das; Kevin Li; Judy Hoffman; Duen Horng Chau (CIKM, 2023)

Grounding or Guesswork? Large Language Models are Presumptive Grounders. - Omar Shaikh; Kristina Gligoric; Ashna Khetan; Matthias Gerstgrasser; Diyi Yang; Dan Jurafsky (CoRR, 2023)

Rehearsal: Simulating Conflict to Teach Conflict Resolution. - Omar Shaikh; Valentino Emil Chai; Michele Gelfand; Diyi Yang; Michael S. Bernstein (CHI, 2024)

Grounding Gaps in Language Model Generations. - Omar Shaikh; Kristina Gligoric; Ashna Khetan; Matthias Gerstgrasser; Diyi Yang; Dan Jurafsky (NAACL-HLT, 2024)

Social Skill Training with Large Language Models. - Diyi Yang; Caleb Ziems; William Held; Omar Shaikh; Michael S. Bernstein; John C. Mitchell (CoRR, 2024)

Show, Don't Tell: Aligning Language Models with Demonstrated Feedback. - Omar Shaikh; Michelle S. Lam; Joey Hejna; Yijia Shao; Michael S. Bernstein; Diyi Yang (CoRR, 2024)

Can Large Language Models Transform Computational Social Science? - Caleb Ziems; William Held; Omar Shaikh; Jiaao Chen; Zhehao Zhang 001; Diyi Yang (Comput. Linguistics, 2024)

SynthesizeMe! Inducing Persona-Guided Prompts for Personalized Reward Models in LLMs. - Michael J. Ryan; Omar Shaikh; Aditri Bhagirath; Daniel Frees; William Barr Held; Diyi Yang (ACL (1), 2025)

Navigating Rifts in Human-LLM Grounding: Study and Benchmark. - Omar Shaikh; Hussein Mozannar; Gagan Bansal; Adam Fourney; Eric Horvitz (ACL (1), 2025)

Aligning Language Models with Demonstrated Feedback. - Omar Shaikh; Michelle S. Lam; Joey Hejna; Yijia Shao; Hyundong Justin Cho; Michael S. Bernstein; Diyi Yang (ICLR, 2025)

Creating General User Models from Computer Use. - Omar Shaikh; Shardul Sapkota; Shan Rizvi; Eric Horvitz; Joon Sung Park; Diyi Yang; Michael S. Bernstein (CoRR, 2025)

SynthesizeMe! Inducing Persona-Guided Prompts for Personalized Reward Models in LLMs. - Michael J. Ryan; Omar Shaikh; Aditri Bhagirath; Daniel Frees; William Held; Diyi Yang (CoRR, 2025)