Omar Shaikh

51 papers A* 5A 2Journal 31Unranked 13
YearRankTypeTitle / Venue / Authors
2026 A* conf
Just-In-Time Objectives: A General Approach for Specialized AI Interactions.
CHI
Michelle S. Lam, Omar Shaikh, Hallie Xu, Alice Guo, Diyi Yang, Jeffrey Heer, James A. Landay, Michael S. Bernstein
2026 J jnl
Learning Next Action Predictors from Human-Computer Interaction.
CoRR
Omar Shaikh, Valentin Teutschbein, Kanishk Gandhi, Yikun Chi, Nick Haber, Thomas N. Robinson, Nilam Ram, Byron Reeves, Sherry Yang, Michael S. Bernstein, Diyi Yang
2025 A* conf
Aligning Language Models with Demonstrated Feedback.
ICLR
Omar Shaikh, Michelle S. Lam, Joey Hejna, Yijia Shao, Hyundong Justin Cho, Michael S. Bernstein, Diyi Yang
2025 — conf
Comparing Text-Only and Virtual Reality-Embodied Conversational AI Agents for Interpersonal Skills Training.
CSCW Companion
Yejoon Yoo, Yilu Sun, Omar Shaikh, Andrea Stevenson Won
2025 A* conf
Creating General User Models from Computer Use.
UIST
Omar Shaikh, Shardul Sapkota, Shan Rizvi, Eric Horvitz, Joon Sung Park, Diyi Yang, Michael S. Bernstein
2025 J jnl
Creating General User Models from Computer Use.
CoRR
Omar Shaikh, Shardul Sapkota, Shan Rizvi, Eric Horvitz, Joon Sung Park, Diyi Yang, Michael S. Bernstein
2025 J jnl
How Do AI Agents Do Human Work? Comparing AI and Human Workflows Across Diverse Occupations.
CoRR
Zora Zhiruo Wang, Yijia Shao, Omar Shaikh, Daniel Fried, Graham Neubig, Diyi Yang
2025 J jnl
Just-In-Time Objectives: A General Approach for Specialized AI Interactions.
CoRR
Michelle S. Lam, Omar Shaikh, Hallie Xu, Alice Guo, Diyi Yang, Jeffrey Heer, James A. Landay, Michael S. Bernstein
2025 — conf
Navigating Rifts in Human-LLM Grounding: Study and Benchmark.
ACL (1)
Omar Shaikh, Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz
2025 J jnl
Navigating Rifts in Human-LLM Grounding: Study and Benchmark.
CoRR
Omar Shaikh, Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz
2025 — conf
SynthesizeMe! Inducing Persona-Guided Prompts for Personalized Reward Models in LLMs.
ACL (1)
Michael J. Ryan, Omar Shaikh, Aditri Bhagirath, Daniel Frees, William Barr Held, Diyi Yang
2025 J jnl
SynthesizeMe! Inducing Persona-Guided Prompts for Personalized Reward Models in LLMs.
CoRR
Michael J. Ryan, Omar Shaikh, Aditri Bhagirath, Daniel Frees, William Barr Held, Diyi Yang
2024 J jnl
Can Large Language Models Transform Computational Social Science?
Comput. Linguistics
Caleb Ziems, William Barr Held, Omar Shaikh, Jiaao Chen, Zhehao Zhang, Diyi Yang
2024 — conf
Grounding Gaps in Language Model Generations.
NAACL-HLT
Omar Shaikh, Kristina Gligoric, Ashna Khetan, Matthias Gerstgrasser, Diyi Yang, Dan Jurafsky
2024 A* conf
Rehearsal: Simulating Conflict to Teach Conflict Resolution.
CHI
Omar Shaikh, Valentino Emil Chai, Michele Gelfand, Diyi Yang, Michael S. Bernstein
2024 J jnl
Show, Don't Tell: Aligning Language Models with Demonstrated Feedback.
CoRR
Omar Shaikh, Michelle S. Lam, Joey Hejna, Yijia Shao, Michael S. Bernstein, Diyi Yang
2024 J jnl
Social Skill Training with Large Language Models.
CoRR
Diyi Yang, Caleb Ziems, William Barr Held, Omar Shaikh, Michael S. Bernstein, John C. Mitchell
2023 J jnl
Can Large Language Models Transform Computational Social Science?
CoRR
Caleb Ziems, William Barr Held, Omar Shaikh, Jiaao Chen, Zhehao Zhang, Diyi Yang
2023 A conf
Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries.
CIKM
Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Kevin Li, Judy Hoffman, Duen Horng Chau
2023 J jnl
Grounding or Guesswork? Large Language Models are Presumptive Grounders.
CoRR
Omar Shaikh, Kristina Gligoric, Ashna Khetan, Matthias Gerstgrasser, Diyi Yang, Dan Jurafsky
2023 — conf
Modeling Cross-Cultural Pragmatic Inference with Codenames Duet.
ACL (Findings)
Omar Shaikh, Caleb Ziems, William Barr Held, Aryan J. Pariani, Fred Morstatter, Diyi Yang
2023 J jnl
Modeling Cross-Cultural Pragmatic Inference with Codenames Duet.
CoRR
Omar Shaikh, Caleb Ziems, William Barr Held, Aryan J. Pariani, Fred Morstatter, Diyi Yang
2023 — conf
On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning.
ACL (1)
Omar Shaikh, Hongxin Zhang, William Barr Held, Michael S. Bernstein, Diyi Yang
2023 J jnl
Rehearsal: Simulating Conflict to Teach Conflict Resolution.
CoRR
Omar Shaikh, Valentino Chai, Michele J. Gelfand, Diyi Yang, Michael S. Bernstein
2022 J jnl
ConceptEvo: Interpreting Concept Evolution in Deep Learning Training.
CoRR
Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Judy Hoffman, Duen Horng Chau
2022 — conf
Explaining Website Reliability by Visualizing Hyperlink Connectivity.
IEEE VIS (Short Papers)
Seongmin Lee, Sadia Afroz, Haekyu Park, Zijie J. Wang, Omar Shaikh, Vibhor Sehqal, Ankit Peshin, Duen Horng Chau
2022 J jnl
Explaining Website Reliability by Visualizing Hyperlink Connectivity.
CoRR
Seongmin Lee, Sadia Afroz, Haekyu Park, Zijie J. Wang, Omar Shaikh, Vibhor Sehgal, Ankit Peshin, Duen Horng Chau
2022 — conf
MisVis: Explaining Web Misinformation Connections via Visual Summary.
CHI Extended Abstracts
Seongmin Lee, Sadia Afroz, Haekyu Park, Zijie J. Wang, Omar Shaikh, Vibhor Sehgal, Ankit Peshin, Duen Horng Chau
2022 J jnl
NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks.
IEEE Trans. Vis. Comput. Graph.
Haekyu Park, Nilaksh Das, Rahul Duggal, Austin P. Wright, Omar Shaikh, Fred Hohman, Duen Horng (Polo) Chau
2022 J jnl
On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning.
CoRR
Omar Shaikh, Hongxin Zhang, William Barr Held, Michael S. Bernstein, Diyi Yang
2022 J jnl
Six Feet Apart: Online Payments During the COVID-19 Pandemic.
CoRR
Omar Shaikh, Cassandra Ung, Diyi Yang, Felipe A. Chacon
2022 J jnl
Six Feet Apart: Online Payments During the COVID-19 Pandemic.
Proc. ACM Hum. Comput. Interact.
Omar Shaikh, Cassandra Ung, Diyi Yang, Felipe A. Chacon
2021 J jnl
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization.
IEEE Trans. Vis. Comput. Graph.
Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng (Polo) Chau
2021 — conf
EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models.
CHI Extended Abstracts
Omar Shaikh, Jon Saad-Falcon, Austin P. Wright, Nilaksh Das, Scott Freitas, Omar Isaac Asensio, Duen Horng Chau
2021 J jnl
EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models.
CoRR
Omar Shaikh, Jon Saad-Falcon, Austin P. Wright, Nilaksh Das, Scott Freitas, Omar Isaac Asensio, Duen Horng Chau
2021 J jnl
NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks.
CoRR
Haekyu Park, Nilaksh Das, Rahul Duggal, Austin P. Wright, Omar Shaikh, Fred Hohman, Duen Horng Chau
2021 J jnl
RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization.
CoRR
Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Duen Horng Chau, Diyi Yang
2021 J jnl
RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization.
Proc. ACM Hum. Comput. Interact.
Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Duen Horng (Polo) Chau, Diyi Yang
2020 A conf
Argo Lite: Open-Source Interactive Graph Exploration and Visualization in Browsers.
CIKM
Siwei Li, Zhiyan Zhou, Anish Upadhayay, Omar Shaikh, Scott Freitas, Haekyu Park, Zijie J. Wang, Susanta Routray, Matthew Hull, Duen Horng Chau
2020 J jnl
Argo Lite: Open-Source Interactive Graph Exploration and Visualization in Browsers.
CoRR
Siwei Li, Zhiyan Zhou, Anish Upadhayay, Omar Shaikh, Scott Freitas, Haekyu Park, Zijie J. Wang, Susanta Routray, Matthew Hull, Duen Horng Chau
2020 — conf
CNN 101: Interactive Visual Learning for Convolutional Neural Networks.
CHI Extended Abstracts
Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau
2020 J jnl
CNN 101: Interactive Visual Learning for Convolutional Neural Networks.
CoRR
Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau
2020 J jnl
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization.
CoRR
Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau
2020 — conf
Examining the Ordering of Rhetorical Strategies in Persuasive Requests.
EMNLP (Findings)
Omar Shaikh, Jiaao Chen, Jon Saad-Falcon, Polo Chau, Diyi Yang
2020 J jnl
Examining the Ordering of Rhetorical Strategies in Persuasive Requests.
CoRR
Omar Shaikh, Jiaao Chen, Jon Saad-Falcon, Duen Horng Chau, Diyi Yang
2020 J jnl
Mapping Researchers with PeopleMap.
CoRR
Jon Saad-Falcon, Omar Shaikh, Zijie J. Wang, Austin P. Wright, Sasha Richardson, Duen Horng Chau
2020 J jnl
PeopleMap: Visualization Tool for Mapping Out Researchers using Natural Language Processing.
CoRR
Jon Saad-Falcon, Omar Shaikh, Zijie J. Wang, Austin P. Wright, Sasha Richardson, Duen Horng Chau
2020 — conf
RECAST: Interactive Auditing of Automatic Toxicity Detection Models.
CCHI
Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Diyi Yang, Duen Horng Chau
2020 J jnl
RECAST: Interactive Auditing of Automatic Toxicity Detection Models.
CoRR
Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Diyi Yang, Duen Horng Chau
2018 A* conf
Movement Visualizer for Networked Virtual Reality Platforms.
VR
Omar Shaikh, Yilu Sun, Andrea Stevenson Won
2016 — conf
A Review of Latest Web Tools and Libraries for State-of-the-art Visualization.
EUSPN/ICTH
Farrukh Shahzad, Tarek R. Sheltami, Elhadi M. Shakshuki, Omar Shaikh