Filter by theme: All Evaluation & Benchmarks Agentic Systems Synthetic Data Human–AI Interaction
2026 SynthWorlds: Controlled Parallel Worlds for Disentangling Reasoning and Knowledge in Language Models
Ken Gu , Advait Bhat, Mike A. Merrill, Robert West, Xin Liu, and 2 more authors
ICLR 2026
"I Need to Find That One Chart": How Data Workers Navigate, Make Sense of, and Communicate Analytical Conversations
Ken Gu , Srishti Palani, and Vidya Setlur
CHI 2026
🏅 Best Paper Honorable Mention
Completion ≠Collaboration: Scaling Collaborative Effort with Agents
Shannon Zejiang Shen*, Valerie Chen*, Ken Gu , Alexis Ross, Zixian Ma, and 9 more authors
ACL Findings 2026
🏅 NeurIPS Workshop on Responsible Foundation Models 2025 Best Paper
Capable language models can outgrow the benefits of collaboration
Yubin Kim, Ken Gu , Chanwoo Park, Chunjong Park, Samuel Schmidgall, and 15 more authors
Nature Machine Intelligence 2026
The Anatomy of a Personal Health Agent
A. Ali Heydari*, Ken Gu* , Vidya Srinivas*, Hong Yu*, Akshay Paruchuri*, and 35 more authors
Nature 2026
2025 RADAR: Benchmarking Language Models on Imperfect Tabular Data
Ken Gu , Zhihan Zhang, Kate Lin, Yuwei Zhang, Akshay Paruchuri, and 16 more authors
NeurIPS 2025
Integrated in Gemini
LSM-2: Learning from Incomplete Wearable Sensor Data
Maxwell A. Xu, Girish Narayanswamy, Kumar Ayush, Dimitris Spathis, Shun Liao, Shyam A. Tailor, Ahmed Metwally, A. Ali Heydari, Yuwei Zhang, Jake Garrison, Samy Abdel-Ghaffar, Xuhai Xu, Ken Gu , and 12 more authors
Preprint 2025
2024 BLADE: Benchmarking Language Model Agents for Data-Driven Science
Ken Gu , Ruoxi Shang, Ruien Jiang, Keying Kuang, Richard-John Lin, and 11 more authors
EMNLP 2024
How Do Data Analysts Respond to AI Assistance? A Wizard-of-Oz Study
Ken Gu , Madeleine Grunde-McLaughlin, Andrew M. McNutt, Jeffrey Heer, and Tim Althoff
CHI 2024
How Do Analysts Understand and Verify AI-Assisted Data Analyses?
Ken Gu , Ruoxi Shang, Tim Althoff, Chenglong Wang, and Steven M. Drucker
CHI 2024
2023 Understanding and Supporting Debugging Workflows in Multiverse Analysis
Ken Gu , Eunice Jun, and Tim Althoff
CHI 2023
2021 A Package for Learning on Tabular and Text Data with Transformers
Ken Gu , and Akshay Budhkar
NAACL Workshop on Multimodal Artificial Intelligence 2021
Package has over 60K downloads!
2020 Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction
Yunsheng Bai*, Ken Gu* , Yizhou Sun, and Wei Wang
ICML Graph Representation and Beyond 2020
Learning-Based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching
Yunsheng Bai, Haoyang Ding, Ken Gu , Yizhou Sun, and Wei Wang
AAAI 2020
2019 Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity
Yunsheng Bai, Haoyang Ding, Yang Qiao, Agustin Marinovic, Ken Gu , and 3 more authors
IJCAI 2019
SynthWorlds: Controlled Parallel Worlds for Disentangling Reasoning and Knowledge in Language ModelsICLR 2026
"I Need to Find That One Chart": How Data Workers Navigate, Make Sense of, and Communicate Analytical ConversationsCHI 2026🏅 Best Paper Honorable Mention
Completion ≠Collaboration: Scaling Collaborative Effort with AgentsACL Findings 2026🏅 NeurIPS Workshop on Responsible Foundation Models 2025 Best Paper
Capable language models can outgrow the benefits of collaborationNature Machine Intelligence 2026
The Anatomy of a Personal Health AgentNature 2026
RADAR: Benchmarking Language Models on Imperfect Tabular DataNeurIPS 2025Integrated in Gemini
BLADE: Benchmarking Language Model Agents for Data-Driven ScienceEMNLP 2024
How Do Data Analysts Respond to AI Assistance? A Wizard-of-Oz StudyCHI 2024
How Do Analysts Understand and Verify AI-Assisted Data Analyses?CHI 2024
Understanding and Supporting Debugging Workflows in Multiverse AnalysisCHI 2023
Learning-Based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set MatchingAAAI 2020
