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20242026
most citedScholarMate: A Mixed-Initiative Tool for Qualitative Knowledge Work and Information Sensemaking

6 citations · 7 across the 13 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

cs.AI2026

EngiWorld: What Can Frontier Agents Deliver in Professional Engineering Environments?

Hongcheng Gao, Hailong Qu, Yu Lei +19

Autonomous agents have made rapid progress in general-purpose computer use, yet reliable automation of professional industrial engineering remains out of reach. Engineering workflo…

cs.AI2026

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks

Hongcheng Gao, Hailong Qu, Jingyi Tang +18

Spatial reasoning is a foundational capability for multimodal large language models (MLLMs) to perceive and operate within the physical world. However, existing benchmarks predomin…

cs.HC2026

Exploring Emerging Norms of AI Attribution and Disclosure in Programming Education

Runlong Ye, Oliver Huang, Jessica He +1

Generative AI blurs the lines of authorship in computing education, creating uncertainty around how students should attribute AI assistance. To examine these emerging norms, we con…

cs.HC2026★ 1 cited

Reflexis: Supporting Reflexivity and Rigor in Collaborative Qualitative Analysis through Design for Deliberation

Runlong Ye, Oliver Huang, Patrick Yung Kang Lee +3

Reflexive Thematic Analysis (RTA) is a critical method for generating deep interpretive insights. Yet its core tenets, including researcher reflexivity, tangible analytical evoluti…

cs.HC2026

TreeWriter: AI-Assisted Hierarchical Planning and Writing for Long-Form Documents

Zijian Zhang, Fangshi Du, Xingjian Liu +5

Long documents pose many challenges to current intelligent writing systems. These include maintaining consistency across sections, sustaining efficient planning and writing as docu…

cs.HC2026

Narrative Scaffolding: A Narrative-First Framework for Data-Driven Sensemaking

Oliver Huang, Muhammad Fatir, Steven Luo +3

When exploring data, analysts construct narratives about what the data means by asking questions, generating visualizations, reflecting on patterns, and revising their interpretati…