List рдкрд░ рд╡рд╛рдкрд╕ рдЬрд╛рдПрдБ
ЁЯУДPapers

EvoGenUI-Bench: Evaluating Multi-Turn Generative UI Assistants

Peng Y. et al.
2026-08

рдкрд░рд┐рдЪрдп

August 2026 benchmark testing whether LLM assistants can maintain one executable web interface as user requirements evolve. EvoGenUI-Bench contains 150 five-turn tasks across information presentation, stateful interaction, and tool-grounded external state, with browser-based evaluation over screenshots, DOM and source evidence, actor traces, and runtime logs.

рд╕рд╛рд░рд╛рдВрд╢

Why EvoGenUI-Bench Adds New Signal:

1. Evaluates interface evolution: Tests cumulative revisions to one artifact instead of isolated page generation
2. Measures requirement retention: Introduces Adjacent Pass Retention to show whether a correct interface stays correct after the next request
3. Executes every artifact: Grounds scoring in browser behavior, rendered output, source, DOM, traces, logs, and external-state readback
4. Exposes a reliability gap: The strongest model reaches 74.9% turn success but completes only 37.3% of five-turn episodes
5. Diagnoses concrete failures: Separates information-architecture, derived-state, affordance-binding, external-grounding, and requirement-decomposition breakdowns

Tags

generative-uimulti-turnbenchmarkstate-managementbrowser-evaluation
рдореВрд▓ рд▓реЗрдЦ рдкрдврд╝реЗрдВ

рдорд┐рд▓рддреЗ-рдЬреБрд▓рддреЗ рд▓реЗрдЦ

ЁЯУДPapers

Maru: Information Architecture for Aligned, Persistent Generative UI

August 2026 HCI paper introducing information architecture as shared state for Generative UI. Maru captures how users partition, order, name, and prioritize information, turns those choices into persistent rules, and applies them across successive interface generations instead of rebuilding structure from each prompt.

generative-uiinformation-architecturepersonalization
рд▓реЗрдЦрдХ Kim E. et al. ┬╖ 2026-08
рдФрд░ рдкрдврд╝реЗрдВ
ЁЯУДPapers

SchemaGUI: A Schema-Driven Benchmark for Controllable GUI Generation

August 2026 benchmark for evaluating LLM-generated interfaces with deterministic annotations instead of noisy human labels. SchemaGUI synthesizes bilingual instructions and function-call references from parameterized UI schemas, then measures feasibility, geometry, and layout complexity across six scenarios and five models.

ui-generationbenchmarkschema-driven
рд▓реЗрдЦрдХ Dong J. et al. ┬╖ 2026-08
рдФрд░ рдкрдврд╝реЗрдВ
ЁЯУДPapers

RAGE-Vis: A Relation-Aware Generative Editing Interface for Chart Editing

ChinaVis 2026 paper introducing a Generative UI for natural-language chart editing. RAGE-Vis turns bitmap charts into editable parameterized representations, parses composite requests, and generates hierarchical panels with coordinated global and local controls for underspecified editing intents.

generative-uidata-visualizationnatural-language-editing
рд▓реЗрдЦрдХ Kang Z. et al. ┬╖ 2026-08
рдФрд░ рдкрдврд╝реЗрдВ

Generative UI resources рдХрд╛ curated рд╕рдВрдЧреНрд░рд╣ред

рдмрдирд╛рдпрд╛ рдЧрдпрд╛ тЭдя╕П community рджреНрд╡рд╛рд░рд╛