Introduces VG-GUIBench benchmark and TASKER keyframe extraction algorithm that improves performance on VideoQA and video-guided agentic tasks.
Computer-use agents as judges for generative user interface.arXiv preprint arXiv:2511.15567, 2025a
5 Pith papers cite this work. Polarity classification is still indexing.
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Cookie-Bench is a reference-free 1,000-query web development benchmark paired with Cookie-Frame, a metacognition-inspired three-stage framework (static perception, agent interaction, dynamic scoring) that aligns with human ratings on 13 frontier LLMs.
FlowEval evaluates generated UIs by measuring how closely their navigation flows match real websites via reference-based similarity metrics and shows strong correlation with human expert judgments.
A survey proposing a three-level capability taxonomy (L1 Predictor, L2 Simulator, L3 Evolver) for world models across physical, digital, social, and scientific domains.
A structured survey of multimodal code intelligence that formulates the field by code roles and organizes work into four domains while proposing verification-centered research directions.
citing papers explorer
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Bridging VideoQA and Video-Guided Agentic Tasks via Generalized Keyframe Extraction
Introduces VG-GUIBench benchmark and TASKER keyframe extraction algorithm that improves performance on VideoQA and video-guided agentic tasks.
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Cookie-Bench: Continuous On-screen Key Interaction Evaluation for Web Generation
Cookie-Bench is a reference-free 1,000-query web development benchmark paired with Cookie-Frame, a metacognition-inspired three-stage framework (static perception, agent interaction, dynamic scoring) that aligns with human ratings on 13 frontier LLMs.
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FlowEval: Reference-based Evaluation of Generated User Interfaces
FlowEval evaluates generated UIs by measuring how closely their navigation flows match real websites via reference-based similarity metrics and shows strong correlation with human expert judgments.
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Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond
A survey proposing a three-level capability taxonomy (L1 Predictor, L2 Simulator, L3 Evolver) for world models across physical, digital, social, and scientific domains.
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Beyond NL2Code: A Structured Survey of Multimodal Code Intelligence
A structured survey of multimodal code intelligence that formulates the field by code roles and organizes work into four domains while proposing verification-centered research directions.