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20232026
most citedStudents' Perceptions and Preferences of Generative Artificial Intelligence Feedback for Programming

5 citations · 5 across the 19 of their papers we have counts for

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cs.AI2026

Style Over Substance: Content-Invariant Wrappers Flip LLM Safety-Judge Verdicts

Yongxi Zhou, Wenbo Ye, Yuanzhe Liu +3

Automatic safety judges -- for example Llama Guard, or GPT-4o given a grading prompt -- produce the numbers behind reported jailbreak success rates, defense evaluations, and safety…

cs.AI2026

Personalization as Inverse Planning: Learning Latent Design Intents for Agentic Slide Generation via Structural Denoising

Tianci Liu, Zihan Dong, Linjun Zhang +5

Slide design requires personalizing both deck themes and page layouts. Yet, current AI agent-based methods struggle with fine-grained, page-level design. Solely relying on prespeci…

cs.AI2026

How Benchmarks Mis-Score Computer-Use Agents

Zihan Dong, Zhiyuan Ma, Zekun Wang +5

Computer-use agents (CUA) are being deployed to browse the web and operate desktop software, yet their benchmark scores are still commonly produced by brittle scripted oracles. A s…

cs.AI2026

Evidence Over Plans: Online Trajectory Verification for Skill Distillation

Yang Zhou, Zihan Dong, Zhenting Wang +7

Agent skills can remarkably improve task success rates by using human-written procedural documents, but their quality is difficult to assess without environment-grounded verificati…

cs.AI2026

AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration

Jiaqi Liu, Shi Qiu, Mairui Li +33

Automating scientific discovery requires more than generating papers from ideas. Real research is iterative: hypotheses are challenged from multiple perspectives, experiments fail…