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Showing papers from SungKyunKwan University Show all papers

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PCEval: A Benchmark for Evaluating Physical Computing Capabilities of Large Language Models

PCEval introduces an automatic benchmark revealing LLMs generate physical computing code well but fail at breadboard layouts and pin connections.

Inpyo Song, Eunji Chon, Jangwon Lee

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 1/5
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Remember Your Trace: Memory-Guided Long-Horizon Agentic Framework for Consistent and Hierarchical Repository-Level Code Documentation

MemDocAgent uses dependency-aware traversal and shared memory to generate consistent, hierarchical repository-level documentation in a single integrated context, outperforming both open- and closed-source baselines.

Suyoung Bae, Jaehoon Lee, Changkyu Choi, YunSeok Choi and 1 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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7/20 AI panelreviewers recommend it

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AI panel: 7 of 20 reviewers recommend it
lenient 4/5
medium 3/10
strict 0/5