[ICML 2026] Rule2DRC: Benchmarking LLM Agents for DRC Script Synthesis with Execution-Guided Test Generation
Jinuk Kim
jusjinuk
AI & ML interests
My research interests lie in constructing efficient machine learning system by solving tractable discrete and continuous optimization problem.
Organizations
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jusjinuk/act_say_hi
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jusjinuk/act_block_in_cup
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jusjinuk/Qwen3-32B-4bit-SqueezeLLM
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jusjinuk/Qwen3-32B-3bit-SqueezeLLM
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jusjinuk/Qwen3-32B-2bit-SqueezeLLM
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jusjinuk/Qwen3-32B-4bit-GuidedQuant-LNQ
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jusjinuk/Qwen3-32B-3bit-GuidedQuant-LNQ
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jusjinuk/Qwen3-32B-2bit-GuidedQuant-LNQ
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jusjinuk/Llama-2-70b-hf-4bit-GuidedQuant-QTIP
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jusjinuk/Llama-2-70b-hf-3bit-GuidedQuant-QTIP
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datasets 13
jusjinuk/Rule2DRC
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jusjinuk/eval_say_hi
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jusjinuk/say_hi
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jusjinuk/block_in_cup
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jusjinuk/MultiPL-E-fixed
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jusjinuk/OpenReasonerZero-with-system
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jusjinuk/OlympiadBench-with-system
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jusjinuk/r-manuals
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jusjinuk/racket-manuals
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jusjinuk/ocaml-manuals
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