3 papers
cs.CL2026
Is Discrete Difficulty Sufficient? Leveraging Continuous Difficulty for Efficient Self-Consistency in LLMs
Sihyeong Yeom, Geon Park, Geunyeong Jeong +3
Self-Consistency (SC) is a decoding strategy that samples diverse reasoning paths and selects the most consistent answer, demonstrating strong performance on complex reasoning prob…
cs.CL2026
Breaking the Pre-Sampling Barrier: Activation-Informed Difficulty-Aware Self-Consistency
Taewoong Yoon, Geunyeong Jeong, Geon Park +2
Self-Consistency (SC) is an effective decoding strategy that improves the reasoning performance of Large Language Models (LLMs) by generating multiple chain-of-thought reasoning pa…
cs.CE2024
Design optimization of semiconductor manufacturing equipment using a novel multi-fidelity surrogate modeling approach
Bingran Wang, Min Sung Kim, Taewoong Yoon +4
Careful design of semiconductor manufacturing equipment is crucial for ensuring the performance, yield, and reliability of semiconductor devices. Despite this, numerical optimizati…