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cs.CL2026
Preference Packing: Efficient Preference Optimization for Large Language Models
Jaekyung Cho
Resource-efficient training optimization techniques are becoming increasingly important as the size of large language models (LLMs) continues to grow. In particular, batch packing…
cs.CL2025
K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean
Minkyeong Jeon, Hyemin Jeong, Yerang Kim +3
Language detoxification involves removing toxicity from offensive language. While a neutral-toxic paired dataset provides a straightforward approach for training detoxification mod…