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Author

Hwan Chang

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#artificial intelligence Preprint Sep 2026

Ready2Blend: From Natural-Language Instructions to Composable Alignment Prompts

Continual alignment requires LLMs to adapt to new requirements without forgetting previously acquired behaviors. Natural-language instructions are flexible and composable but offer only indirect control, whereas post-training provides stronger adaptation at the cost of repeated parameter updates. We introduce Ready2Ble...

Jeesu Jung, Hwan Chang, Juseon Do et al. · 0 citations
#natural language process... Open access Sep 2026

Leveraging fine-grained error correction in Korean speech recognition for consultation services

This work introduces DasanCallDial, the first large-scale Korean benchmark dataset specifically curated for dialogue-level ASR error correction, and proposes Detector-Gated Contextual Span Correction (DCSC), a text-only post-editing framework for error-sparse Korean speech recognition transcripts.

Yonghyun Jun, Ji-Min Lee, Hwan Chang et al. · 0 citations

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