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Jeonghwan Choi

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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

Preprint Jul 2026

Towards Query-Agnostic RAG Evaluation via Query Coverage and Claim Verifiability

On a human-annotated benchmark spanning eight datasets, Q-CARE achieves higher correlation with human judgments than four existing RAG evaluation metrics, including RAGEval and RAGChecker, proving its effectiveness as a reliable, automated evaluation framework.

Jeonghwan Choi, Taewon Yun, Minjeong Ban et al. · 1 citation