Papers by Seung Jin Lee

2 papers
A Testset for Context-Aware LLM Translation in Korean-to-English Discourse Level Translation (2025.coling-main)

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Challenge: Recent studies indicate that for high-resource languages, LLM surpasses encoder-decoder neural machine translation (NMT) models.
Approach: They propose to construct a Korean-English discourse-level corpus with 600 text instances featuring six linguistic phenomena: lexical ambiguity, zero anaphora, slang, idiom, figurative language, and implicature.
Outcome: The proposed corpus of 600 text instances features six linguistic phenomena, including lexical ambiguity, zero anaphora, slang, idiom, figurative language, and implicature.
LLM Agents at the Roundtable: A Multi-Perspective and Dialectical Reasoning Framework for Essay Scoring (2025.findings-emnlp)

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Challenge: a new framework for automated essay scoring is needed to achieve multi-perspective understanding and judgment.
Approach: They propose a roundtable essay scoring framework that performs precise and human-aligned scoring under a zero-shot setting.
Outcome: The proposed framework outperforms previous zero-shot AES approaches by enabling collaboration among agents with diverse evaluation perspectives.

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