Papers by YoungJoon Jang

2 papers
Where am I? Large Language Models Wandering between Semantics and Structures in Long Contexts (2024.emnlp-main)

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Challenge: Existing evaluations of the open-domain question answering task focus solely on whether the model provides the correct answer.
Approach: They propose to examine the phenomenon of discrepancies in abilities across two distinct tasks—QA and evidence selection—when performed simultaneously.
Outcome: The proposed framework and resources examines the ability of large language models to perform two distinct tasks simultaneously, from the perspective of task alignment.
StoryCoder: Narrative Reformulation for Structured Reasoning in LLM Code Generation (2026.acl-long)

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Challenge: Existing approaches augment reasoning steps or inject specific structure into how models think, but leave scattered problem conditions unchanged.
Approach: They propose a narrative reformulation framework that transforms code generation questions into coherent natural language narratives.
Outcome: The proposed framework improves the performance of 11 code generation models on HumanEval, LiveCodeBench, and CodeForces.

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