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We stand with Ukraine

Hyounghun Kim

Orcid: 0009-0008-3382-7510

According to our database¹, Hyounghun Kim authored at least 38 papers between 2018 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

On csauthors.net:

Bibliography

2026

Decompose-and-Refine: Structured Legal Question Answering with Parametric Retrieval.

[DOI]

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CoRR, May, 2026

A Multi-Agent Framework for Feature-Constrained Difficulty Control in Reading Comprehension Item Generation.

[DOI]

Seonjeong Hwang

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Gary Geunbae Lee

CoRR, May, 2026

Behavior-Aware Item Modeling via Dynamic Procedural Solution Representations for Knowledge Tracing.

[DOI]

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Gary Geunbae Lee

CoRR, April, 2026

PSY-STEP: Structuring Therapeutic Targets and Action Sequences for Proactive Counseling Dialogue Systems.

[DOI]

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Gary Geunbae Lee

CoRR, April, 2026

AQuA: Toward Strategic Response Generation for Ambiguous Visual Questions.

[DOI]

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CoRR, March, 2026

Mixture-of-Experts with Intermediate CTC Supervision for Accented Speech Recognition.

[DOI]

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Gary Geunbae Lee

CoRR, February, 2026

Mixture-of-Experts with Intermediate CTC Supervision for Accented Speech Recognition.

[DOI]

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Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

A Multi-Agent Framework for Feature-Constrained Difficulty Control in Reading Comprehension Item Generation.

[DOI]

Seonjeong Hwang

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Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Can LLMs Estimate Cognitive Complexity of Reading Comprehension Items?

[DOI]

Seonjeong Hwang

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Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Why Do Multilingual Reasoning Gaps Emerge in Reasoning Language Models?

[DOI]

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Seonjeong Hwang

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Gary Geunbae Lee

CoRR, October, 2025

Can LLMs Estimate Cognitive Complexity of Reading Comprehension Items?

[DOI]

Seonjeong Hwang

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Gary Geunbae Lee

CoRR, October, 2025

PanicToCalm: A Proactive Counseling Agent for Panic Attacks.

[DOI]

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Gary Geunbae Lee

CoRR, October, 2025

Progressive Facial Granularity Aggregation with Bilateral Attribute-based Enhancement for Face-to-Speech Synthesis.

[DOI]

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Gary Geunbae Lee

CoRR, September, 2025

PanicToCalm: A Proactive Counseling Agent for Panic Attacks.

[DOI]

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Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

KoBLEX: Open Legal Question Answering with Multi-hop Reasoning.

[DOI]

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Seonjeong Hwang

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Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

ChronoBias: A Benchmark for Evaluating Temporal Group Bias in the Time-sensitive Knowledge of Large Language Models.

[DOI]

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Progressive Facial Granularity Aggregation with Bilateral Attribute-based Enhancement for Face-to-Speech Synthesis.

[DOI]

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Self-Correcting Code Generation Using Small Language Models.

[DOI]

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Revealing the Inherent Instructability of Pre-Trained Language Models.

[DOI]

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Enabling Chatbots with Eyes and Ears: An Immersive Multimodal Conversation System for Dynamic Interactions.

[DOI]

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Dilek Hakkani-Tür

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Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Response Tuning: Aligning Large Language Models without Instruction.

[DOI]

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CoRR, 2024

Mixed-Session Conversation with Egocentric Memory.

[DOI]

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Collective Critics for Creative Story Generation.

[DOI]

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Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Conversation Chronicles: Towards Diverse Temporal and Relational Dynamics in Multi-Session Conversations.

[DOI]

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Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Sound of Story: Multi-modal Storytelling with Audio.

[DOI]

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Beyond the Boundaries of Individual Universities: Allegiance to Digital Humanities Education in Korea.

[DOI]

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Proceedings of the Annual International Conference of the Alliance of Digital Humanities Organizations, 2023

2022

Multimodal and Embodied Learning with Language as the Anchor.

[DOI]

PhD thesis, 2022

CoSIm: Commonsense Reasoning for Counterfactual Scene Imagination.

[DOI]

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Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

On the Limits of Evaluating Embodied Agent Model Generalization Using Validation Sets.

[DOI]

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Aishwarya Padmakumar

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Dilek Hakkani-Tur

Proceedings of the Third Workshop on Insights from Negative Results in NLP, 2022

CAISE: Conversational Agent for Image Search and Editing.

[DOI]

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Franck Dernoncourt

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Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

NDH-Full: Learning and Evaluating Navigational Agents on Full-Length Dialogue.

[DOI]

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Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Continuous Language Generative Flow.

[DOI]

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Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

FIXMYPOSE: Pose Correctional Captioning and Retrieval.

[DOI]

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Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

ArraMon: A Joint Navigation-Assembly Instruction Interpretation Task in Dynamic Environments.

[DOI]

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Dense-Caption Matching and Frame-Selection Gating for Temporal Localization in VideoQA.

[DOI]

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Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Modality-Balanced Models for Visual Dialogue.

[DOI]

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Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Improving Visual Question Answering by Referring to Generated Paragraph Captions.

[DOI]

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Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Towards Fully Mobile 3D Face, Body, and Environment Capture Using Only Head-worn Cameras.

[DOI]

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Nicholas Rewkowski

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Jan-Michael Frahm

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IEEE Trans. Vis. Comput. Graph., 2018

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