Minki Hong

Minki Hong

My research interests include generative AI, with a particular focus on social norms, bias mitigation, fairness, and inclusivity.

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CMU

Conference

EACL 2026 (Findings) paper accepted! 🎉

1 minute read

Published:

Excited to share that our paper, “VisDoT: Enhancing Visual Reasoning through Human-Like Interpretation Grounding and Decomposition of Thought,” has been accepted to EACL 2026 (Findings)! 🎉

IASEAI 2026 paper accepted! 🎉

1 minute read

Published:

Excited to share that our paper, “Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models,” has been accepted to IASEAI 2026! 🎉

🎉 SAC Highlights at EMNLP 2025 🎉

1 minute read

Published:

I’m honored to share that I presented my first paper at EMNLP2025, the very conference where I first read the paper that sparked my journey into AI research: “SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization.” Starting from the concepts introduced in SODA, I eventually delved into the research area of social norm dialogue, which became the foundation of my current work. It was truly meaningful to come full circle and present at the same conference that first inspired me.

EMNLP 2025 paper accepted! 🎉

less than 1 minute read

Published:

Excited to share that our paper, “NormGenesis: Multicultural Dialogue Generation via Exemplar-Guided Social Norm Modeling and Violation Recovery,” has been accepted to the Main Conference of EMNLP 2025! 🎉 This work addresses a key limitation of large language models (LLMs): their inability to adequately reflect social norms and generate high-quality dialogues in low-resource languages.

EACL 2026

EACL 2026 (Findings) paper accepted! 🎉

1 minute read

Published:

Excited to share that our paper, “VisDoT: Enhancing Visual Reasoning through Human-Like Interpretation Grounding and Decomposition of Thought,” has been accepted to EACL 2026 (Findings)! 🎉

EMNLP 2025

🎉 SAC Highlights at EMNLP 2025 🎉

1 minute read

Published:

I’m honored to share that I presented my first paper at EMNLP2025, the very conference where I first read the paper that sparked my journey into AI research: “SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization.” Starting from the concepts introduced in SODA, I eventually delved into the research area of social norm dialogue, which became the foundation of my current work. It was truly meaningful to come full circle and present at the same conference that first inspired me.

EMNLP 2025 paper accepted! 🎉

less than 1 minute read

Published:

Excited to share that our paper, “NormGenesis: Multicultural Dialogue Generation via Exemplar-Guided Social Norm Modeling and Violation Recovery,” has been accepted to the Main Conference of EMNLP 2025! 🎉 This work addresses a key limitation of large language models (LLMs): their inability to adequately reflect social norms and generate high-quality dialogues in low-resource languages.

Education

Findings

EACL 2026 (Findings) paper accepted! 🎉

1 minute read

Published:

Excited to share that our paper, “VisDoT: Enhancing Visual Reasoning through Human-Like Interpretation Grounding and Decomposition of Thought,” has been accepted to EACL 2026 (Findings)! 🎉

IASEAI 2026

IASEAI 2026 paper accepted! 🎉

1 minute read

Published:

Excited to share that our paper, “Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models,” has been accepted to IASEAI 2026! 🎉

Robotics