Hyunji Nam

According to our database, Hyunji Nam authored at least 9 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Mitigating LLM biases toward spurious social contexts using direct preference optimization.

Hyunji Nam, Dorottya Demszky

CoRR, April, 2026

Maximizing mutual information between user-contexts and responses improve LLM personalization with no additional data.

Hyunji Nam, Haoran Li, Natasha Jaques

CoRR, March, 2026

Netflix Artwork Personalization via LLM Post-training.

Hyunji Nam, Sejoon Oh, Emma Kong, Yesu Feng, Moumita Bhattacharya

CoRR, January, 2026

IDEAlign: Comparing Ideas of Large Language Models to Domain Experts.

Hyunji Nam, Lucía Langlois, James Malamut, Mei Tan, Dorottya Demszky

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

IDEAlign: Comparing Large Language Models to Human Experts in Open-ended Interpretive Annotations.

Hyunji Nam, Lucía Langlois, James Malamut, Mei Tan, Dorottya Demszky

CoRR, September, 2025

Efficient RL for optimizing conversation level outcomes with an LLM-based tutor.

Hyunji Nam, Omer Gottesman, Amy Zhang, Dean P. Foster, Emma Brunskill, Lyle H. Ungar

CoRR, July, 2025

Learning Pluralistic User Preferences through Reinforcement Learning Fine-tuned Summaries.

Hyunji Nam, Yanming Wan, Mickel Liu, Jianxun Lian, Natasha Jaques

CoRR, July, 2025

EduCoder: An Open-Source Annotation System for Education Transcript Data.

Guanzhong Pan, Mei Tan, Hyunji Nam, Lucía Langlois, James Malamut, Liliana Deonizio, Dorottya Demszky

CoRR, July, 2025

2024

Predicting Long Term Sequential Policy Value Using Softer Surrogates.

Hyunji Nam, Allen Nie, Ge Gao, Vasilis Syrgkanis, Emma Brunskill

CoRR, 2024