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Bosung Kim

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Hi!πŸ‘‹

I’m a PhD student in Computer Science and Engineering at UC San DiegoπŸŒ΄β˜€οΈπŸ„πŸ»β€β™€οΈπŸŒŠ, advised by Prithviraj in the PEARLS LabπŸ§‹.

My research centers on building AI agentsπŸ€– that can understand and act over long-context inputs, with a focus on multimodal and embodied settings. I’m particularly interested in how agents can perform complex and long-horizon tasks that require interacting with environments over extended periods in ways that, while natural for humans, remain challenging for machines.

I began my research journey in natural language processing and generative AI, especially in leveraging LLMs for knowledge extraction. I’m currently interning at NVIDIA Research . Previously, I’ve interned at Microsoft Research , AWS AI Lab , and Megagon Labs.

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News

Publications

How to Instruct Your Robot: Dense Language Annotations Power Robot Policy Learning πŸ“„ πŸ”—
Bosung Kim*, Ruiyi Wang*, David Acuna, Jaehun Jung, Alexander Trevithick, Brandon Cui, Yejin Choi, Prithviraj Ammanabrolu
arXiv preprint, 2026 Β· * equal contribution

DECADE: Evaluating Evolving Long-Term Memory in Personalized Conversational AI Assistants
Bosung Kim, Hao Cheng, Yuan Gao, Prithviraj Ammanabrolu, Michel Galley, Rachel Rong, Jianfeng Gao
Under review, 2026

Beyond Needle(s) in the Embodied Haystack: Environment, Architecture, and Training Considerations for Long Context Reasoning πŸ“„ πŸ”—
Bosung Kim, Prithviraj Ammanabrolu
arXiv preprint, 2025

SYMPTOMIFY: Transforming Symptom Annotations with Language Model Knowledge Harvesting πŸ“„
Bosung Kim, Ndapa Nakashole
EMNLP Findings, 2023

Zero-shot Triplet Extraction by Template Infilling πŸ“„ πŸ”—
Bosung Kim, Hayate Iso, Nikita Bhutani, Estevam Hruschka, Ndapa Nakashole, Tom Mitchell
IJCNLP-AACL, 2023

Chride at SemEval-2023 Task 10: Fine-tuned DebertaV3 on Detection of Online Sexism with Hierarchical Loss πŸ“„
Letian Peng, Bosung Kim
ACL SemEval Workshop, 2023

Data Augmentation for Rare Symptoms in Vaccine Side-Effect Detection πŸ“„
Bosung Kim, Ndapa Nakashole
ACL BioNLP Workshop, 2022

Query Reformulation for Descriptive Queries of Jargon Words Using a Knowledge Graph based on a Dictionary πŸ“„
Bosung Kim, Hyewon Choi, Haeun Yu, Youngjoong Ko
CIKM, 2021

Commonsense Knowledge Augmentation for Low-Resource Languages via Adversarial Learning πŸ“„
Bosung Kim*, Juae Kim*, Youngjoong Ko, Jungyun Seo
AAAI, 2021 Β· * equal contribution

Multi-task learning for Knowledge Graph Completion using Pre-trained Language πŸ“„
Bosung Kim, Taesuk Hong, Youngjoong Ko, Jungyun Seo
COLING, 2020

Journal Articles

Novel Regularization Method for the Class Imbalance Problem πŸ“„
Bosung Kim, Youngjoong Ko, Jungyun Seo
Expert Systems with Applications, 2022