Working Papers

New Model, Old Habits: Behavior Transfer under Model Swapping in Multi-Session LLM Agents

Youngbin Choi*, Sehyun Hwang*, Suhyeon Jun, Seoyeon Lee, Sunghyun Choi, MoonJeong Park, Dongwoo Kim (* equal contribution)

Under review 2026

[Arxiv]

New Model, Old Habits: Behavior Transfer under Model Swapping in Multi-Session LLM Agents

Youngbin Choi*, Sehyun Hwang*, Suhyeon Jun, Seoyeon Lee, Sunghyun Choi, MoonJeong Park, Dongwoo Kim (* equal contribution)

Under review 2026

[Arxiv]

Groups Don't Move as One: A Bregman Clustering View of Linearized Group Influence

Hyunho Choi, Jaeseung Heo, Youngbin Choi, MoonJeong Park, Dongwoo Kim

NeurIPS Workshop ATTRIB 2026

[Arxiv]

Groups Don't Move as One: A Bregman Clustering View of Linearized Group Influence

Hyunho Choi, Jaeseung Heo, Youngbin Choi, MoonJeong Park, Dongwoo Kim

NeurIPS Workshop ATTRIB 2026

[Arxiv]

Interaction-Aware Influence Functions for Group Attribution

Jaeseung Heo, Kyeongheung Yun, Youngbin Choi, Sehyun Hwang, Jungseul Ok, Dongwoo Kim

ICML Workshop MechInterp 2026

[Arxiv]

Interaction-Aware Influence Functions for Group Attribution

Jaeseung Heo, Kyeongheung Yun, Youngbin Choi, Sehyun Hwang, Jungseul Ok, Dongwoo Kim

ICML Workshop MechInterp 2026

[Arxiv]

2026

Long Live the Librarian! A Persistent Search Sub-Agent for Energy-Efficient Multi-Agent Software Engineering Systems

Seunghyuk Cho, Sunghyun Choi, Jaeseung Heo, Youngbin Choi, Saemi Moon, MoonJeong Park, Dongwoo Kim

EMNLP 2026 (Oral)

[Arxiv]

Long Live the Librarian! A Persistent Search Sub-Agent for Energy-Efficient Multi-Agent Software Engineering Systems

Seunghyuk Cho, Sunghyun Choi, Jaeseung Heo, Youngbin Choi, Saemi Moon, MoonJeong Park, Dongwoo Kim

EMNLP 2026 (Oral)

[Arxiv]

In-Place Feedback: Reliable Refinement for Multi-Turn Expert-LLM Collaboration

Youngbin Choi*, Minjong Lee*, Saemi Moon, Seunghyuk Cho, Chaehyun Chung, MoonJeong Park, Dongwoo Kim (* equal contribution)

EMNLP 2026 (🏆 Outstanding Paper Award, Oral)

[Arxiv]

In-Place Feedback: Reliable Refinement for Multi-Turn Expert-LLM Collaboration

Youngbin Choi*, Minjong Lee*, Saemi Moon, Seunghyuk Cho, Chaehyun Chung, MoonJeong Park, Dongwoo Kim (* equal contribution)

EMNLP 2026 (🏆 Outstanding Paper Award, Oral)

[Arxiv]

The Interplay of Harness Design and Post-Training in LLM Agents

Kyungmin Kim*, Youngbin Choi*, Seoyeon Lee, Suhyeon Jun, Dongwoo Kim†, Sangdon Park† (* equal contribution, † co-advising)

EMNLP-Findings 2026

[Arxiv]

The Interplay of Harness Design and Post-Training in LLM Agents

Kyungmin Kim*, Youngbin Choi*, Seoyeon Lee, Suhyeon Jun, Dongwoo Kim†, Sangdon Park† (* equal contribution, † co-advising)

EMNLP-Findings 2026

[Arxiv]

Routing by Reaching: Composition of Pre-trained GFlowNets for Multi-Objective Generation

Seokwon Yoon, Youngbin Choi, Seunghyuk Cho, Seungbeom Lee, MoonJeong Park, Dongwoo Kim

ICML 2026

[Arxiv]

Routing by Reaching: Composition of Pre-trained GFlowNets for Multi-Objective Generation

Seokwon Yoon, Youngbin Choi, Seunghyuk Cho, Seungbeom Lee, MoonJeong Park, Dongwoo Kim

ICML 2026

[Arxiv]

Plane Geometry Problem Solving with Multi-modal Reasoning: A Survey

Seunghyuk Cho, Zhenyue Qin, Yang Liu, Youngbin Choi, Seungbeom Lee, Dongwoo Kim

EACL-Findings 2026

[Arxiv]

Plane Geometry Problem Solving with Multi-modal Reasoning: A Survey

Seunghyuk Cho, Zhenyue Qin, Yang Liu, Youngbin Choi, Seungbeom Lee, Dongwoo Kim

EACL-Findings 2026

[Arxiv]

2025

GeoDANO: Geometric VLM with Domain Agnostic Vision Encoder

Seunghyuk Cho, Zhenyue Qin, Yang Liu, Youngbin Choi, Seungbeom Lee, Dongwoo Kim

EMNLP-Findings 2025

[Arxiv] [Github]

GeoDANO: Geometric VLM with Domain Agnostic Vision Encoder

Seunghyuk Cho, Zhenyue Qin, Yang Liu, Youngbin Choi, Seungbeom Lee, Dongwoo Kim

EMNLP-Findings 2025

[Arxiv] [Github]

CoPL: Collaborative Preference Learning for Personalizing LLMs

Youngbin Choi, Seunghyuk Cho, Minjong Lee, MoonJeong Park, Yesong Ko, Jungseul Ok, Dongwoo Kim

EMNLP 2025

[Arxiv] [Github]

CoPL: Collaborative Preference Learning for Personalizing LLMs

Youngbin Choi, Seunghyuk Cho, Minjong Lee, MoonJeong Park, Yesong Ko, Jungseul Ok, Dongwoo Kim

EMNLP 2025

[Arxiv] [Github]

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

Kyungmin Kim, Youngbin Choi, Hyounghun Kim, Dongwoo Kim, Sandon Park

EMNLP-Findings 2025

[ACLanthology] [Github]

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

Kyungmin Kim, Youngbin Choi, Hyounghun Kim, Dongwoo Kim, Sandon Park

EMNLP-Findings 2025

[ACLanthology] [Github]

2022

SpReME: Sparse Regression for Multi-Environment Dynamic Systems

MoonJeong Park*, Youngbin Choi*, Namhoon Lee, Dongwoo Kim (* equal contribution)

AAAI Workshop MLmDS 2022

[Arxiv] [Github]

SpReME: Sparse Regression for Multi-Environment Dynamic Systems

MoonJeong Park*, Youngbin Choi*, Namhoon Lee, Dongwoo Kim (* equal contribution)

AAAI Workshop MLmDS 2022

[Arxiv] [Github]