Seonglae Cho

According to our database, Seonglae Cho authored at least 10 papers between 2023 and 2026.

Collaborative distances:

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

2026

Tool Calling is Linearly Readable and Steerable in Language Models.

Zekun Wu, Ze Wang, Seonglae Cho, Yufei Yang, Adriano S. Koshiyama, Sahan Bulathwela, María Pérez-Ortiz

CoRR, May, 2026

Control Reinforcement Learning: Interpretable Token-Level Steering of LLMs via Sparse Autoencoder Features.

Seonglae Cho, Zekun Wu, Adriano S. Koshiyama

CoRR, February, 2026

The Confidence Manifold: Geometric Structure of Correctness Representations in Language Models.

Seonglae Cho, Zekun Wu, Kleyton da Costa, Adriano S. Koshiyama

CoRR, February, 2026

AgentGraph: Trace-to-Graph Platform for Interactive Analysis and Robustness Testing in Agentic AI Systems.

Zekun Wu, Seonglae Cho, Cristian E. Muñoz Villalobos, Theo King, Umar Mohammed, Emre Kazim, María Pérez-Ortiz, Sahan Bulathwela, Adriano S. Koshiyama

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

CorrSteer: Steering Improves Task Performance and Safety in LLMs through Correlation-based Sparse Autoencoder Feature Selection.

Seonglae Cho, Zekun Wu, Adriano S. Koshiyama

CoRR, August, 2025

FaithfulSAE: Towards Capturing Faithful Features with Sparse Autoencoders without External Dataset Dependencies.

Seonglae Cho, Harryn Oh, Donghyun Lee, Luis Eduardo Rodrigues Vieira, Andrew Bermingham, Ziad El Sayed

CoRR, June, 2025

FaithfulSAE: Towards Capturing Faithful Features with Sparse Autoencoders without External Datasets Dependency.

Seonglae Cho, Harryn Oh, Donghyun Lee, Luis Eduardo Rodrigues Vieira, Andrew Bermingham, Ziad El Sayed

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), 2025

LibVulnWatch: A Deep Assessment Agent System and Leaderboard for Uncovering Hidden Vulnerabilities in Open-Source AI Libraries.

Zekun Wu, Seonglae Cho, Umar Mohammed, Cristian E. Muñoz Villalobos, Kleyton da Costa, Xin Guan, Theo King, Ze Wang, Emre Kazim, Adriano S. Koshiyama

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), 2025

2024

RTSUM: Relation Triple-based Interpretable Summarization with Multi-level Salience Visualization.

Seonglae Cho, Myungha Jang, Jinyoung Yeo, Dongha Lee

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations, 2024

2023

RTSUM: Relation Triple-based Interpretable Summarization with Multi-level Salience Visualization.

Seonglae Cho, Yonggi Cho, HoonJae Lee, Myungha Jang, Jinyoung Yeo, Dongha Lee

CoRR, 2023