LaMI Lab - Publications

Publications

International Conferences

[C14] Exploring the Potential of LLMs as Personalized Assistants: Dataset, Evaluation, and Analysis

[C13] RePIC: Reinforced Post-Training for Personalizing Multi-Modal Language Models

Yeongtak Oh, Jisoo Mok, Dohyun Chung, Juhyeon Shin, Sangha Park, Johan Barthelemy, Sungroh Yoon [Supported by NVIDIA Academic Grant]
NeurIPS 2025

[C12] Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection

[C11] Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation

[C10] LLM-based Frameworks for API Argument Filling in Task-Oriented Conversational Systems

Jisoo Mok, Mohammad Kachuee, Shuyang Dai, Shayan Ray, Tara Taghavi, Sungroh Yoon [Collaboration with Amazon]
NAACL 2024 - Industry Track

[C9] Textual Training for the Hassle-Free Removal of Unwanted Visual Data

[C8] Large-scale Lifelong Learning of In-context Instructions and How to Tackle It

Jisoo Mok, Jaeyoung Do, Sungjin Lee, Tara Taghavi, Seunghak Yu, Sungroh Yoon [Collaboration with Amazon]
ACL 2023

[C7] On the Powerfulness of Textual Outliers for Visual OoD Detection

[C6] Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training?

Jisoo Mok, Byunggook Na, Jihoon Kim, Dongyoon Han, Sungroh Yoon [Collaboration with NAVER AI Lab]
CVPR 2022

[C5] AutoSNN: Towards Energy-Efficient Spiking Neural Networks

Byunggook Na, Jisoo Mok, Seongsik Park, Dongjin Lee, Hyeokjun Choe, Sungroh Yoon
ICML 2022

[C4] AdvRush: Searching for Adversarially Robust Neural Architectures

[C3] Variance-stationary Differentiable NAS

[C2] Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation

[C1] Accelerating Neural Architecture Search via Proxy Data

[J1] Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization

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