Search Results for author: Taewan Kim

Found 6 papers, 4 papers with code

MindfulDiary: Harnessing Large Language Model to Support Psychiatric Patients' Journaling

no code implementations8 Oct 2023 Taewan Kim, Seolyeong Bae, Hyun Ah Kim, Su-woo Lee, Hwajung Hong, Chanmo Yang, Young-Ho Kim

In the mental health domain, Large Language Models (LLMs) offer promising new opportunities, though their inherent complexity and low controllability have raised questions about their suitability in clinical settings.

Language Modelling Large Language Model

On Single Source Robustness in Deep Fusion Models

1 code implementation NeurIPS 2019 Taewan Kim, Joydeep Ghosh

We investigate learning fusion algorithms that are robust against noise added to a single source.

Self-Driving Cars

Relaxed Oracles for Semi-Supervised Clustering

1 code implementation20 Nov 2017 Taewan Kim, Joydeep Ghosh

Pairwise "same-cluster" queries are one of the most widely used forms of supervision in semi-supervised clustering.

Clustering

Semi-Supervised Active Clustering with Weak Oracles

1 code implementation11 Sep 2017 Taewan Kim, Joydeep Ghosh

For each weak oracle model, we show that a small query complexity is adequate for the effective $k$ means clustering with high probability.

Clustering

Visual Fashion-Product Search at SK Planet

no code implementations26 Sep 2016 Taewan Kim, Seyeong Kim, Sangil Na, Hayoon Kim, Moonki Kim, Byoung-Ki Jeon

We build a large-scale visual search system which finds similar product images given a fashion item.

Semantic Similarity Semantic Textual Similarity

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