Ji-Hoon Hwang

A study of calibration as a measurement of trustworthiness of large language models in biomedical natural language processing

Rodrigo de Oliveira, Matthew Garber, James M. Gwinnutt, Emaan Rashidi et autres

Objectives: To assess the calibration of 9 large language models (LLMs) within biomedical natural language processing (BioNLP) tasks, furthering understanding of trustworthiness and reliability in real-world settings. Materials and Methods: For each LLM, we collected responses and corresponding confidence scores for all …

gb, us (code pays fourni par la source)

How to Relieve Distribution Shifts in Semantic Segmentation for Off-Road Environments

Ji-Hoon Hwang, Daeyoung Kim, Hyung-Suk Yoon, Dong-Wook Kim et autres

Semantic segmentation is crucial for autonomous navigation in off-road environments, enabling precise classification of surroundings to identify traversable regions. However, distinctive factors inherent to off-road conditions, such as source-target domain discrepancies and sensor corruption from rough terrain, can result in distribution shifts …

kr (code pays fourni par la source)

A Study of Calibration as a Measurement of Trustworthiness of Large Language Models in Biomedical Research

Rodrigo de Oliveira, Matthew Garber, James M. Gwinnutt, Emaan Rashidi et autres

ABSTRACT Objectives To assess the calibration of 9 large language models (LLMs) within biomedical natural language processing (BioNLP) tasks, furthering understanding of trustworthiness and reliability in real-world settings. Materials and Methods For each LLM, we collected responses and corresponding confidence scores for …

gb, us (code pays fourni par la source)

PTS-Map: Probabilistic Terrain State Map for Uncertainty-Aware Traversability Mapping in Unstructured Environments

Dong-Wook Kim, E In Son, Chan Kim, Ji-Hoon Hwang et autres

Traversability mapping for autonomous navigation in unstructured environments has been widely investigated for decades. However, it remains challenging due to the uncertainty in geometry perception and the simplified representation of traversability maps that fail to capture detailed structures of environments. We propose …

kr (code pays fourni par la source)

Adaptive Robot Traversability Estimation Based on Self-Supervised Online Continual Learning in Unstructured Environments

Hyung-Suk Yoon, Ji-Hoon Hwang, Chan Kim, E In Son et autres

Traversability estimation is a core function for robot navigation in off-road unstructured environments and diverse research results have been published so far. One of the recent approaches is using the self-supervised learning (SSL) technique. SSL has been focused on as a breakthrough …

kr (code pays fourni par la source)

Applying Machine Learning to Improve Subseasonal to Seasonal (S2S) Forecasts

J. L. Cohen, Lester Mackey, Paulo Orenstein, Ji-Hoon Hwang et autres