Yuan-Sen Ting

Orcid: 0000-0001-5082-9536

According to our database1, Yuan-Sen Ting authored at least 17 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
CLAP. I. Resolving miscalibration for deep learning-based galaxy photometric redshift estimation.
CoRR, 2024

AstroMLab 2: AstroLLaMA-2-70B Model and Benchmarking Specialised LLMs for Astronomy.
CoRR, 2024

pathfinder: A Semantic Framework for Literature Review and Knowledge Discovery in Astronomy.
CoRR, 2024

AstroMLab 1: Who Wins Astronomy Jeopardy!?
CoRR, 2024

Knowledge Graph in Astronomical Research with Large Language Models: Quantifying Driving Forces in Interdisciplinary Scientific Discovery.
CoRR, 2024

The Scaling Law in Stellar Light Curves.
CoRR, 2024

AstroLLaMA-Chat: Scaling AstroLLaMA with Conversational and Diverse Datasets.
CoRR, 2024

2023
Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers.
CoRR, 2023

Astroconformer: The Prospects of Analyzing Stellar Light Curves with Transformer-Based Deep Learning Models.
CoRR, 2023

AstroLLaMA: Towards Specialized Foundation Models in Astronomy.
CoRR, 2023

Adversarial Fine-Tuning of Language Models: An Iterative Optimisation Approach for the Generation and Detection of Problematic Content.
CoRR, 2023

Steering Language Generation: Harnessing Contrastive Expert Guidance and Negative Prompting for Coherent and Diverse Synthetic Data Generation.
CoRR, 2023

Harnessing the Power of Adversarial Prompting and Large Language Models for Robust Hypothesis Generation in Astronomy.
CoRR, 2023

Galactic ChitChat: Using Large Language Models to Converse with Astronomy Literature.
CoRR, 2023

2022
Astroconformer: Inferring Surface Gravity of Stars from Stellar Light Curves with Transformer.
CoRR, 2022

2021
Dataset used in "Uncertainty-Aware Learning for Improvements in Image Quality of the Canada-France-Hawaii Telescope" (https://arxiv.org/abs/2107.00048).
Dataset, August, 2021

Uncertainty-Aware Learning for Improvements in Image Quality of the Canada-France-Hawaii Telescope.
CoRR, 2021


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