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Aquatic 的部落格
 * 首頁
 * 關於
 * 技能
 * 學歷
 * Publications
   
 * 文章
 * 筆記
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AQUATIC 的小角落

無論在什麼地方，什麼時候，我們終|
 * 無論在什麼地方，什麼時候，我們終將會相遇相知，在那遙遠的蒼穹🌌
 * 我是あくあクルー⚓
 * 我喜歡打osu、看動漫
 * 我平常會重訓、舉鐵
 * 歡迎來到我的個人部落格


AQUATIC

CODING ENTHUSIAST AT NTHU IPTH

我是一個對資訊有熱忱的健身仔，目前就讀靜心高中三年級，透過特殊選才錄取清大不分系，預計就讀資工系。I am a fitness enthusiast with
a passion for IT, currently studying at Chingshin High School. I have been
admitted to Tsinghua University’s Interdisciplinary Program and plan to pursue
Computer Science.

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耍廢程度
認真程度


技能

DATA ANALYSIS

Experienced in processing and analyzing vast datasets using Python. Well-versed
in utilizing tools such as Jupyter Notebook, alongside libraries like Pandas,
Matplotlib, and NumPy.

LINUX

Using Linux as my main operating system for development. Familiar with the
system architecture and capable of writing shell scripts.

SELF-HOSTING

Self-hosts multiple services on a VPS. Familiar with managing multiple docker
instances and exposing web services securely.

VIM

Using Vim as my main text editor. Have cultivated coding proficiency in
navigation, command use and plugin integration to further optimize my workflow.


學歷

CHINGSHIN ACADEMY 靜心高中

2021-2024

GRADUATED HIGH SCHOOL AT 18





NTHU IPTH 清大不分系 28級

2024-

CURRENTLY STUDYING AT TSINGHUA UNIVERSITY


PUBLICATIONS

All NLP

LARGE LANGUAGE MODELS ON THE CHESSBOARD - A STUDY ON CHATGPT'S FORMAL LANGUAGE
COMPREHENSION AND COMPLEX REASONING SKILLS

Symposium on Large Language Models (LLM 2023) @ IJCAI 2023 21 Aug 2023
Mu-Tien Kuo Chih-Chung Hsueh Richard Tzong-Han Tsai

While large language models have made strides in natural language processing,
their proficiency in complex reasoning tasks requiring formal language
comprehension, such as chess, remains less investigated. This paper probes the
performance of ChatGPT, a sophisticated language model by OpenAI in tackling
such complex reasoning tasks, using chess as a case study. Through robust
metrics examining both the legality and quality of moves, we assess ChatGPT’s
understanding of the chessboard, adherence to chess rules, and strategic
decision-making abilities. Our evaluation identifies limitations within
ChatGPT’s attention mechanism that affect its formal language comprehension and
uncovers the model’s underdeveloped self-regulation abilities.

NLP Complex Reasoning Large Language Models
詳情

AUTOMATED ASSESSMENT OF FIDELITY AND INTERPRETABILITY - AN EVALUATION FRAMEWORK
FOR LARGE LANGUAGE MODELS’ EXPLANATIONS

Proceedings of the AAAI Conference on Artificial Intelligence 24 March 2024
Mu-Tien Kuo Chih-Chung Hsueh Richard Tzong-Han Tsai

As Large Language Models (LLMs) become more prevalent in various fields, it is
crucial to rigorously assess the quality of their explanations. Our research
introduces a task-agnostic framework for evaluating free-text rationales,
drawing on insights from both linguistics and machine learning. We evaluate two
dimensions of explainability - fidelity and interpretability. For fidelity, we
propose methods suitable for proprietary LLMs where direct introspection of
internal features is unattainable. For interpretability, we use language models
instead of human evaluators, addressing concerns about subjectivity and
scalability in evaluations.

NLP Large Language Models Explainability Fidelity Faithfulness Interpretability
詳情

導覽列

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 * 技能
 * 學歷
 * Publications

聯絡方式:

 * aquatic0
 * hsuehchihchung@gmail.com
 * AquaticBUBU

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