Yen-Ting Lin

About Me

I completed my Ph.D. at National Taiwan University in January 2025, advised by Professor Yun-Nung (Vivian) Chen in the Miulab.

I have gained practical experience through research internships at Meta GenAI (summer 2024), Nvidia Research (spring 2024), Amazon Alexa AI (summers of 2021, 2022, and 2023), MediaTek Research (summer 2019), and IBM Research (summer 2020).

My research focuses on reasoning and large language models (LLMs). For more details on my qualifications and experience, please refer to my CV.

News

• [Feb. 2025] Released an open-weight reasoning model, Mistral-Small-Reasoning
• [Jan. 2025] My work at Meta GenAI: Step-KTO: Optimizing Mathematical Reasoning through Stepwise Binary Feedback has been published.
• [Jan. 2025] I have successfully completed my Ph.D. at National Taiwan University.
• [Aug. 2024] Yentinglin/llama-3-taiwan-70b-instruct is now live on NVIDIA’s NIM platform and featured in NVIDIA sovereign AI blog post.
• [Jun. 2024] Our paper on TMLU (Traditional Mandarin Language Understanding) has been accepted to COLM 2024.
• [Aug. 2023] We release Taiwan-LLaMa, the first Traditional Chinese Large Language Models.
• [May. 2023] Our paper about LLM for dialogue evaluation is accepted to NLP4ConvAI 2023.
• [Jan. 2023] Our paper about data augmentation for intent detcetion is accepted to EACL 2023.
• [Sept. 2022] Our paper about data augmentation for response generation is accepted to SIGDIAL 2022.
• [May. 2022] Our paper about fusing task-oriented conversations with chit-chat is accepted to ACL 2022.

Publications

Services

Conference Reviewers

• AAAI Conference on Artificial Intelligence (AAAI) 2023
• IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2023

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