Mengyu Ye

Ph.D. student @ Tohoku University Fundamental AI lab.

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ye.mengyu.s1 [at] dc.tohoku.ac.jp

I am currently a 1st year Ph.D. student in NLP at Fundamental AI lab (member of Tohoku NLP Group), Tohoku University, advised by Prof. Jun Suzuki.

My research interests lie in Natural Language Processing and Machine Learning. My work is driven by the goal of creating neural models that are fully controllable like mechanistic systems, through a thorough understanding of the algorithms they have learned. I am also interested in exploring ways to evaluate language models.

My former work focused on evaluating LLMs’ reasoning ability, conducting experiments across dozens of LLMs on multiple tasks. I am currently focusing on analyzing LLMs using Sparse autoencoders.

news

Dec 20, 2024 The paper on evaluating input attribution methods under ICL setting is now on arXiv.
Nov 11, 2024 Our proposal for Gemma 2 Academic Research Program (JP/KR 2024) has been accepted with $10k GCP credits.
Oct 04, 2024 Personal homepage updated! :sunny:
Aug 07, 2024 I received a fellowship from BOOST, a Japanese national strategic program supporting excellent PhD students.
Feb 20, 2024 I gave a talk at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE.

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