Research
研究
研究業績
カテゴリー
研究領域
年
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MMA:Benchmarking Multi-ModalLarge Language Models in Ambiguity Context
Ru Wang*, Selena Song*, Yuquan Wang, Liang Ding, Mingming Gong, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo
The Third Conference on Parsimony and Learning(CPAL 2026)
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Beyond In-Distribution Success: Scaling Curves of CoT Granularity for Language Model Generalization
Ru Wang, Wei Huang, Selena Song, Haoyu Zhang, Qian Niu, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo
The Third Conference on Parsimony and Learning(CPAL 2026)
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Disappearance of Timestep Embedding: A Case Study on Neural ODE and Diffusion Models
Bum Jun Kim, Yoshinobu Kawahara, Sang Woo Kim
Transactions on Machine Learning Research (TMLR)
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Bridging Lottery Ticket and Grokking: Understanding Grokking from Inner Structure of Networks
Gouki Minegishi, Yusuke Iwasawa, Yutaka Matsuo
Transactions on Machine Learning Research (TMLR)
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Towards Empirical Interpretation of Internal Circuits and Properties in Grokked Transformers on Modular Polynomials
Hiroki Furuta, Gouki Minegishi, Yusuke Iwasawa, Yutaka Matsuo
Transactions on Machine Learning Research (TMLR).