Yuu Jinnai

Most-cited papers

AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search
Linnan Wang, Yiyang Zhao, Yuu Jinnai, Yuandong Tian +1 more
2019arXiv.org100 citations
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Policy and Value Transfer in Lifelong Reinforcement Learning
David Abel, Yuu Jinnai, Yue (Sophie) Guo, G. Konidaris +1 more
2018International Conference on Machine Learning88 citations
Semantic Scholar
Exploration in Reinforcement Learning with Deep Covering Options
Yuu Jinnai, Jee Won Park, Marlos C. Machado, G. Konidaris
2020International Conference on Learning Representations66 citations
Semantic Scholar
State Abstraction as Compression in Apprenticeship Learning
David Abel, Dilip Arumugam, Kavosh Asadi, Yuu Jinnai +2 more
2019AAAI Conference on Artificial Intelligence66 citations Open access
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Discovering Options for Exploration by Minimizing Cover Time
Yuu Jinnai, Jee Won Park, David Abel, G. Konidaris
2019International Conference on Machine Learning65 citations
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Neural Architecture Search Using Deep Neural Networks and Monte Carlo Tree Search
Linnan Wang, Yiyang Zhao, Yuu Jinnai, Yuandong Tian +1 more
2018AAAI Conference on Artificial Intelligence57 citations Open access
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Finding Options that Minimize Planning Time
Yuu Jinnai, David Abel, D. Hershkowitz, Michael L. Littman +1 more
2018International Conference on Machine Learning48 citations
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Evaluation of Best-of-N Sampling Strategies for Language Model Alignment
Yuki Ichihara, Yuu Jinnai, Tetsuro Morimura, Kenshi Abe +3 more
2025Trans. Mach. Learn. Res.44 citations
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Lipschitz Lifelong Reinforcement Learning
Erwan Lecarpentier, David Abel, Kavosh Asadi, Yuu Jinnai +2 more
2020AAAI Conference on Artificial Intelligence43 citations Open access
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Regularized Best-of-N Sampling to Mitigate Reward Hacking for Language Model Alignment
Yuu Jinnai, Tetsuro Morimura, Kaito Ariu, Kenshi Abe
2024arXiv.org34 citations
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Filtered Direct Preference Optimization
Tetsuro Morimura, Mitsuki Sakamoto, Yuu Jinnai, Kenshi Abe +1 more
2024Conference on Empirical Methods in Natural Language Processing31 citations
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Regularized Best-of-N Sampling with Minimum Bayes Risk Objective for Language Model Alignment
Yuu Jinnai, Tetsuro Morimura, Kaito Ariu, Kenshi Abe
2024North American Chapter of the Association for Computational Linguistics31 citations Open access
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MO-GRPO: Mitigating Reward Hacking of Group Relative Policy Optimization on Multi-Objective Problems
Yuki Ichihara, Yuu Jinnai, Tetsuro Morimura, Mitsuki Sakamoto +2 more
2025Transactions of the Association for Computational Linguistics24 citations
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Learning to Prune Dominated Action Sequences in Online Black-Box Planning
Yuu Jinnai, A. Fukunaga
2016AAAI Conference on Artificial Intelligence18 citations Open access
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Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding
Yuu Jinnai, Kaito Ariu
2024Annual Meeting of the Association for Computational Linguistics16 citations
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Abstract Zobrist Hashing: An Efficient Work Distribution Method for Parallel Best-First Search
Yuu Jinnai, A. Fukunaga
2016AAAI Conference on Artificial Intelligence16 citations Open access
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Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding
Yuu Jinnai, Ukyo Honda, Tetsuro Morimura, Peinan Zhang
2024Annual Meeting of the Association for Computational Linguistics15 citations
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Model-Based Minimum Bayes Risk Decoding for Text Generation
Yuu Jinnai, Tetsuro Morimura, Ukyo Honda, Kaito Ariu +1 more
2023International Conference on Machine Learning15 citations
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Does Cross-Cultural Alignment Change the Commonsense Morality of Language Models?
Yuu Jinnai
2024C3NLP14 citations
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A Survey of Parallel A
A. Fukunaga, A. Botea, Yuu Jinnai, Akihiro Kishimoto
2017arXiv.org10 citations
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Parallel A* for State-Space Search
A. Fukunaga, A. Botea, Yuu Jinnai, Akihiro Kishimoto
2018Handbook of Parallel Constraint Reasoning7 citations
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On Hash-Based Work Distribution Methods for Parallel Best-First Search
Yuu Jinnai, A. Fukunaga
2017Journal of Artificial Intelligence Research7 citations Open access
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On the True Distribution Approximation of Minimum Bayes-Risk Decoding
Atsumoto Ohashi, Ukyo Honda, Tetsuro Morimura, Yuu Jinnai
2024North American Chapter of the Association for Computational Linguistics6 citations
Semantic Scholar
Automated Creation of Efficient Work Distribution Functions for Parallel Best-First Search
Yuu Jinnai, A. Fukunaga
2016International Conference on Automated Planning and Scheduling6 citations Open access
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Theoretical Guarantees for Minimum Bayes Risk Decoding
Yuki Ichihara, Yuu Jinnai, Kaito Ariu, Tetsuro Morimura +1 more
2025Annual Meeting of the Association for Computational Linguistics5 citations
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Do Large Language Models Know Folktales? A Case Study of Yokai in Japanese Folktales
Ayuto Tsutsumi, Yuu Jinnai
2025Annual Meeting of the Association for Computational Linguistics4 citations
Semantic Scholar
Auto-Weighted Group Relative Preference Optimization for Multi-Objective Text Generation Tasks
Yuki Ichihara, Yuu Jinnai
2025Conference on Empirical Methods in Natural Language Processing4 citations Open access
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Annotation-Efficient Language Model Alignment via Diverse and Representative Response Texts
Yuu Jinnai, Ukyo Honda
2024Conference on Empirical Methods in Natural Language Processing3 citations Open access
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Knossos: Compiling AI with AI
Yuu Jinnai, Arash Mehrjou, K. Ciosek, Anna Mitenkova +5 more
20193 citations
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Re-evaluating Minimum Bayes Risk Decoding for Automatic Speech Recognition
Yuu Jinnai
2025arXiv.org2 citations
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Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport
Yuu Jinnai
2025Annual Meeting of the Association for Computational Linguistics2 citations
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On the Depth between Beam Search and Exhaustive Search for Text Generation
Yuu Jinnai, Tetsuro Morimura, Ukyo Honda
2023arXiv.org2 citations Open access
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SKILL DISCOVERY WITH WELL-DEFINED OBJECTIVES
Yuu Jinnai, David Abel, Jee Won Park, Michael L. Littman +1 more
20192 citations
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Consensus Group Relative Policy Optimization for Text Generation
Yuki Ichihara, Yuu Jinnai, Kaito Ariu, Eiji Uchibe
2026arXiv.org1 citations
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Cost of Reasoning in non-English Languages: A Case Study on Japanese
Yuu Jinnai
2026arXiv.org1 citations
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Re-evaluating Minimum Bayes Risk Decoding for Automated Speech Recognition Tasks
Yuu Jinnai
2026Trans. Mach. Learn. Res.0 citations
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JOR-Bench: Japanese Operations Research Benchmarks for Large Language Models
Yuu Jinnai
2026arXiv.org0 citations
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Orienteering Problem with Uncertain Time-Varying Rewards: Framework and Benchmark for Everyday Service Robotics
Masafumi Endo, Kohei Honda, Yuu Jinnai, Ryo Yonetani
20260 citations
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CAT-Translate: Building Compact Open-Source Models for Japanese-English Translation
Yuu Jinnai
2026arXiv.org0 citations
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TalkMatrix: Generating Character Dialogue that is Both Consistent and Diverse
Ayuto Tsutsumi, Yuu Jinnai
20260 citations
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Finding Optimal Strategies over Families of Tasks in Reinforcement Learning
Yue (Sophie) Guo, G. Konidaris, Michael L. Littman, Yuu Jinnai
20180 citations
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Learning to Avoid Dominated Action Sequences in Planning for Black-Box Domains
Yuu Jinnai, A. Fukunaga
2017AAAI Conference on Artificial Intelligence0 citations Open access
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A Graph-Partitioning Based Approach for Parallel Best-First Search
Yuu Jinnai, A. Fukunaga
20170 citations
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On Generating Consistent and Attractive Promotional Introduction Text for Narrative Media Arts
Zhidong Ling, Yuu Jinnai
0 citations
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