Yuu Jinnai

49 papers A* 13Journal 26Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Consensus Group Relative Policy Optimization for Text Generation.
CoRR
Yuki Ichihara, Yuu Jinnai, Kaito Ariu, Eiji Uchibe
2025 — conf
Annotation-Efficient Language Model Alignment via Diverse and Representative Response Texts.
EMNLP (Findings)
Yuu Jinnai, Ukyo Honda
2025 — conf
Auto-Weighted Group Relative Preference Optimization for Multi-Objective Text Generation Tasks.
EMNLP (Industry Track)
Yuki Ichihara, Yuu Jinnai
2025 — conf
Do Large Language Models Know Folktales? A Case Study of Yokai in Japanese Folktales.
ACL (Findings)
Ayuto Tsutsumi, Yuu Jinnai
2025 J jnl
Do Large Language Models Know Folktales? A Case Study of Yokai in Japanese Folktales.
CoRR
Ayuto Tsutsumi, Yuu Jinnai
2025 — conf
Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport.
ACL (1)
Yuu Jinnai
2025 J jnl
Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport.
CoRR
Yuu Jinnai
2025 J jnl
Evaluation of Best-of-N Sampling Strategies for Language Model Alignment.
CoRR
Yuki Ichihara, Yuu Jinnai, Tetsuro Morimura, Kaito Ariu, Kenshi Abe, Mitsuki Sakamoto, Eiji Uchibe
2025 J jnl
Evaluation of Best-of-N Sampling Strategies for Language Model Alignment.
Trans. Mach. Learn. Res.
Yuki Ichihara, Yuu Jinnai, Tetsuro Morimura, Kenshi Abe, Kaito Ariu, Mitsuki Sakamoto, Eiji Uchibe
2025 J jnl
MO-GRPO: Mitigating Reward Hacking of Group Relative Policy Optimization on Multi-Objective Problems.
CoRR
Yuki Ichihara, Yuu Jinnai, Tetsuro Morimura, Mitsuki Sakamoto, Ryota Mitsuhashi, Eiji Uchibe
2025 J jnl
Re-evaluating Minimum Bayes Risk Decoding for Automatic Speech Recognition.
CoRR
Yuu Jinnai
2025 — conf
Regularized Best-of-N Sampling with Minimum Bayes Risk Objective for Language Model Alignment.
NAACL (Long Papers)
Yuu Jinnai, Tetsuro Morimura, Kaito Ariu, Kenshi Abe
2025 — conf
Theoretical Guarantees for Minimum Bayes Risk Decoding.
ACL (1)
Yuki Ichihara, Yuu Jinnai, Kaito Ariu, Tetsuro Morimura, Eiji Uchibe
2025 J jnl
Theoretical Guarantees for Minimum Bayes Risk Decoding.
CoRR
Yuki Ichihara, Yuu Jinnai, Kaito Ariu, Tetsuro Morimura, Eiji Uchibe
2024 J jnl
Annotation-Efficient Preference Optimization for Language Model Alignment.
CoRR
Yuu Jinnai, Ukyo Honda
2024 J jnl
Does Cross-Cultural Alignment Change the Commonsense Morality of Language Models?
CoRR
Yuu Jinnai
2024 A* conf
Filtered Direct Preference Optimization.
EMNLP
Tetsuro Morimura, Mitsuki Sakamoto, Yuu Jinnai, Kenshi Abe, Kaito Ariu
2024 J jnl
Filtered Direct Preference Optimization.
CoRR
Tetsuro Morimura, Mitsuki Sakamoto, Yuu Jinnai, Kenshi Abe, Kaito Ariu
2024 — conf
Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding.
ACL (Findings)
Yuu Jinnai, Ukyo Honda, Tetsuro Morimura, Peinan Zhang
2024 J jnl
Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding.
CoRR
Yuu Jinnai, Ukyo Honda, Tetsuro Morimura, Peinan Zhang
2024 — conf
Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding.
ACL (Findings)
Yuu Jinnai, Kaito Ariu
2024 J jnl
Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding.
CoRR
Yuu Jinnai, Kaito Ariu
2024 A* conf
Model-Based Minimum Bayes Risk Decoding for Text Generation.
ICML
Yuu Jinnai, Tetsuro Morimura, Ukyo Honda, Kaito Ariu, Kenshi Abe
2024 — conf
On the True Distribution Approximation of Minimum Bayes-Risk Decoding.
NAACL (Short Papers)
Atsumoto Ohashi, Ukyo Honda, Tetsuro Morimura, Yuu Jinnai
2024 J jnl
On the True Distribution Approximation of Minimum Bayes-Risk Decoding.
CoRR
Atsumoto Ohashi, Ukyo Honda, Tetsuro Morimura, Yuu Jinnai
2024 J jnl
Regularized Best-of-N Sampling to Mitigate Reward Hacking for Language Model Alignment.
CoRR
Yuu Jinnai, Tetsuro Morimura, Kaito Ariu, Kenshi Abe
2023 J jnl
Blind Signal Separation for Fast Ultrasound Computed Tomography.
CoRR
Takumi Noda, Yuu Jinnai, Naoki Tomii, Takashi Azuma
2023 J jnl
Model-Based Minimum Bayes Risk Decoding.
CoRR
Yuu Jinnai, Tetsuro Morimura, Ukyo Honda, Kaito Ariu, Kenshi Abe
2023 J jnl
On the Depth between Beam Search and Exhaustive Search for Text Generation.
CoRR
Yuu Jinnai, Tetsuro Morimura, Ukyo Honda
2021 A* conf
Lipschitz Lifelong Reinforcement Learning.
AAAI
Erwan Lecarpentier, David Abel, Kavosh Asadi, Yuu Jinnai, Emmanuel Rachelson, Michael L. Littman
2020 A* conf
Exploration in Reinforcement Learning with Deep Covering Options.
ICLR
Yuu Jinnai, Jee Won Park, Marlos C. Machado, George Dimitri Konidaris
2020 J jnl
Lipschitz Lifelong Reinforcement Learning.
CoRR
Erwan Lecarpentier, David Abel, Kavosh Asadi, Yuu Jinnai, Emmanuel Rachelson, Michael L. Littman
2020 A* conf
Neural Architecture Search Using Deep Neural Networks and Monte Carlo Tree Search.
AAAI
Linnan Wang, Yiyang Zhao, Yuu Jinnai, Yuandong Tian, Rodrigo Fonseca
2019 J jnl
AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search.
CoRR
Linnan Wang, Yiyang Zhao, Yuu Jinnai, Yuandong Tian, Rodrigo Fonseca
2019 A* conf
Discovering Options for Exploration by Minimizing Cover Time.
ICML
Yuu Jinnai, Jee Won Park, David Abel, George Dimitri Konidaris
2019 J jnl
Discovering Options for Exploration by Minimizing Cover Time.
CoRR
Yuu Jinnai, Jee Won Park, David Abel, George Dimitri Konidaris
2019 A* conf
Finding Options that Minimize Planning Time.
ICML
Yuu Jinnai, David Abel, David Ellis Hershkowitz, Michael L. Littman, George Dimitri Konidaris
2019 A* conf
State Abstraction as Compression in Apprenticeship Learning.
AAAI
David Abel, Dilip Arumugam, Kavosh Asadi, Yuu Jinnai, Michael L. Littman, Lawson L. S. Wong
2018 J jnl
AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search.
CoRR
Linnan Wang, Yiyang Zhao, Yuu Jinnai
2018 J jnl
Finding Options that Minimize Planning Time.
CoRR
Yuu Jinnai, David Abel, Michael L. Littman, George Dimitri Konidaris
2018 — ch.
Parallel A* for State-Space Search.
Handbook of Parallel Constraint Reasoning
Alex Fukunaga, Adi Botea, Yuu Jinnai, Akihiro Kishimoto
2018 A* conf
Policy and Value Transfer in Lifelong Reinforcement Learning.
ICML
David Abel, Yuu Jinnai, Yue (Sophie) Guo, George Dimitri Konidaris, Michael L. Littman
2017 J jnl
A Survey of Parallel A.
CoRR
Alex Fukunaga, Adi Botea, Yuu Jinnai, Akihiro Kishimoto
2017 A* conf
Learning to Avoid Dominated Action Sequences in Planning for Black-Box Domains.
AAAI
Yuu Jinnai, Alex Fukunaga
2017 A* conf
Learning to Prune Dominated Action Sequences in Online Black-Box Planning.
AAAI
Yuu Jinnai, Alex S. Fukunaga
2017 J jnl
On Hash-Based Work Distribution Methods for Parallel Best-First Search.
CoRR
Yuu Jinnai, Alex Fukunaga
2017 J jnl
On Hash-Based Work Distribution Methods for Parallel Best-First Search.
J. Artif. Intell. Res.
Yuu Jinnai, Alex Fukunaga
2016 A* conf
Abstract Zobrist Hashing: An Efficient Work Distribution Method for Parallel Best-First Search.
AAAI
Yuu Jinnai, Alex Fukunaga
2016 A* conf
Automated Creation of Efficient Work Distribution Functions for Parallel Best-First Search.
ICAPS
Yuu Jinnai, Alex S. Fukunaga