Yuu Jinnai
19 papers · 2018–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (11)
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(47)
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Interdisciplinary Bridge
β‘
Prolific Year
(6)
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Conference Pioneer
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Trend Setter
β
The Questioner
(2)
π
Century Club
(19)
ποΈ
Keyword Collector
(91)
Conferences
ACL (6)
ICML (4)
AAAI (3)
EMNLP (3)
NAACL (2)
ICLR (1)
Top co-authors
Keywords
text generation
(6)
minimum bayes risk
(5)
language model alignment
(4)
reinforcement learning
(3)
minimum bayes-risk decoding
(2)
lifelong learning
(2)
transfer learning
(2)
lifelong reinforcement learning
(2)
beam search
(2)
human preference
(2)
option discovery
(2)
minimum bayes risk decoding
(2)
policy optimization
(2)
large language model
(2)
model alignment
(2)
machine translation
(2)
value function
(2)
direct preference optimization
(1)
preference learning
(1)
optimal transport
(1)
Papers
Theoretical Guarantees for Minimum Bayes Risk Decoding
ACL 2025
Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport
ACL 2025
Do Large Language Models Know Folktales? A Case Study of Yokai in Japanese Folktales
ACL 2025
Auto-Weighted Group Relative Preference Optimization for Multi-Objective Text Generation Tasks
EMNLP 2025
Annotation-Efficient Language Model Alignment via Diverse and Representative Response Texts
EMNLP 2025
Regularized Best-of-N Sampling with Minimum Bayes Risk Objective for Language Model Alignment
NAACL 2025
Filtered Direct Preference Optimization
EMNLP 2024
Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding
ACL 2024
Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding
ACL 2024
Does Cross-Cultural Alignment Change the Commonsense Morality of Language Models?
ACL 2024
Model-Based Minimum Bayes Risk Decoding for Text Generation
ICML 2024
On the True Distribution Approximation of Minimum Bayes-Risk Decoding
NAACL 2024
Lipschitz Lifelong Reinforcement Learning
AAAI 2021
Exploration in Reinforcement Learning with Deep Covering Options
ICLR 2020
Neural Architecture Search Using Deep Neural Networks and Monte Carlo Tree Search
AAAI 2020
Discovering Options for Exploration by Minimizing Cover Time
ICML 2019
Finding Options that Minimize Planning Time
ICML 2019
State Abstraction as Compression in Apprenticeship Learning
AAAI 2019
Policy and Value Transfer in Lifelong Reinforcement Learning
ICML 2018