Yohei Oseki
34 papers · 2019–2026 · 6 venues · across top CS/AI venues
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Research topics
Machine Learning
(19)
Artificial Intelligence
(18)
Core AI
(18)
Natural Language Processing
(16)
Interdisciplinary
(15)
Deep Learning
(13)
Cognitive Science
(10)
Core Methods
(10)
Generation
(10)
Linguistics
(10)
Learning Types
(8)
Architectures
(7)
Understanding
(6)
Optimization & Theory
(5)
Resources & Methods
(5)
Keywords
language model
(12)
cognitive modeling
(5)
syntactic evaluation
(4)
reading time
(4)
reading behavior
(3)
language acquisition
(3)
human reading behavior
(3)
representation learning
(3)
human sentence processing
(3)
syntactic structure
(3)
attention mechanism
(2)
syntactic generalization
(2)
composition attention grammar
(2)
internal representation
(2)
morphological inflection
(2)
eye tracking
(2)
layer-wise analysis
(2)
instruction tuning
(2)
transformer language model
(2)
formal language
(2)
Papers
An Existence Proof for Neural Language Models That Can Explain Garden-Path Effects via Surprisal
ACL 2026
Dual Alignment Between Language Model Layers and Human Sentence Processing
ACL 2026
Language Acquisition Device in Large Language Models
ACL 2026
Cognitive Feedback: Decoding Human Feedback from Cognitive Signals
EMNLP 2025
Derivational Probing: Unveiling the Layer-wise Derivation of Syntactic Structures in Neural Language Models
CoNLL 2025
Developmentally-plausible Working Memory Shapes a Critical Period for Language Acquisition
ACL 2025
How a Bilingual LM Becomes Bilingual: Tracing Internal Representations with Sparse Autoencoders
EMNLP 2025
If Attention Serves as a Cognitive Model of Human Memory Retrieval, What is the Plausible Memory Representation?
ACL 2025
Investigating Psychometric Predictive Power of Syntactic Attention
CoNLL 2025
Massive Supervised Fine-tuning Experiments Reveal How Data, Layer, and Training Factors Shape LLM Alignment Quality
EMNLP 2025
Transformers Can Model Human Hyperprediction in Buzzer Quiz
NAACL 2025
BabyLM Challenge: Exploring the effect of variation sets on language model training efficiency
CoNLL 2024
Can Language Models Induce Grammatical Knowledge from Indirect Evidence?
EMNLP 2024
Cognitive Information Bottleneck: Extracting Minimal Sufficient Cognitive Language Processing Signals
COLING 2024
Emergent Word Order Universals from Cognitively-Motivated Language Models
ACL 2024
Is Structure Dependence Shaped for Efficient Communication?: A Case Study on Coordination
CoNLL 2024
JCoLA: Japanese Corpus of Linguistic Acceptability
COLING 2024
Learning Bidirectional Morphological Inflection like Humans
COLING 2024
Modeling Overregularization in Children with Small Language Models
ACL 2024
Psychometric Predictive Power of Large Language Models
NAACL 2024
Targeted Syntactic Evaluation on the Chomsky Hierarchy
COLING 2024
Tree-Planted Transformers: Unidirectional Transformer Language Models with Implicit Syntactic Supervision
ACL 2024
BabyLM Challenge: Curriculum learning based on sentence complexity approximating language acquisition
CoNLL 2023
How Much Syntactic Supervision is βGood Enoughβ?
EACL 2023
JBLiMP: Japanese Benchmark of Linguistic Minimal Pairs
EACL 2023
CMCL 2022 Shared Task on Multilingual and Crosslingual Prediction of Human Reading Behavior
ACL 2022
Composition, Attention, or Both?
EMNLP 2022
Context Limitations Make Neural Language Models More Human-Like
EMNLP 2022
CMCL 2021 Shared Task on Eye-Tracking Prediction
NAACL 2021
Effective Batching for Recurrent Neural Network Grammars
ACL 2021
Lower Perplexity is Not Always Human-Like
ACL 2021
Modeling Human Sentence Processing with Left-Corner Recurrent Neural Network Grammars
EMNLP 2021
Inverting and Modeling Morphological Inflection
ACL 2019
Modeling Hierarchical Syntactic Structures in Morphological Processing
NAACL 2019