Goro Kobayashi
7 papers · 2020–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird
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Research topics
Artificial Intelligence
(6)
Natural Language Processing
(5)
Core AI
(5)
Deep Learning
(4)
Machine Learning
(4)
Architectures
(3)
Core Methods
(3)
Generation
(3)
Learning Types · Deep Learning
(2)
Optimization & Theory · Deep Learning
(2)
Optimization & Theory · Machine Learning
(2)
Techniques
(2)
Understanding
(2)
Learning Paradigms
(1)
Learning Types · Machine Learning
(1)
Keywords
attention mechanism
(2)
transformer architecture
(1)
representation learning
(1)
contrastive learning
(1)
embedding learning
(1)
logical reasoning
(1)
in-context learning
(1)
chain-of-thought reasoning
(1)
neural machine translation
(1)
text generation
(1)
masked language model
(1)
inductive reasoning
(1)
word alignment
(1)
text representation
(1)
gradient-based method
(1)
information gain
(1)
feed-forward network
(1)
residual connection
(1)
integrated gradient
(1)
attention map
(1)
Papers
Can Input Attributions Explain Inductive Reasoning in In-Context Learning?
ACL 2025
Analyzing Feed-Forward Blocks in Transformers through the Lens of Attention Maps
ICLR 2024
Assessing Step-by-Step Reasoning against Lexical Negation: A Case Study on Syllogism
EMNLP 2023
Contrastive Learning-based Sentence Encoders Implicitly Weight Informative Words
EMNLP 2023
Transformer Language Models Handle Word Frequency in Prediction Head
ACL 2023
Incorporating Residual and Normalization Layers into Analysis of Masked Language Models
EMNLP 2021
Attention is Not Only a Weight: Analyzing Transformers with Vector Norms
EMNLP 2020