Masafumi Oyamada
11 papers · 2019–2026 · 5 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (38) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint
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Conference Pioneer
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The Questioner
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Century Club · Bronze
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Keyword Collector
(70)
Top co-authors
Research topics
Machine Learning
(11)
Artificial Intelligence
(8)
Learning Types · Machine Learning
(8)
Natural Language Processing
(7)
Applications
(7)
Application Areas
(6)
Core AI
(6)
Deep Learning
(5)
Learning Types · Deep Learning
(5)
Core Methods
(3)
Generation
(2)
Models
(2)
Resources & Methods
(2)
Data Science & Analytics
(1)
Healthcare & Medicine
(1)
Keywords
large language model
(4)
retrieval-augmented generation
(4)
model merging
(2)
semi-supervised learning
(1)
preference learning
(1)
weakly supervised learning
(1)
object detection
(1)
question answering
(1)
text generation
(1)
information retrieval
(1)
semantic analysis
(1)
passage retrieval
(1)
multi-label classification
(1)
confidence calibration
(1)
task generalization
(1)
knowledge distillation
(1)
document layout analysis
(1)
computational efficiency
(1)
synthetic data generation
(1)
text classification
(1)
Papers
SCAN: Semantic Document Layout Analysis for Textual and Visual Retrieval-Augmented Generation
EACL 2026
Can Large Language Models Invent Algorithms to Improve Themselves?: Algorithm Discovery for Recursive Self-Improvement through Reinforcement Learning
NAACL 2025
LaMDAgent: An Autonomous Framework for Post-Training Pipeline Optimization via LLM Agents
EMNLP 2025
On Synthesizing Data for Context Attribution in Question Answering
ACL 2025
Understanding the Impact of Confidence in Retrieval Augmented Generation: A Case Study in the Medical Domain
ACL 2025
Jellyfish: Instruction-Tuning Local Large Language Models for Data Preprocessing
EMNLP 2024
Relevance, Diversity, and Exclusivity: Designing Keyword-augmentation Strategy for Zero-shot Classifiers
NAACL 2024
Context Quality Matters in Training Fusion-in-Decoder for Extractive Open-Domain Question Answering
EMNLP 2023
Low-resource Taxonomy Enrichment with Pretrained Language Models
EMNLP 2021
Learning with Unsure Responses
AAAI 2020
Meimei: An Efficient Probabilistic Approach for Semantically Annotating Tables
AAAI 2019