Mark A. Hasegawa-Johnson
9 papers · 2019–2025 · 4 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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The Questioner
Venues
Top co-authors
Research topics
Artificial Intelligence
(5)
Core AI
(5)
Deep Learning
(4)
Machine Learning
(4)
Speech & Audio
(3)
Architectures
(3)
Recognition
(3)
Learning Types · Machine Learning
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Natural Language Processing
(1)
Analysis · Speech & Audio
(1)
Analysis · Computer Vision
(1)
Application Areas
(1)
Learning Types · Deep Learning
(1)
Keywords
vision-language model
(2)
multimodal large language model
(2)
multimodal learning
(2)
direct preference optimization
(1)
question answering
(1)
neural machine translation
(1)
speech recognition
(1)
test-time adaptation
(1)
video understanding
(1)
automatic speech recognition
(1)
speaker recognition
(1)
statistical machine translation
(1)
state space model
(1)
diffusion model
(1)
synthetic data
(1)
long short-term memory
(1)
self-supervised learning
(1)
perceptual learning
(1)
cross-attention mechanism
(1)
image retrieval
(1)
Papers
Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models
ICLR 2025
ConfPO: Exploiting Policy Model Confidence for Critical Token Selection in Preference Optimization
ICML 2025
C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion
ICLR 2024
Query-based Cross-Modal Projector Bolstering Mamba Multimodal LLM
EMNLP 2024
Speech Self-Supervised Learning Using Diffusion Model Synthetic Data
ICML 2024
Learning Speaker Aware Offsets for Speaker Adaptation of Neural Networks
Interspeech 2019
Multimodal Word Discovery and Retrieval with Phone Sequence and Image Concepts
Interspeech 2019
Study of the Performance of Automatic Speech Recognition Systems in Speakers with Parkinson’s Disease
Interspeech 2019
The Neural Correlates Underlying Lexically-Guided Perceptual Learning
Interspeech 2019