Songtao Jiang
10 papers · 2024–2026 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (23) 💎 Century Club · Bronze ❓ The Questioner (2)
⚡
Prolific Year · Productive
Top co-authors
Research topics
Artificial Intelligence
(7)
Core AI
(7)
Deep Learning
(4)
Machine Learning
(4)
Natural Language Processing
(3)
Learning Types · Deep Learning
(3)
Computer Vision
(2)
Healthcare & Medicine
(2)
Application Areas
(2)
Applications · Natural Language Processing
(2)
Clinical
(2)
Learning Types · Machine Learning
(2)
Applications · Computer Vision
(1)
Architectures
(1)
Core Methods
(1)
Keywords
model alignment
(2)
large language model
(2)
multimodal learning
(2)
modality alignment
(2)
direct preference optimization
(1)
preference optimization
(1)
reinforcement learning
(1)
vision-language alignment
(1)
preference learning
(1)
code generation
(1)
visual reasoning
(1)
medical report generation
(1)
image captioning
(1)
instruction tuning
(1)
parameter efficient
(1)
visual question answering
(1)
reward learning
(1)
mixture of expert
(1)
vision-language model
(1)
representation learning
(1)
Papers
Act as you think: Reinforcing Consistent Reasoning in Medical Visual Question Answering
ACL 2026
Beyond N-grams: A Hierarchical Reward Learning Framework for Clinically-Aware Medical Report Generation
AAAI 2026
CodePercept: Code-Grounded Visual STEM Perception for MLLMs
CVPR 2026
Learning Transferable Temporal Primitives for Video Reasoning via Synthetic Videos
CVPR 2026
Fair Text-Attributed Graph Representation Learning
EMNLP 2025
Fast or Slow? Integrating Fast Intuition and Deliberate Thinking for Enhancing Visual Question Answering
ACL 2025
HSCR: Hierarchical Self-Contrastive Rewarding for Aligning Medical Vision Language Models
ACL 2025
Knowing or Guessing? Robust Medical Visual Question Answering via Joint Consistency and Contrastive Learning
MICCAI 2025
Modality-Fair Preference Optimization for Trustworthy MLLM Alignment
IJCAI 2025
Med-MoE: Mixture of Domain-Specific Experts for Lightweight Medical Vision-Language Models
EMNLP 2024