Pingjie Wang
9 papers · 2024–2026 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(22)
Venues
Top co-authors
Research topics
Artificial Intelligence
(8)
Core AI
(8)
Machine Learning
(4)
Application Areas
(3)
Deep Learning
(2)
Healthcare & Medicine
(2)
Natural Language Processing
(2)
Clinical
(2)
Learning Types · Deep Learning
(2)
Computer Vision
(1)
Applications
(1)
Domain-Specific
(1)
Generation
(1)
Learning Types · Machine Learning
(1)
Models
(1)
Keywords
large language model
(2)
multimodal learning
(2)
visual perception
(1)
medical imaging
(1)
knowledge distillation
(1)
factual accuracy
(1)
question answering
(1)
data selection
(1)
chain-of-thought reasoning
(1)
in-context learning
(1)
visual reasoning
(1)
knowledge base
(1)
generative model
(1)
cross-modal alignment
(1)
decision making
(1)
counterfactual reasoning
(1)
multimodal large language model
(1)
hallucination mitigation
(1)
pre-trained language model
(1)
model compression
(1)
Papers
Cross-Modal Coreference Alignment: Enabling Reliable Information Transfer in Omni-LLMs
ACL 2026
When Seeing Is not Enough: Revealing the Limits of Active Reasoning in MLLMs
ACL 2026
Bridging the Dynamic Perception Gap: Training-Free Draft Chain-of-Thought for Dynamic Multimodal Spatial Reasoning
EMNLP 2025
Combatting Dimensional Collapse in LLM Pre-Training Data via Submodular File Selection
ICLR 2025
DSVD: Dynamic Self-Verify Decoding for Faithful Generation in Large Language Models
EMNLP 2025
Towards Omni-RAG: Comprehensive Retrieval-Augmented Generation for Large Language Models in Medical Applications
ACL 2025
CE-VDG: Counterfactual Entropy-based Bias Reduction for Video-grounded Dialogue Generation
COLING 2024
HSDreport: Heart Sound Diagnosis with Echocardiography Reports
EMNLP 2024
Pruning before Fine-tuning: A Retraining-free Compression Framework for Pre-trained Language Models
COLING 2024