Pingjie Wang

According to our database1, Pingjie Wang authored at least 14 papers between 2024 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Bridging the Dynamic Perception Gap: Training-Free Draft Chain-of-Thought for Dynamic Multimodal Spatial Reasoning.
CoRR, May, 2025

Combatting Dimensional Collapse in LLM Pre-Training Data via Diversified File Selection.
CoRR, April, 2025

DSVD: Dynamic Self-Verify Decoding for Faithful Generation in Large Language Models.
CoRR, March, 2025

Towards Omni-RAG: Comprehensive Retrieval-Augmented Generation for Large Language Models in Medical Applications.
CoRR, January, 2025

Combatting Dimensional Collapse in LLM Pre-Training Data via Submodular File Selection.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

AuscMLLM: Bridging Classification and Reasoning in Heart Sound Analysis with a Multimodal Large Language Model.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
AuscultaBase: A Foundational Step Towards AI-Powered Body Sound Diagnostics.
CoRR, 2024

HSDreport: Heart Sound Diagnosis with Echocardiography Reports.
CoRR, 2024

Reconstruct the Pruned Model without Any Retraining.
CoRR, 2024

M2K-VDG: Model-Adaptive Multimodal Knowledge Anchor Enhanced Video-grounded Dialogue Generation.
CoRR, 2024

MSG-BART: Multi-Granularity Scene Graph-Enhanced Encoder-Decoder Language Model for Video-Grounded Dialogue Generation.
Proceedings of the IEEE International Conference on Acoustics, 2024

HSDreport: Heart Sound Diagnosis with Echocardiography Reports.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Pruning before Fine-tuning: A Retraining-free Compression Framework for Pre-trained Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

CE-VDG: Counterfactual Entropy-based Bias Reduction for Video-grounded Dialogue Generation.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024


  Loading...