Dingjie Song

According to our database1, Dingjie Song authored at least 15 papers between 2020 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2025
Less is More: A Simple yet Effective Token Reduction Method for Efficient Multi-modal LLMs.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
On the Compositional Generalization of Multimodal LLMs for Medical Imaging.
CoRR, 2024

BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement.
CoRR, 2024

Both Text and Images Leaked! A Systematic Analysis of Multimodal LLM Data Contamination.
CoRR, 2024

LongLLaVA: Scaling Multi-modal LLMs to 1000 Images Efficiently via Hybrid Architecture.
CoRR, 2024

MileBench: Benchmarking MLLMs in Long Context.
CoRR, 2024

CMB: A Comprehensive Medical Benchmark in Chinese.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

AceGPT, Localizing Large Language Models in Arabic.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2023
HuatuoGPT-II, One-stage Training for Medical Adaption of LLMs.
CoRR, 2023

AceGPT, Localizing Large Language Models in Arabic.
CoRR, 2023

CMB: A Comprehensive Medical Benchmark in Chinese.
CoRR, 2023

Episode-Based Prompt Learning for Any-Shot Intent Detection.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

2022
Self-Supervised Task Augmentation for Few-Shot Intent Detection.
J. Comput. Sci. Technol., 2022

TCBERT: A Technical Report for Chinese Topic Classification BERT.
CoRR, 2022

2020
R3: A Reading Comprehension Benchmark Requiring Reasoning Processes.
CoRR, 2020


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