Dingjie Song

Orcid: 0000-0002-6171-6614

According to our database1, Dingjie Song authored at least 23 papers between 2020 and 2025.

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Bibliography

2025
SAMed-2: Selective Memory Enhanced Medical Segment Anything Model.
CoRR, July, 2025

Enhancing Vector Quantization with Distributional Matching: A Theoretical and Empirical Study.
CoRR, June, 2025

Agentic Robot: A Brain-Inspired Framework for Vision-Language-Action Models in Embodied Agents.
CoRR, May, 2025

Aligning Multimodal LLM with Human Preference: A Survey.
CoRR, March, 2025

A Survey on Post-training of Large Language Models.
CoRR, March, 2025

From Correctness to Comprehension: AI Agents for Personalized Error Diagnosis in Education.
CoRR, February, 2025

MLLM-Bench: Evaluating Multimodal LLMs with Per-sample Criteria.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 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

Exploring Compositional Generalization of Multimodal LLMs for Medical Imaging.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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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