Jiaxing Sun

Orcid: 0000-0003-3493-3055

Affiliations:
  • Wuhan University, State Key Lab. of LIESMARS, Wuhan, China


According to our database1, Jiaxing Sun authored at least 11 papers between 2024 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
SenseBench: A Benchmark for Remote Sensing Low-Level Visual Perception and Description in Large Vision-Language Models.
CoRR, May, 2026

MolRecBench-Wild: A Real-World Benchmark for Optical Chemical Structure Recognition.
CoRR, May, 2026

Is One-Shot In-Context Learning Helpful for Data Selection in Task-Specific Fine-Tuning of Multimodal LLMs?
CoRR, March, 2026

NMRTrans: Structure Elucidation from Experimental NMR Spectra via Set Transformers.
CoRR, February, 2026

2025
CHOICE: Benchmarking the Remote Sensing Capabilities of Large Vision-Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

OpenHuEval: Evaluating Large Language Model on Hungarian Specifics.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

VHM: Versatile and Honest Vision Language Model for Remote Sensing Image Analysis.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
G2LDIE: Global-to-Local Dynamic Information Enhancement Framework for Weakly Supervised Building Extraction From Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2024

COREval: A Comprehensive and Objective Benchmark for Evaluating the Remote Sensing Capabilities of Large Vision-Language Models.
CoRR, 2024

H2RSVLM: Towards Helpful and Honest Remote Sensing Large Vision Language Model.
CoRR, 2024

Benchmarking Chinese Commonsense Reasoning of LLMs: From Chinese-Specifics to Reasoning-Memorization Correlations.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024


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