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Institute of Software, Chinese Academy of Sciences
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Bash-Commenter achieves a remarkable 33.40% BLEU-4 score, setting a new benchmark for automated comment generation in Bash scripting.
LEVIRDet-159 not only sets a new standard in dataset scale but also enables a foundation model that generalizes effectively across diverse remote sensing contexts.
Achieving linear-time efficiency in remote sensing instance segmentation could revolutionize how we deploy vision models in resource-constrained environments.
SSMs are revolutionizing remote sensing by efficiently tackling complex data challenges, yet many researchers remain unaware of their full potential.
WeGenBench exposes the hidden deficiencies of text-to-image models, revealing that many leading systems struggle with specific generation tasks despite overall high performance.
Current LLMs can autonomously penetrate systems with success rates up to 69.3%, revealing alarming implications for cybersecurity.
Forget struggling with cryptic SQL: a new LLM fine-tuned with human preferences generates comments so good, they beat Qwen3-14B by up to 13% on standard metrics.
Current OmniLLMs stumble when processing real-world, long-form audio-visual content, achieving only ~35-65% accuracy on a new benchmark designed to test long-term memory and fine-grained understanding.
