Author

Sirajul Salekin

2 papers indexed here

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#artificial intelligence Mar 2026

RubiCap: Rubric-Guided Reinforcement Learning for Dense Image Captioning

Remarkably, using a compact RubiCap-3B as a captioner produces stronger pretrained VLMs than those trained on captions from proprietary models, outperforming supervised distillation, prior RL methods, human-expert annotations, and GPT-4V-augmented outputs.

Tzu-Heng Huang, Sirajul Salekin, J. Movellan et al. · arXiv.org · 8 citations · ⚡2

#artificial intelligence Preprint Sep 2026

SCLATE: a Substrate for Continual-Learning Agent Training and Evaluation

SCLATE is presented, an execution substrate where benchmarks and unmodified agents each add their events to one open event scheduler through an adapter, and shows that an added memory system does not reliably beat the harness's native memory and that models differ widely in how they use the same harness and memory.

Youngmok Jung, Sirajul Salekin, Henry Tran et al. · 0 citations