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Lama Moukheiber

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#artificial intelligence Preprint Sep 2026

LabBook: Harnessing Experimental History for Efficient LLM-Driven Discovery

Evolutionary approaches to LLM-driven discovery often generate new programs from a small set of selected ancestors. This keeps contexts manageable but can omit useful evidence from other experiments, whereas including the full experimental history produces long, redundant contexts. We introduce a simple, single-agent d...

Bo Yuan, Wenqian Ye, Ze-Lin Zhao et al. · 0 citations
Preprint Aug 2026

Improving Generalization Robustness of Multimodal RLVR

Reinforcement Learning with Verifiable Rewards (RLVR) makes Multimodal Large Language Models more accurate, but the gains are brittle: simply paraphrasing a question or changing the prompt template can degrade them, which challenges reliable deployment in high-stakes scenarios like medical VQA. We trace this to two iss...

P. Zhou, Zhiwei Tang, Xiaopeng Peng et al. · 0 citations

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