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cs.AI2026
Learning from Less: Measuring the Effectiveness of RLVR in Low Data and Compute Regimes
Justin Bauer, Thomas Walshe, Derek Pham +4
Fine-tuning Large Language Models (LLMs) typically relies on large quantities of high-quality annotated data, or questions with well-defined ground truth answers in the case of Rei…
cs.AI2026
The Hitchhikers Guide to Rubric Quality Understanding and Enrichment
Zhengyang Qi, Ankit Aich, Charles Dickens +7
Rubrics distill notions of expert quality and measure agent performance. However, the quality of rubrics themselves have not been systematically measured and are often left to down…