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cs.LG2026
Rubric Curriculum RL: Exploiting the Generation-Verification Gap in Non-Verifiable Domains
Sumeet Ramesh Motwani, Tejas Krishnan, Alistair Letcher +10
Reinforcement learning with verifiable rewards (RLVR) has led to significant gains in math and code generation. Extending these gains to open-ended domains remains challenging: gro…
cs.LG2023★ 2 cited
Natural Language Commanding via Program Synthesis
Apurva Gandhi, Thong Q. Nguyen, Huitian Jiao +2
We present Semantic Interpreter, a natural language-friendly AI system for productivity software such as Microsoft Office that leverages large language models (LLMs) to execute use…