most citedMulti-hop Commonsense Knowledge Injection Framework for Zero-Shot Commonsense Question Answering

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cs.CL2026

EvoRubric: Self-Evolving Rubric-Driven RL for Open-Ended Generation

Xin Guan, Xiaomeng Hu, Shen Huang +6

Reinforcement Learning (RL) has advanced Large Language Models (LLMs) in verifiable domains, while open-ended generation remains challenging due to the absence of definitive reward…

cs.CL2023★ 1 cited

Multi-hop Commonsense Knowledge Injection Framework for Zero-Shot Commonsense Question Answering

Xin Guan, Biwei Cao, Qingqing Gao +3

Commonsense question answering (QA) research requires machines to answer questions based on commonsense knowledge. However, this research requires expensive labor costs to annotate…