1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Curriculum Reinforcement Learning Can Incentivize Reasoning Capacity in LLMs Beyond the Base Model
Pengxiang Cai, Tianchen Fang, Xiaohan Li +3
Reinforcement learning with verifiable rewards (RLVR) is widely viewed as a promising path toward continuously improving large language models. Recent works, however, suggest that…
cs.AI2020★ 1 cited
The design and implementation of Language Learning Chatbot with XAI using Ontology and Transfer Learning
Nuobei Shi, Qin Zeng, Raymond Lee
In this paper, we proposed a transfer learning-based English language learning chatbot, whose output generated by GPT-2 can be explained by corresponding ontology graph rooted by f…