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cs.CL2025
RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments
Zhiyuan Zeng, Hamish Ivison, Yiping Wang +14
We introduce Reinforcement Learning (RL) with Adaptive Verifiable Environments (RLVE), an approach using verifiable environments that procedurally generate problems and provide alg…
cs.CL2023★ 6 cited
Scan and Snap: Understanding Training Dynamics and Token Composition in 1-layer Transformer
Yuandong Tian, Yiping Wang, Beidi Chen +1
Transformer architecture has shown impressive performance in multiple research domains and has become the backbone of many neural network models. However, there is limited understa…