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cs.LG2024
METEOR: Evolutionary Journey of Large Language Models from Guidance to Self-Growth
Jiawei Li, Xiaoang Xu, Yang Gao
Model evolution enables learning from feedback to refine experiences and update skills, transforming models from having no domain knowledge to becoming domain experts. However, the…
cs.LG2024
Unveiling and Addressing Pseudo Forgetting in Large Language Models
Huashan Sun, Yizhe Yang, Yinghao Li +2
Although substantial efforts have been made to mitigate catastrophic forgetting in continual learning, the intrinsic mechanisms are not well understood. In this work, we demonstrat…
cs.AI2024
PSPO*: An Effective Process-supervised Policy Optimization for Reasoning Alignment
Jiawei Li, Xinyue Liang, Junlong Zhang +3
Process supervision enhances the performance of large language models in reasoning tasks by providing feedback at each step of chain-of-thought reasoning. However, due to the lack…