Self-play supports the self-evolution of language models, but solver performance can plateau or decline across rounds without guidance. Existing unguided methods typically use difficulty, learnability, or diversity signals to keep questions challenging and varied, without identifying which unresolved reasoning weakness...
Xin Wei, Yinze Ding, Fu-Cheng Xiong et al.· 1 citation
On-policy self-distillation (OPSD) trains mathematical reasoning models using a privileged teacher that sees a reference solution and supervises student-sampled prefixes. Standard OPSD uses one fixed parameter setting at every state, but nearby settings may offer additional supervision. We find that local parameter per...
Xin Wei, Yi-Fan Ding, Yoshua Y. Li et al.· 0 citations
Coding agents are increasingly deployed for iterative development on real repositories, yet existing evaluation barely answers a basic question: \emph{do coding agents reuse existing code or reinvent the wheel?} The question matters: every duplicated implementation is a fix applied twice and agents produce code far fas...
Dong-Sheng Ma, Si-Zhe Wang, Xin-Yi Huang et al.· 0 citations
SA is proposed, a Stable Advantage Fusion framework that avoids entropy collapse and consistently outperforms fixed-coefficient GRPO+OPD fusion, improving the aggregate score by 0.70% across all six model-domain settings while achieving more stable training.
Yifan Ding, Xin Wei, Yoshua Y. Li et al.· arXiv.org· 3 citations
DagEvo is introduced, whose diagnostician extracts recurring error causes from this history and stores them in a hierarchical error-cause memory, whose diagnostician extracts recurring error causes from this history and stores them in a hierarchical error-cause memory.
Xin Wei, Yinze Ding, Yoshua Y. Li et al.· 0 citations
Decompose--Enhance--Correct (Decompose--Enhance--Correct), a visual-consistency-guided agentic framework that improves frozen table parsers without retraining is proposed, which derives a 1,977-table Consensus-Hard Set from 4,556 candidates through offline metrics and cross-model consensus.
Jutao Xiao, Yuan Qu, Dongsheng Ma et al.· 0 citations
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