This work develops HarnessBandit, an online scheduler that selects one harness per optimizer step, and improves over mixed-batch multi-harness training on both benchmarks, while training diagnostics indicate that learnability and transferability provide distinct, evolving signals.
Hong-Liang Wei, Xiao-Bing Tu, Yinggui Wang et al.· 1 citation· ⚡1
BQ-LoRA is proposed, a low-rank adaptation framework that organizes trajectory updates through a local behavior quotient manifold and contains two modules, i.e., behavior quotient balancing (BQB) and decision preserving compression (DPC).
Peng-Yang Zhou, Xiao-Bing Tu, Zheng-Xi Liu et al.· 0 citations
TAC-Merge is proposed for tracing and coordinating cross-layer influence in multimodal model merging and demonstrated the effectiveness in consolidating complementary expert capabilities and supporting generalization to unseen tasks.
Peng-Yang Zhou, Xiao-Bing Tu, Zheng-Xi Liu et al.· 0 citations
This work argues that closing this gap requires alignment at every level of the pipeline, including execution, supervision, optimization, and evaluation, rather than scale alone, and presents Wuying-Browser-Agent, a unified framework that addresses each of these levels.
A. Chen, Yan Cheng, Zhangye Han et al.· 1 citation
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