An evaluation framework that holds candidate retrieval, target state, model, decoding, and tool budget fixed while varying the support delivered to the agent is formulated, separating retrieval quality from the problem of turning retrieved experience into safe, useful support for a new task.
Yifei Li, Heng Wang, Lingling Zhang et al.· 0 citations
Self-Routing is proposed, a behavior-conditioned post-training framework that uses rollout correctness and confidence to decide how each sample should be optimized, allowing training to adapt without external teachers, extra annotations, or additional sampling.
Yifei Li, Lingling Zhang, Mu-Ye Huang et al.· 0 citations
Self-specialized teacher distillation (SSTD), a two-stage procedure that first trains a copy of the base model into a domain teacher, then distills its token distribution to a student on prefixes sampled from the student itself, is proposed.
Yifei Li, Rong-Man Xu, Lingling Zhang et al.· 1 citation
A structured memory framework for query-conditioned user-state inference for long-term personalization that achieves state-of-the-art performance on both PersonaMem and KnowU-Bench, demonstrating the effectiveness of query-conditioned user-state inference for long-term personalization.
Heng Wang, Yifei Li, Lingling Zhang et al.· 0 citations
GLaQ, a grounded latent-query framework that replaces sequential latent rollout with a fixed set of context-conditioned queries grounded in the original visual tokens, is introduced, suggesting that direct query-to-image grounding can recover localized evidence from the full image without external visual operations or...
Ze-Sheng Yang, Lingling Zhang, Xinyu Zhang et al.· 1 citation
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