Mixture-of-Experts (MoE) models reduce computation through sparse expert activation, but deployment still requires storing a large number of expert parameters. We study post-training expert pruning using task-domain calibration data as a subset-selection problem: given a pretrained MoE layer, select a fixed number of e...
Jelena Markovic-Voronov, P. Prastakos, Kayhan Behdin et al.· 0 citations
Language-model agents revise their working context as information becomes obsolete, but deleting text does not erase its influence on cached computation. Later key-value (KV) states remain conditioned on the deleted content, while recomputing the entire retained suffix can be costly. We introduce budgeted KV-cache repa...
Han Yu, Wen-Hui Zhu, Jincheng Cao et al.· 0 citations
AvoKV-E is introduced, a training-free eviction policy that first delays eligibility for recent states and then ranks eligible entries using candidate-normalized read pressure, key redundancy, and value-payload potential, which shows that long-reasoning KV eviction should preserve not only keys that are likely to be re...
Han Yu, Wen-Hui Zhu, Xi-Wen Chen et al.· 0 citations
Agentic reinforcement learning (RL) trains a large language model (LLM) to act over long, multi-step interactions. However, a single localized error can cause task failure, while trajectory-level rewards provide limited guidance for assigning credit to individual decisions. To address this limitation, we introduce Segm...
Xin-Chen Du, Zheng-Ze Zhou, Wen-Hui Zhu et al.· 0 citations
TREK (Teacher-Routed Exploration via Forward KL), a simple staged procedure that uses distillation not for imitation but for exploration support expansion, achieves high success rates early in training while unaided GRPO requires substantially more optimization steps to reach comparable levels.
LatentMT is introduced, the first systematic study of latent-reasoning LoopLMs for machine translation that adapts a small 2.6B-parameter backbone model with lightweight training and shows that hidden-representation differences shrink along the recurrent reasoning-step axis, supporting the observed saturation in perfor...
Wei-Rui Chen, Samar M. Magdy, Chiyu Zhang et al.· arXiv.org· 0 citations
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