Representation autoencoders (RAEs) reuse features from a pretrained visual encoder as reconstruction and diffusion latents, integrating strong visual representations into image generation. However, RAEs still need to decide which encoder layers form the shared latent space for the generator and pixel decoder. This choi...
Hong-Yang Du, Yun-Fei Xie, Jun-Jie Ye et al.· 0 citations
Joint-Embedding Predictive Architectures (JEPAs) are a promising paradigm for representation learning by predicting future latent states without reconstructing observations. Recent work has adapted JEPA-style latent prediction to offline zero-shot control through action-conditioned temporal prediction, enabling represe...
FARM (Fundamental Agentic Reward Model for Multi-task Wireless Network Optimization), a reward-space transfer framework that shifts cross-task knowledge reuse from policy space to trajectory-level decision evaluation, is proposed.
Fei-Ran You, Chang-Xu Ni, Hao-Zhe Ma et al.· 0 citations
The Global Verifier (GLOVE) is proposed, a framework that introduces a new design dimension for LLM memory systems by establishing a relative notion of truth and substantially improves agent success rates, suggesting a robust pathway to cognitive agents capable of self-evolving.
Across three text-to-video backbones, Carnator consistently achieves higher cache-hit end-to-end acceleration than the evaluated cross-request baselines despite more selective cache acceptance, reaching up to 2.17 times speedup while maintaining competitive generation quality.
Xing-Kun Yin, Xue-Bin Tang, Ming-Kun Xu et al.· 0 citations
NebastianSD is presented, a many-for-many, or M-for-N, speculative decoding system that organizes draft and target workers into independently schedulable resource pools and dynamically reconstructs stage-specific batches from shared request pools.
Professional graphic design is a long-horizon agentic task in which structured, editable artifacts emerge from many interdependent actions, yet outcomes admit no reliable programmatic oracle. We introduce a continual adaptation framework in which a frozen frontier model operates professional design software through mor...
Hong-Yang Du, Lan Yan, Christian Flores et al.· 0 citations
Counterfactual Relevance for On-Policy Distillation is introduced, which operationalizes task relevance through a paraphrase-calibrated counterfactual sensitivity margin and establishes CROP as a model-internal, contrast-specific method for allocating token-level supervision.
HACO is proposed, a runtime control scheme that treats each role request as a reliability-constrained selection problem over candidate agent instances, each coupling a role type, an LLM, and a concrete execution environment.
A Mobile Reasoning-as-aService (MORES) framework that treats reasoning as a computational service accessible to edge devices over wireless networks, and focuses on implicit reasoning, which achieves an approximately 18% improvement in system throughput over the baseline Soft Actor-Critic (SAC) algorithm.
Guanchen Liu, Hongyang Du, Kaibin Huang· 1 citation
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