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…The model consists of a statistical encoder and a parallel slot-based decoder . Parallel decoding preserves the permutation invariance of logical disjunction ; an autoregressive decoder would instead impose an arbitrary clause order…
…We propose Co-Evolving Policy Distillation (C oPD ), which encourages parallel training of experts and introduces OPD during each expert's ongoing RLVR training rather than after complete expert training, with experts…
…Integrated as a parallel branch alongside the Feed-Forward Network (FFN) in LVLMs, PVM establishes a distance-agnostic retrieval pathway that directly provides visual embeddings for precise visual perception , thereby structurally mitigating…
…As peer agents explore the same task in parallel, the hub records concise notes on what each agent has established, attempted, or ruled out, and enables each agent to selectively access what…
…KVM is implementable with standard operations and without custom kernels, and supports chunk-wise parallelizable training and prefill . It provides many of the benefits of both traditional transformer s (expandable context memory…
…Pipeline parallelism combined with CPU offloading mitigates these hardware bottlenecks by reducing communication overhead. However, existing PP schedules suffer from an inherent limitation termed the weight binding issue . Binding uneven model stages…
…First, reward design spans eight families, including orchestration rewards for parallelism speedup, split correctness, and aggregation quality. Second, reward and credit signals attach to eight credit- or signal-bearing units from token…
…Web2BigTable adopts a bi-level architecture in which an upper-level orchestrator decomposes the task into sub-problems and lower-level worker agents solve them in parallel. Through a closed-loop run…
…Existing World Action Models (WAMs) largely miss this reciprocity, treating world prediction and action generation as either isolated parallel branches or rigid predict-then-plan pipelines. We formalize this perspective as World…
Papers arxiv:2605.08044 Fast Byte Latent Transformer Published on May 8 Submitted by taesiri on May 11 Authors: , , , , , , , Abstract Byte-level language models overcome slow autoregressive generation through diffusion-based parallel…