LoopRec assigns per-item recursion depth in sequential recommenders
A shared block and per-item exit gate beat matched fixed-depth models; rarer and more recent items get deeper compute.
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A shared block and per-item exit gate beat matched fixed-depth models; rarer and more recent items get deeper compute.
ALoDLM allocates diffusion-model computation by token difficulty and beats matching autoregressive baselines.
TaH2 adaptively loops tokens that benefit, steepening the AIME accuracy-compute slope 53 percent versus a non-looped baseline.
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