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Climber-Pilot: Non-myopic instruction-following retrieval

简体中文

Core public-data retrieval mechanism.

Paper information

Field Details
Paper Paper or original source
Institution NetEase Cloud Music.
First public release 2026-02-14 (arXiv v1)
Author code No public author code found as of 2026-09-05.
Local adapter or method key climber-pilot
Local reproduction code src/auto_research/reproductions/climber_pilot/

Paper method and evidence

Time-aware multi-item prediction distills long-horizon consumption into a one-step generator. Condition-guided sparse attention injects category and business constraints without separate filtering or multi-step inference.

flowchart LR
  A[Time-aware multi-item targets] --> B[Distill one-step generator]
  B[Distill one-step generator] --> C[Apply constrained sparse attention]

Original paper figure

Climber-Pilot paper figure

Figure shows time-aware and condition-guided retrieval. From the original paper; copyright remains with the authors.

Core equation

\[ \mathcal L_{TAMIP}=-\sum_{k=1}^{K}w_k\log p(i_{t+k}|H_t),\qquad A'=A\odot M_c. \]

Reported results

NetEase Cloud Music A/B reports a core business metric +4.24%.

Local reproduction

auto-research reproduce --paper climber-pilot --dataset-dir data --seeds 42,43,44

MovieLens-1M fixed catalog: NDCG@10 0.05401→0.09251 (+71.29%). Three-seed metrics, mean, SD and 95% CI. No private features, production traffic or serving. These local public-data results do not reproduce online lift.