How BlackPearl Dominated All Three KDD 2024 OAG‑Challenge Tracks with Large‑Model Techniques

The BlackPearl team leveraged large‑model strategies—including iterative self‑refinement, train‑time difficulty increase, test‑time augmentation, grafting‑learning, and boosting—to dominate the WhoIsWho‑IND, PST, and AQA tracks of the KDD 2024 OAG‑Challenge Cup, surpassing traditional feature‑engineered, GNN, and BERT baselines.

AQAAcademic Graph MiningKDD 2024

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How BlackPearl Dominated All Three KDD 2024 OAG‑Challenge Tracks with Large‑Model Techniques

Meituan Technology Team

Jul 25, 2024 · Artificial Intelligence

Selected Meituan Papers Accepted at KDD 2024: Summaries of Five Long Papers

Meituan’s five long papers accepted at KDD 2024 introduce a dual‑intent model for search‑recommendation, a joint auction mechanism for ads, a robust ATE estimator for heavy‑tailed metrics, a decision‑focused causal learning framework for marketing, and an efficient on‑demand order‑pooling system for real‑time courier assignments.

Controlled ExperimentsKDD 2024Machine Learning

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Selected Meituan Papers Accepted at KDD 2024: Summaries of Five Long Papers

How BlackPearl Dominated All Three KDD 2024 OAG‑Challenge Tracks with Large‑Model Techniques

Selected Meituan Papers Accepted at KDD 2024: Summaries of Five Long Papers

How BlackPearl Dominated All Three KDD 2024 OAG‑Challenge Tracks with Large‑Model Techniques