KDD 2026 - Efficient Test-Time Scaling for LLM-based Time Series Forecasting @TheOfficialACM

KDD 2026 - Efficient Test-Time Scaling for LLM-based Time Series Forecasting @TheOfficialACM

Uploaded July 2026 | Updated September 2026, 2 weeks ago

Xuan-May Le, Minh-Tuan Tran, Ling Luo, Uwe Aickelin, Dinh Phung, Trung Le

KDD 2026 - Efficient Test-Time Scaling for LLM-based Time Series Forecasting

KDD 2026 - PinRec: Unified Generative Retrieval Model for Pinterest Recommender Systems

2025 ACM – AAAI Allen Newell Award

KDD 2026 - Orbit-Adaptive Zero-Shot Forecasting on Spatio-Temporal Graph

KDD 2026 - PolarFormer: Radial-Angular Latent Modeling for Unconditional Time Series Generation

KDD 2026 - APEX-SQL: Talking to the data via Agentic Exploration for Text-to-SQL

JPAL Summer of Science Poster Presentations (in Spanish)

Fireside Chat with Entrepreneur/Venture Capitalist Vinod Khosla

KDD 2026 - DA^2-Unlearn: Dual-Adaptive Forget-Repair-Based Recommendation Unlearning

KDD 2026 - Personalizing Marketplace Policies with Competing Objectives and Constrained Experiments

KDD2026-OnePath toModel ThemAll: Learnable-TimeFlowMatching for CrystalStructure andEnergyPrediction

KDD 2026 - Stationarity-Aware Retrieval-Augmented Time Series Forecasting

Association for Computing Machinery (ACM) |

KDD 2026 - Efficient Test-Time Scaling for LLM-based Time Series Forecasting