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cs.LG2026
ForecastCompass: Guiding Agentic Forecasting with Adaptive Factor Memory
Yurui Chang, Yongkang Du, Yuanpu Cao +2
Agentic forecasting is important for decision-making in dynamic environments, but it remains challenging because agents must reason from incomplete, time-limited evidence and produ…
cs.LG2026
Mitigating topology biases in Graph Diffusion via Counterfactual Intervention
Wendi Wang, Jiaxi Yang, Yongkang Du +1
Graph diffusion models have gained significant attention in graph generation tasks, but they often inherit and amplify topology biases from sensitive attributes (e.g. gender, age,…
cs.LG2025
Controllable Pareto Trade-off between Fairness and Accuracy
Yongkang Du, Jieyu Zhao, Yijun Yang +1
The fairness-accuracy trade-off is a key challenge in NLP tasks. Current work focuses on finding a single "optimal" solution to balance the two objectives, which is limited conside…