Author

Yue Lu

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#machine learning Preprint Sep 2026

CHAIN: Calibrated LLM Forecasting via Causal-Temporal Hypergraph Inference

Large language models have achieved significant progress in event forecasting, yet their probability outputs exhibit systematic calibration bias that varies heterogeneously across different domains and question types, undermining the trustworthiness of probabilistic outputs for decision-making under uncertainty. Howeve...

Wen-Jin Liu, Chen-Xi Wang, Yue Lu et al. · 0 citations

Preprint Aug 2026

MMDynOpt-Agent: Dynamic Optimization for Multimodal Large Language Model Reasoning via Reinforcement Learning

MMDynOpt-Agent is a lightweight multimodal agent that models the dynamic optimization of multimodal reasoning as a Markov decision process via end-to-end reinforcement learning, designed to reduce the cost of multimodal reasoning.

Wen-Jin Liu, Hao-Ran Luo, Fa-Yuan Ke et al. · 0 citations