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cs.LG2026
CHAIN: Calibrated LLM Forecasting via Causal-Temporal Hypergraph Inference
Wenjin Liu, Chenxi Wang, Yue Lu +2
Large language models have achieved significant progress in event forecasting, yet their probability outputs exhibit systematic calibration bias that varies heterogeneously across…
cs.LG2026
CataOPD: Catalytic On-Policy Distillation for Large Language Model Reasoning
Wenjin Liu, Chenxi Wang, Jiapu Wang +3
Reinforcement learning (RL) and on-policy distillation (OPD) are two representative paradigms for improving large language model reasoning. However, when no correct trajectory is s…