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cs.CL2026
Regret Pre-training: Bridging Prior and Posterior Views for Enhanced Knowledge Grounding
Mingkuan Zhao, Xiayu Sun, Wentao Hu +5
Causal language models factorize sequence probabilities using only preceding context, leaving future information unexploited during training despite its availability in the trainin…
cs.CL2026
Hallucinations as Orthogonal Noise: Inference-Time Manifold Alignment via Dynamic Contextual Orthogonalization
Mingkuan Zhao, Wentao Hu, Tianchen Huang +6
Hallucination in Large Language Models (LLMs), characterized by the generation of content inconsistent with contextual facts or logical constraints -- remains a persistent challeng…
cs.CL2026
Resonant Context Anchoring: Decoupling Attention Routing and Signal Gain at Inference Time
Mingkuan Zhao, Yide Gao, Wentao Hu +6
Large Language Models (LLMs) frequently exhibit "contextual disregard" when faced with input evidence that conflicts with their internal parametric memory, leading to persistent fa…