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Roland Memisevic

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#artificial intelligence Preprint Sep 2026

Alleviating Hallucination in Reasoning Tasks with Training-Free Uncertainty-Guided Steering

Recent work on hallucination detection in large language models has shown that, for a fixed pre-trained model and reasoning task, it is possible to estimate the model's confidence in the correctness of its outputs. Such uncertainty estimates have primarily been used to improve truthfulness by detecting or filtering con...

Li-Tian Liu, Qi-Qi Hou, Yu-Bin Jian et al. · 0 citations
Jul 2026

On Locality and Length Generalization in Visual Reasoning

The experiments reveal that, similar to language models, vision models can learn to exploit global shortcuts and thereby fail to generalize over task length or complexity, but it is shown that recurrent vision policies based on strictly local perception can mitigate these failures, thereby allowing models to generalize...

Pulkit Madan, S. Haresh, Reza Ebrahimi et al. · 0 citations

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