Information Flow Reveals When to Trust Language Models We use information flow to build a layer-wise trace that reveals each context token’s contribution to the output, providing an interpretable basis for assessing reliability From this analysis, we introduce two measures to calibrate prediction confidence
INFORMATIONFLOWREVEALS WHEN TOTRUSTLANGUAGEMODELS - OpenReview o understand how language models produce outputs In this 111 work, we propose a novel UQ method based on information flow (Ferrando et al , 2022; Ferrando 112 Voita, 2024), leveraging the model’s attention mechan
SHIFT: Smoothing Hallucinations by Information Flow Tuning for . . . In this paper, we provide a novel perspective for the causes and mitigations for halluci-nations by tracking the information flow within MLLMs We find that information in MLLMs does not flow in a strictly continuous manner, instead, they may mutate abruptly in deep layers
arxiv简读 2024. 11. 29--视觉信息在MLLM中究竟是如何流转的? Cross-modal Information Flow in Multimodal Large Language Models 2024 11 29 今天非常有意思的一篇论文,探究 多模态模型 中,视觉信息在模型内部究竟是如何流转的,阿姆斯特丹大学,哥本哈根大学和慕尼黑大学出品,很有启发。
Understanding the Information Flow inside Large Language Moving forward, exploring various types of interventions and their effects on information flow may hold the key to gaining a deeper understanding of how language models process information