Mitigating Entangled Steering in Large Vision-Language Models for Hallucination Reduction explores A plug-and-play framework for vision-language models that reduces hallucinations by selectively intervening in latent space without altering generation behavior.. Commercial viability score: 7/10 in Vision-Language Models.
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Canonical route: /paper/mitigating-entangled-steering-in-large-vision-language-models-for-hallucination-reduction
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Canonical ID mitigating-entangled-steering-in-large-vision-language-models-for-hallucination-reduction | Route /paper/mitigating-entangled-steering-in-large-vision-language-models-for-hallucination-reduction
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/buildability/mitigating-entangled-steering-in-large-vision-language-models-for-hallucination-reduction
Subject: Mitigating Entangled Steering in Large Vision-Language Models for Hallucination Reduction
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Dimensions overall score 7.0
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This equation captures one of the core mathematical components of the system. β(π+1) = F (π) (β(π)), π= 0, . . . , πΏβ1 where F (π) (Β·) denotes the π-th tran
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Receipt path
/buildability/mitigating-entangled-steering-in-large-vision-language-models-for-hallucination-reduction
Paper ref
mitigating-entangled-steering-in-large-vision-language-models-for-hallucination-reduction
arXiv id
2604.07914
Generated at
2026-04-10T17:39:44.449Z
Evidence freshness
stale
Last verification
2026-04-10T17:39:44.449Z
Sources
3
References
0
Coverage
50%
Lineage hash
052dd8dcba9a4780fe66b530f33e4555fe2786e4644380180c98a58b222da3ae
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unsigned_external
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Pending verification refs / 3 sources / Verification pending
repo_url
references
This equation captures one of the core mathematical components of the system. π(π) = β(π) (π,π) ββ(π) ( Λπ,π) = Ξ(π) hall + Ξ(π) non-hall where Ξ(π) hall
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This equation captures one of the core mathematical components of the system. Lhall = ΓπΎ π=1 π€πΒ· π·KL πind β₯π(π) hall Experiments 5.1 Experimental Settings.
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