Detecting Hallucinations in SpeechLLMs at Inference Time Using Attention Maps explores Detect hallucinations in SpeechLLMs at inference time using attention-derived metrics for improved accuracy and generalization.. Commercial viability score: 6/10 in Speech AI.
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Canonical ID detecting-hallucinations-in-speechllms-at-inference-time-using-attention-maps | Route /paper/detecting-hallucinations-in-speechllms-at-inference-time-using-attention-maps
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/buildability/detecting-hallucinations-in-speechllms-at-inference-time-using-attention-maps
Subject: Detecting Hallucinations in SpeechLLMs at Inference Time Using Attention Maps
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Receipt path
/buildability/detecting-hallucinations-in-speechllms-at-inference-time-using-attention-maps
Paper ref
detecting-hallucinations-in-speechllms-at-inference-time-using-attention-maps
arXiv id
2604.19565
Generated at
2026-04-22T03:20:21.585Z
Evidence freshness
stale
Last verification
2026-04-22T03:20:21.585Z
Sources
3
References
0
Coverage
50%
Lineage hash
a0e2acdb1b79e0c9ceb256a93a797e26f2ca47ee1bf8c51f263b5e24c4c7e743
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unsigned_external
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Pending verification refs / 3 sources / Verification pending
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references
This equation captures one of the core mathematical components of the system. X = {xa,1, xa,2, . . . , xa,N | xt,1, xt,2, . . . , xt,M} ACl,h t = r al,h,t 1:N , al,h,t−1 1:N
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This equation captures one of the core mathematical components of the system. ARl,h t = Al,h t (Audio) Al,h t (Audio) + Al,h t (ART) .
Page and bbox are available; crop image is pending.
This equation captures one of the core mathematical components of the system. N+M+t−1 X Al,h t (ART) = j=N+M+1 al,h t,j.
Page and bbox are available; crop image is pending.
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