You Only Pass Once: Answering and Abstaining Together in a Single Forward Pass of a Frozen Language Model
A frozen language model on reasoning tasks has two coupled weaknesses: it under-uses evidence its own residual stream already encodes, and it fails to detect when the input is insufficient to answer, so it confabulates. This paper consolidates two research lines that address these on the same residual stream: a conditional steering probe writes the stream at mid-stack layers and recovers reasoning accuracy from a frozen backbone, and a zero-shot sufficiency direction reads the stream and abstains when information is insufficient. Deployed in one forward pass they interfere: the steering write
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- FuzzyOverlapping authors or contributors · 62%bytedance/deer-flow →
“Shared author/contributor keys: wang”
- FuzzyOverlapping authors or contributors · 62%sgl-project/sglang →
“Shared author/contributor keys: luo”
- FuzzyOverlapping authors or contributors · 62%ray-project/ray →
“Shared author/contributor keys: wang”
- LinkedLinked via arxiv author · 85%Ziyang Luo →
“You Only Pass Once: Answering and Abstaining Together in a Single Forward Pass of a Frozen Language Model”
- LinkedLinked via arxiv author · 85%Zhongyao Chu →
“You Only Pass Once: Answering and Abstaining Together in a Single Forward Pass of a Frozen Language Model”
- LinkedLinked via arxiv author · 85%Xinjie He →
“You Only Pass Once: Answering and Abstaining Together in a Single Forward Pass of a Frozen Language Model”
- LinkedLinked via arxiv author · 85%Youting Wang →
“You Only Pass Once: Answering and Abstaining Together in a Single Forward Pass of a Frozen Language Model”
- LinkedLinked via arxiv author · 85%Xukui Qin →
“You Only Pass Once: Answering and Abstaining Together in a Single Forward Pass of a Frozen Language Model”