VerifySteer selectively steers hidden states at paragraph boundaries using latent correctness signals to control verifier strictness and outperform baselines on ProcessBench and Hard2Verify with lower compute.
Classify this text into exactly one emotion from this list: . . . Text:{text}Emotion
2 Pith papers cite this work. Polarity classification is still indexing.
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LLMs develop coherent latent representations of emotions that align with valence-arousal models, show mostly linear geometry, and support uncertainty quantification in emotion tasks.
citing papers explorer
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The Hidden Signal of Verifier Strictness: Controlling and Improving Step-Wise Verification via Selective Latent Steering
VerifySteer selectively steers hidden states at paragraph boundaries using latent correctness signals to control verifier strictness and outperform baselines on ProcessBench and Hard2Verify with lower compute.
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Latent Structure of Affective Representations in Large Language Models
LLMs develop coherent latent representations of emotions that align with valence-arousal models, show mostly linear geometry, and support uncertainty quantification in emotion tasks.