Aligning to Illusions: Choice Blindness in Human and AI Feedback | ScienceToStartup | ScienceToStartup

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References (52)

[1]

How RLHF Amplifies Sycophancy

2026Itai Shapira, Gerdus Benade et al.

[2]

Restoring sight in choice blindness: pupillometry and behavioral evidence of covert detection

2025P. R. Grassi, Lena Hoeppe et al.

[3]

When Human Preferences Flip: An Instance-Dependent Robust Loss for RLHF

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"This paper explores the limitations of human and AI feedback in reinforcement learning, focusing on the detectability of choice blindness in preference annotations."

RLHF Evaluation•Score: 3•View PDF ↗

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Aligning to Illusions: Choice Blindness in Human and AI Feedback

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References (52)

Founder's Pitch

"This paper explores the limitations of human and AI feedback in reinforcement learning, focusing on the detectability of choice blindness in preference annotations."

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Aligning to Illusions: Choice Blindness in Human and AI Feedback

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Founder's Pitch

"This paper explores the limitations of human and AI feedback in reinforcement learning, focusing on the detectability of choice blindness in preference annotations."

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