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Manuel Cherep

@mcherep.bsky.social
53 followers 133 following 17 posts

PhD student at MIT working on behavioral machine learning.

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Manuel Cherep @mcherep.bsky.social · 23/10/2025
Even without human cognitive limits, agents: - Heavily over-weight ratings - Over-weight cheaper items when ratings are matched - Are swayed by trivial order effects - Fall for simple nudges (e.g. “Best seller”) These are systematic, often large effects. 🧵5/9
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Manuel Cherep @mcherep.bsky.social · 23/10/2025
The main finding: LLM agents are not the rational, utility-maximizing actors we might hope for. Rather, they are strongly biased by these cues. We found agents are often 3-10x+ more susceptible to nudges and superficial attribute differences than our human baseline. 🧵4/9
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Manuel Cherep @mcherep.bsky.social · 23/10/2025
🚨New Preprint 🚨 Current agent evals mostly measure competence, but miss behavior e.g. are their decisions stable, rational, manipulable, human-like? We introduce ABxLAB, a framework for studying agent behavior. Using it we create an agentic consumer behavior benchmark. 🧵1/9
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Manuel Cherep @mcherep.bsky.social · 12/03/2025
✨Contrastive Learning from Synthetic Audio Doppelgängers #ICLR2025✨ w/ @nikhilsinghmus.bsky.social Our method learns useful audio representations with randomly synthesized sounds (often better than real data!) 🌐Project: doppelgangers.media.mit.edu 📄Paper: arxiv.org/abs/2406.05923 🧵1/3
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Manuel Cherep @mcherep.bsky.social · 26/11/2024
Excited to present our new paper on nudging LLMs (👉🤖) as a spotlight talk at the NeurIPS Behavioral ML Workshop! @neuripsconf.bsky.social w/ Nikhil Singh* (@nikhilsinghmus.bsky.social) and Pattie Maes 🔗 openreview.net/forum?id=chb... 🧵 1/3
Paper title: Superficial Alignment, Subtle Divergence, and Nudge Sensitivity in LLM Decision-Making; Authors: Manuel Cherep*, Nikhil Singh*, and Pattie Maes
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