Verona Teo
@veronateo.bsky.social
Excited to share our new work at #CogSci2025!
We explore how people plan deceptive actions, and how detectives try to see through the ruse and infer what really happened based on the traces left behind. 🕵️♀️
Paper: osf.io/preprints/osf/vqgz5_v1
Code: github.com/cicl-stanford/recursive_deception
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We explore how people plan deceptive actions, and how detectives try to see through the ruse and infer what really happened based on the traces left behind. 🕵️♀️
Paper: osf.io/preprints/osf/vqgz5_v1
Code: github.com/cicl-stanford/recursive_deception
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July 28, 2025 at 7:12 PM
Excited to share our new work at #CogSci2025!
We explore how people plan deceptive actions, and how detectives try to see through the ruse and infer what really happened based on the traces left behind. 🕵️♀️
Paper: osf.io/preprints/osf/vqgz5_v1
Code: github.com/cicl-stanford/recursive_deception
1/
We explore how people plan deceptive actions, and how detectives try to see through the ruse and infer what really happened based on the traces left behind. 🕵️♀️
Paper: osf.io/preprints/osf/vqgz5_v1
Code: github.com/cicl-stanford/recursive_deception
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Reposted by Verona Teo
The Causality in Cognition Lab is pumped for #cogsci2025 💪
July 25, 2025 at 3:47 PM
The Causality in Cognition Lab is pumped for #cogsci2025 💪
Excited to share our paper “Evaluating LLM Agent Collusion in Double Auctions”!
We put LLMs in a simulated market and find that collusion increases when they are able to communicate via natural language, differs across models, and is influenced by urgency and oversight.
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We put LLMs in a simulated market and find that collusion increases when they are able to communicate via natural language, differs across models, and is influenced by urgency and oversight.
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July 8, 2025 at 4:17 PM
Excited to share our paper “Evaluating LLM Agent Collusion in Double Auctions”!
We put LLMs in a simulated market and find that collusion increases when they are able to communicate via natural language, differs across models, and is influenced by urgency and oversight.
1/
We put LLMs in a simulated market and find that collusion increases when they are able to communicate via natural language, differs across models, and is influenced by urgency and oversight.
1/