This work has been accepted to #COLM2025. If you are in Montreal this week for COLM and would like to chat about this (or anything related to discovery / exploration / RL), drop me a note! Poster session 2: Tuesday Oct 7, 4:30-6:30pm Poster number 68

Anthony GX-Chen@agx-chen.bsky.social · last yr.

Language model (LM) agents are all the rage now—but they may exhibit cognitive biases when inferring causal relationships! We evaluate LMs on a cognitive task to find: - LMs struggle with certain simple causal relationships - They show biases similar to human adults (but not children) 🧵⬇️

Language model (LM) agents are all the rage now—but they may exhibit cognitive biases when inferring causal relationships! We evaluate LMs on a cognitive task to find: - LMs struggle with certain simple causal relationships - They show biases similar to human adults (but not children) 🧵⬇️

Fascinating preprint from with our "blicket detector" paradigm from Chen et al at NYU& Mila. LLM's make the same causal inference mistakes that adults make but 4 year olds don't! Of course, models are trained on adult data, kids figure it out for themselves. im-ant.github.io/publications...