cheesebench-rodent-neuroscience

name	cheesebench-rodent-neuroscience
description	CheeseBench benchmark for evaluating LLMs on classical rodent behavioral neuroscience paradigms. Includes 9 tasks covering water maze, T-maze, Morris water maze, and other established behavioral tests. Cross-paradigm evaluation for neuroscience AI systems.
version	1.0.0
metadata	{"hermes":{"source_paper":"CheeseBench: Evaluating LLMs on Rodent Behavioral Neuroscience (arXiv:2604.13661)","tags":["neuroscience","benchmark","llm-evaluation","rodent","behavioral","paradigm"]}}

CheeseBench: Rodent Neuroscience LLM Evaluation

Overview

Comprehensive benchmark evaluating LLMs on classical rodent behavioral neuroscience paradigms. Contains 9 tasks covering established behavioral tests (water maze, T-maze, open field, fear conditioning, etc.) for systematic evaluation of neuroscience AI systems.

Benchmark Structure

Task	Paradigm	Evaluation
1	Water Maze	Spatial learning/memory
2	T-Maze	Working memory
3	Open Field	Locomotor activity
4	Fear Conditioning	Associative learning
5	Morris Water Maze	Spatial reference memory
6	Elevated Plus Maze	Anxiety-like behavior
7	Social Interaction	Social behavior
8	Novel Object Recognition	Recognition memory
9	Forced Swim	Behavioral despair

Usage

def run_cheesebench(model, task_id=None):
    """Evaluate model on CheeseBench tasks."""
    if task_id:
        return evaluate_single_task(model, task_id)
    return evaluate_all_tasks(model)

# Tasks probe understanding of:
# - Experimental design in neuroscience
# - Behavioral interpretation
# - Statistical analysis
# - Translational relevance

Applications

• Neuroscience AI evaluation: Benchmark domain-specific reasoning
• LLM capability assessment: Test scientific reasoning in neuroscience
• Educational tools: Validate AI teaching assistants for neuroscience
• Research assistance: Evaluate AI support for experimental design

References

• Original paper: arXiv:2604.13661v1
• Published: 2026-04-15