On the Behavioral Traits of LLM Agents

arXiv:2609.32776 · cs.CL · Submitted 2026-09-26 · Read on arXiv

cs.CL

Submitted: 2026-09-26

Updated: 2026-09-26

Code: https://github.com/JoeZhao527/ABD

Terminology

• Consistency — 12× in this paper · explained in 3 episodes
• Benchmark — 10× in this paper · explained in 2 episodes
• AI Agents — 7× in this paper · explained in 2 episodes
• Benchmarking — 5× in this paper · explained in 3 episodes
• Trace — 4× in this paper · explained in 2 episodes
• Core — 3× in this paper · explained in 2 episodes
• Generative AI — 3× in this paper · explained in 2 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Generalizability — 2× in this paper · explained in 6 episodes
• Grounding — 2× in this paper · explained in 3 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Failure Modes — 1× in this paper · explained in 3 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Multi-Agent System — 1× in this paper · explained in 6 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Steering — 1× in this paper · explained in 2 episodes

Sources

• gpt-oss-120b & gpt-oss-20b Model Card
• General Agent Evaluation
• An LLM-Native Psychometric Instrument Reveals a Self-Report--Behavior Gap Across 25 Models
• TRAIL: Trace Reasoning and Agentic Issue Localization
• How to Interpret Agent Behavior
• The Personality Illusion: Revealing Dissociation Between Self-Reports & Behavior in LLMs
• Knowing But Not Doing: Convergent Morality and Divergent Action in LLMs
• MTI: A Behavior-Based Temperament Profiling System for AI Agents
• Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading
• LiveClawBench: Benchmarking LLM Agents on Complex, Real-World Assistant Tasks
• Applying Psychometrics to Large Language Model Simulated Populations: Recreating the HEXACO Personality Inventory Experiment with Generative Agents
• Human Psychometric Questionnaires Mischaracterize LLM Behavior
• APIFlow-Bench: Measuring Whether Agents Survive Long, Dependent API Workflows
• NatureBench: Can Coding Agents Match the Published SOTA of Nature-Family Papers?
• Exploring the Personality Traits of LLMs through Latent Features Steering
• ActTraitBench: Quantifying the Knowledge-Decision Gap in Large Language Models via Human-Grounded Behavioral Validation
• OSWorld 2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks

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