Across 1,140 agent traces, LLM tool-calling agents exhibit high structural consistency (same tools, same order) but high argument variance, and only structural consistency predicts task correctness.
Toolformer : Language Models Can Teach Themselves to Use Tools
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
How Consistent Are LLM Agents? Measuring Behavioral Reproducibility in Multi-Step Tool-Calling Pipelines
Across 1,140 agent traces, LLM tool-calling agents exhibit high structural consistency (same tools, same order) but high argument variance, and only structural consistency predicts task correctness.