MIRROR combines before-execution self-reflection inside each agent with after-execution memory-based reflection, and reports improved pass rates over the baselines tested on StableToolBench and TravelPlanner.
• Maintain coherence in task progression by ensuring that outputs from earlier subtasks are properly used in subsequent subtasks
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
MIRROR: Multi-agent Intra- and Inter-Reflection for Optimized Reasoning in Tool Learning
MIRROR combines before-execution self-reflection inside each agent with after-execution memory-based reflection, and reports improved pass rates over the baselines tested on StableToolBench and TravelPlanner.