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Verbal feedback is not just a communication tool; it fundamentally reshapes how language agents learn and operate across their lifecycle.
Achieving a 4.48x speedup in throughput for multi-agent systems without sacrificing performance could revolutionize enterprise applications.
T1-Bench reveals that existing benchmarks fail to capture the nuanced interactions required for realistic agent performance, paving the way for more robust evaluations in AI systems.
