Robust Function Calling for LLM Agents Under Interface Drift
SchemaShield-Lite restores Qwen3.5-9B function-calling accuracy after tool-interface drift without retraining.
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SchemaShield-Lite restores Qwen3.5-9B function-calling accuracy after tool-interface drift without retraining.
CIPR trains LLM agents to stay consistent across renamed or notationally changed interfaces.

Tutorial covers TypeSafe AI's Jev, a non-generative System One model returning typed choices, scores, and calibrated probabilities.
VHD-Play builds 3,300 agentic RL environments and lifts Qwen3.6-35B-A3B's mean score from 0.204 to 0.815.

Google Research and partners introduce ToolGrad, a verified tool-chain-first data generation framework reaching 99.8% pass rate and boosting Gemma-3-12B to 83.1 on BFCL.
Researchers release Explainability Assistant, an open-source conversational XAI tool using LLM function calling, lifting intent-parsing accuracy from 76.8% to 94%.
ToolLoop introduces a closed-loop synthetic data framework whose 11K examples lift a 4B model to 86.40% on BFCL tool-use evaluation.
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