Author

Sean Du

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#artificial intelligence Preprint Sep 2026

Toolcompass: Guiding Tool Trialing, Not Suppressing It

This work introduces ToolCompass, a post-training framework that guides tool trialing by organizing tool-call representations according to shared functions and jointly reduces intra-function variation across domains and increases inter-function separation.

Jun-Lin Fang, Chong-Chong Zhang, Do Nguyen-Thanh et al. · 0 citations

Book Open access Aug 2026

Training a Generalist Hallucination Detector across Multiple Domains via Adaptive Layer Aggregation

Stability-Aware Adaptive Layer Aggregation (SALA) defines a layer-wise instability index computed from the training data, which measures how separability varies across domains and provides an upper bound on the possible separability drop from training to test.

Xinyi Li, Zhen Fang, Yadan Luo et al. · Proceedings of the 32nd ACM... · 0 citations