Author

Peng-Jun Lu

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#artificial intelligence Review Sep 2026

BENCHCOMPASS: From Scores to Signals for Training and Harness Decisions in Payment-Domain LLMs

BENCHCOMPASS is introduced, a payment-domain benchmark whose construction pipeline builds scenario-grounded tasks from typed evidence packs, applies LLM-based quality checks, creates task-input attack variants, and reserves final item admission for domain experts.

Si-Jie Dong, Wei-Feng Ren, Xuan-Wei Hu et al. · 0 citations

#machine learning Preprint Sep 2026

Rethinking the Evaluation of Efficiency Methods for Multi-Agent Systems

This work introduces a controlled and MAS-demanding diagnostic benchmark for representative MAS efficiency methods and shows that many reported gains are setup-dependent and may arise from structural collapse, disabled tool pathways, or starting systems where random pruning already preserves accuracy, rather than robus...

Jia-Mu Zhang, Ling-Xi Zhang, Peng-Jun Lu et al. · 1 citation