Papers with Production

2 papers
Agent-Ops: A Multi-Agent Orchestration Framework for End-to-End SOP Automation in E-Commerce Operations (2026.acl-industry)

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Challenge: Existing Large Language Models fail to execute multistep operational workflows requiring precise procedural adherence.
Approach: They propose an end-to-end multi-agent framework automating Standard Operating Procedures in e-commerce.
Outcome: The proposed framework achieves 85-97% accuracy and a 94.2% execution consistency in e-commerce . it is based on a human-AI framework that transforms ambiguous documentation into automation-ready specifications .
Domain-Agnostic Neural Architecture for Class Incremental Continual Learning in Document Processing Platform (2023.acl-industry)

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Challenge: Recent methods with stochastic gradient learning struggle in streaming data setups and are restricted to specific domains.
Approach: They propose a fully differentiable architecture that enables the training of high-performance classifiers when examples from each class are presented separately.
Outcome: The proposed architecture achieves SOTA results without a memory buffer and clearly outperforms the reference methods.

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