Papers by Anatolii Potapov

2 papers
Learning Selective LLM Autonomy from Copilot Feedback in Enterprise Customer Support Workflows (2026.acl-industry)

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Challenge: 45% of sessions automated in production without degrading support quality level . traditional automated processes are costly at scale and require manual rule authoring .
Approach: They propose a system that automates end-to-end customer support workflows inside an enterprise BPM platform.
Outcome: The proposed system automates 45% of sessions and reduces average handling time by 39% without degrading support quality level.
T-pro 2.0: An Efficient Russian Hybrid-Reasoning Model and Playground (2026.eacl-demo)

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Challenge: Recent foundation models show that reasoningoriented training and improved decoding methods can substantially boost both accuracy and speed.
Approach: They propose an open-weight Russian LLM for hybrid reasoning and efficient inference.
Outcome: The proposed model supports direct answering and reasoning-trace generation . the model and inference pipeline can be extended or modified to suit Russian-language reasoning .

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