Dear colleagues, the photos from 1st day are here: https://vk.com/album-38193760_306953158
VK
AINL 2025, Day 1 β 271 photos
AINL 2025, Day 1 - AINL Conference 2025 - 271 photos
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Dear colleagues, as part of our conference AINL 2025 we have two nominations:
NSU Choice Award
Boris Malashenko, Ivan Jarsky, Valeria Efimova. Leveraging Large Language Models For Scalable Vector Graphics Processing: A Review
AINL 2025 Best Paper Award
Petr Sychev, Andrey Goncharov, Daniil Vyazhev, Edvard Khalafyan, Alexey Zaitsev. When an LLM is apprehensive about its answers - and when its uncertainty is justified
On the photo Valentin Malykh gives a MTS AI gift to Best Paper's author Petr Sychev.
NSU Choice Award
Boris Malashenko, Ivan Jarsky, Valeria Efimova. Leveraging Large Language Models For Scalable Vector Graphics Processing: A Review
AINL 2025 Best Paper Award
Petr Sychev, Andrey Goncharov, Daniil Vyazhev, Edvard Khalafyan, Alexey Zaitsev. When an LLM is apprehensive about its answers - and when its uncertainty is justified
On the photo Valentin Malykh gives a MTS AI gift to Best Paper's author Petr Sychev.
π₯15π7β€2
Dear colleagues here is 2nd day photos: https://vk.com/album-38193760_306967308
VK
AINL 2025, Day 2 β 203 photos
AINL 2025, Day 2 - AINL Conference 2025 - 203 photos
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AINL Eval has this year more than a dozen participants. We were flattered that GigaCheck command decided to participate in our challenge.
The challenge was to not only identify if a text was human or AI-generated but also pinpoint which exact model (e.g., GPT-4 Turbo, Gemma 2-27B) was used.
π₯GigaCheck team got the 1st place. Enhancing GigaCheck tool with an additional classification layer, they achieved:
β 91% accuracy on public test data, including texts from an unfamiliar model
β 86% accuracy on private test sets with previously unseen domains
π₯The team who won the 2nd place is from HSE and ReText.Ai. They combined statistical and neural model features to improve overall detection performance.
Applying this approach, the team was able to achieve 85% accuracy on private test setsπ
π₯The third-place team achieved 82% accuracy, beating our baseline (81% accuracy).
The details on the competition will be described in a paper included in AINL proceedings, stay tuned!
The challenge was to not only identify if a text was human or AI-generated but also pinpoint which exact model (e.g., GPT-4 Turbo, Gemma 2-27B) was used.
π₯GigaCheck team got the 1st place. Enhancing GigaCheck tool with an additional classification layer, they achieved:
β 91% accuracy on public test data, including texts from an unfamiliar model
β 86% accuracy on private test sets with previously unseen domains
π₯The team who won the 2nd place is from HSE and ReText.Ai. They combined statistical and neural model features to improve overall detection performance.
Applying this approach, the team was able to achieve 85% accuracy on private test setsπ
π₯The third-place team achieved 82% accuracy, beating our baseline (81% accuracy).
The details on the competition will be described in a paper included in AINL proceedings, stay tuned!
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The Layer
ΠΠ°Π½Π°Π» ΠΊΠΎΠΌΠ°Π½Π΄Ρ ΠΊΠΎΠΌΠΏΡΡΡΠ΅ΡΠ½ΠΎΠ³ΠΎ Π·ΡΠ΅Π½ΠΈΡ Layer, R&D Department, SberDevices
π₯14β€1π1
Roman Derunets - Knowledge as Recollection: Advancing Multimodal Retrieval-Augmented Generation
Roman is from Siberian Neuronets, our gold sponsor.
VK Video
YouTube
Roman is from Siberian Neuronets, our gold sponsor.
VK Video
YouTube
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Dear colleagues, we are glad to present you recording of panel discussion with invited speakers Sergey Markov and Natalia Loukashevitch, a researcher from Siberian Neuronets Ivan Bondarenko and AINL Chair Valentin Malykh. The discussion is devoted to AI development in recent years, its place in educational system and the future of AI conferences. The discussion is in Russian.
VK Video
YouTube
VK Video
YouTube
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Dear colleagues, we are glad to present you video of the second invited talk from our conference. It is given by Sergey Markov and devoted to LLM agents and human-centered AI. Here is the recording:
VK Video
YouTube
VK Video
YouTube
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