1 citations · 1 across the 2 of their papers we have counts for
6 papers · 1 filter
Learning Selective LLM Autonomy from Copilot Feedback in Enterprise Customer Support Workflows
Nikita Borovkov, Elisei Rykov, Olga Tsymboi +4
We present a deployed system that automates end-to-end customer support workflows inside an enterprise Business Process Management (BPM) platform. The approach is scalable in produ…
Multimodal Evaluation of Russian-language Architectures
Artem Chervyakov, Ulyana Isaeva, Anton Emelyanov +15
Multimodal large language models (MLLMs) are currently at the center of research attention, showing rapid progress in scale and capabilities, yet their intelligence, limitations, a…
When Models Lie, We Learn: Multilingual Span-Level Hallucination Detection with PsiloQA
Elisei Rykov, Kseniia Petrushina, Maksim Savkin +6
Hallucination detection remains a fundamental challenge for the safe and reliable deployment of large language models (LLMs), especially in applications requiring factual accuracy.…
SmurfCat at PAN 2024 TextDetox: Alignment of Multilingual Transformers for Text Detoxification
Elisei Rykov, Konstantin Zaytsev, Ivan Anisimov +1
This paper presents a solution for the Multilingual Text Detoxification task in the PAN-2024 competition of the SmurfCat team. Using data augmentation through machine translation a…
S3: A Simple Strong Sample-effective Multimodal Dialog System
Elisei Rykov, Egor Malkershin, Alexander Panchenko
In this work, we present a conceptually simple yet powerful baseline for the multimodal dialog task, an S3 model, that achieves near state-of-the-art results on two compelling lead…
SmurfCat at SemEval-2024 Task 6: Leveraging Synthetic Data for Hallucination Detection
Elisei Rykov, Yana Shishkina, Kseniia Petrushina +3
In this paper, we present our novel systems developed for the SemEval-2024 hallucination detection task. Our investigation spans a range of strategies to compare model predictions…