6 papers
GigaCheck: Detecting LLM-generated Content via Object-Centric Span Localization
Irina Tolstykh, Aleksandra Tsybina, Sergey Yakubson +3
With the increasing quality and spread of LLM assistants, the amount of generated content is growing rapidly. In many cases and tasks, such texts are already indistinguishable from…
Saliency-Guided DETR for Moment Retrieval and Highlight Detection
Aleksandr Gordeev, Vladimir Dokholyan, Irina Tolstykh +1
Existing approaches for video moment retrieval and highlight detection are not able to align text and video features efficiently, resulting in unsatisfying performance and limited…
VIBE: Visual Instruction Based Editor
Grigorii Alekseenko, Aleksandr Gordeev, Irina Tolstykh +7
Instruction-based image editing is among the fastest developing areas in generative AI. Over the past year, the field has reached a new level, with dozens of open-source models rel…
LLMTrace: A Corpus for Classification and Fine-Grained Localization of AI-Written Text
Irina Tolstykh, Aleksandra Tsybina, Sergey Yakubson +1
The widespread use of human-like text from Large Language Models (LLMs) necessitates the development of robust detection systems. However, progress is limited by a critical lack of…
NoHumansRequired: Autonomous High-Quality Image Editing Triplet Mining
Maksim Kuprashevich, Grigorii Alekseenko, Irina Tolstykh +4
Recent advances in generative modeling enable image editing assistants that follow natural language instructions without additional user input. Their supervised training requires m…
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation
Maksim Kuprashevich, Grigorii Alekseenko, Irina Tolstykh
Multimodal Large Language Models (MLLMs) have recently gained immense popularity. Powerful commercial models like ChatGPT-4V and Gemini, as well as open-source ones such as LLaVA,…