5 citations · 5 across the 4 of their papers we have counts for
4 papers
GigaChat Audio: Time-aware Large Audio Language Model
Aleksandr Kutsakov, Mariia Sadovina, Georgii Gospodinov +4
Temporal grounding in long recordings remains challenging for audio-conditioned LLMs. We present a time-aware audio LLM that answers questions with explicit timestamps over up to 1…
GigaAM Multilingual: Foundation Model for Underrepresented Languages
Andrei Kuzmenko, Alexandr Maximenko, Aleksandr Kutsakov +5
Despite recent scaling successes, multilingual ASR performance remains highly uneven, with long-tail languages suffering from severe data scarcity. This work addresses the challeng…
GigaChat Family: Efficient Russian Language Modeling Through Mixture of Experts Architecture
GigaChat team, Mamedov Valentin, Evgenii Kosarev +31
Generative large language models (LLMs) have become crucial for modern NLP research and applications across various languages. However, the development of foundational models speci…
Large Raw Emotional Dataset with Aggregation Mechanism
Vladimir Kondratenko, Artem Sokolov, Nikolay Karpov +3
We present a new data set for speech emotion recognition (SER) tasks called Dusha. The corpus contains approximately 350 hours of data, more than 300 000 audio recordings with Russ…