3 papers
cs.IR2026
Pre-trained LLMs Meet Sequential Recommenders: Efficient User-Centric Knowledge Distillation
Nikita Severin, Danil Kartushov, Vladislav Urzhumov +8
Sequential recommender systems have achieved significant success in modeling temporal user behavior but remain limited in capturing rich user semantics beyond interaction patterns.…
cs.CV2025
Multi-Track Multimodal Learning on iMiGUE: Micro-Gesture and Emotion Recognition
Arman Martirosyan, Shahane Tigranyan, Maria Razzhivina +5
Micro-gesture recognition and behavior-based emotion prediction are both highly challenging tasks that require modeling subtle, fine-grained human behaviors, primarily leveraging v…
cs.IR2024
LLM-KT: A Versatile Framework for Knowledge Transfer from Large Language Models to Collaborative Filtering
Nikita Severin, Aleksei Ziablitsev, Yulia Savelyeva +8
We present LLM-KT, a flexible framework designed to enhance collaborative filtering (CF) models by seamlessly integrating LLM (Large Language Model)-generated features. Unlike exis…