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RoGER
Publicwebium25
Publicelliot
PublicComprehensive and Rigorous Framework for Reproducible Recommender Systems EvaluationLLM-SentimentProber
PublicLLM-SentimentProber is a Python toolkit for analyzing and probing the hidden representations of large language models (LLMs) like LLaMA for sentiment analysis. It enables layer-wise sentiment encoding analysis, trains probe classifiers, and compares transformer models across benchmark datasets such as SST-2, IMDB, and Rotten Tomatoes.DataRec
PublicLLM-MemoryInspector
Public- Accepted as full paper at DL4SR@CIKM2022
Graph-Missing-Modalities
PublicHidingInTheHiddenStates
PublicDucho
PublicPython framework to extract multimodal features for multimodal recommendation in a highly-customizable way.LHider
PublicNeuroSense
PublicA Novel EEG Dataset Utilizing Low-Cost, Sparse Electrode Devices for Emotion ExplorationGeCo
PublicDIVAN
PublicDucho-meets-Elliot
PublicDiCE
PublicPRONTO
Public- Website for the tutorial "Graph Neural Networks for Recommendation: Reproducibility, Graph Topology, and Node Representation" accepted at LoG 2023
ijhcs-user-in-rs
PublicFormal-MultiMod-Rec
PublicFormalizing Multimedia Recommendation through Multimodal Deep Learning, accepted in ACM Transactions on Recommender Systems.webium24
Public