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G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation
An Open Large Reasoning Model for Real-World Solutions
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports comp…
Causal Representation Learning for Out-of-Distribution Recommendation (WWW'22)
[RelKD'24] Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models
Official JAX implementation of Learning to (Learn at Test Time): RNNs with Expressive Hidden States
Inference Speed Benchmark for Learning to (Learn at Test Time): RNNs with Expressive Hidden States
📖 This is a repository for organizing papers, codes and other resources related to unified multimodal models.
Official style files for papers submitted to venues of the Association for Computational Linguistics
Quick scripts to calculate CLIP text-image similarity
The code for paper "Diversifying Dialog Generation via Adaptive Label Smoothing" in ACL 2021.
Knowledge Distillation: CVPR2020 Oral, Revisiting Knowledge Distillation via Label Smoothing Regularization
[ICLR 2021] Contrastive Learning with Adversarial Perturbations for Conditional Text Generation
A Toolbox for MultiModal Recommendation. Integrating 10+ Models...
Official PyTorch implementation Source code for MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation, accepted at SIGIR 2023
Code for the paper ``Coherent Comments Generation for Chinese Articles with a Graph-to-Sequence Model''
RUCAIBox / Few-Shot-KG2Text
Forked from turboLJY/Few-Shot-KG2TextSource for the ACL 2021 Findings paper "Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models"
Code for our paper "Graph Language Models"
Code and data for the ACM CIKM 2024 paper "Adversarial Text Rewriting for Text-aware Recommender Systems"
[ICDE2024] Official code of "BSL: Understanding and Improving Softmax Loss for Recommendation"
Research code for ACL 2020 paper: "Distilling Knowledge Learned in BERT for Text Generation".