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stanford-futuredata / ColBERTColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)
HKUDS / GraphGPT[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"
texttron / TevatronTevatron - Unified Document Retrieval Toolkit across Scale, Language, and Modality. Demo in SIGIR 2023, SIGIR 2025.
geek-ai / IrganIRGAN SIGIR paper experimental code
LehengTHU / Agent4Rec[SIGIR 2024 perspective] The implementation of paper "On Generative Agents in Recommendation"
Bolin97 / MedArkThe code of MedArk is available for SIGIR'25.
ceo21ckim / Awesome RecsysThis Repository includes recent papers (RecSys, SIGIR, WWW, etc.) related to the Recommender Systems
oneal2000 / PRAGCode for Parametric RAG, SIGIR 2025 Full Paper
zjunlp / MKGformer[SIGIR 2022] Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion
fajieyuan / SIGIR2020 PeterrecUniversal User Representation Pre-training for Cross-domain Recommendation and User Profiling
Alibaba-NLP / Multi CPR[SIGIR 2022] Multi-CPR: A Multi Domain Chinese Dataset for Passage Retrieval
liuqidong07 / MOELoRA Peft[SIGIR'24] The official implementation code of MOELoRA.
jlscheerer / Xtr WarpXTR/WARP (SIGIR'25) is an extremely fast and accurate retrieval engine based on Stanford's ColBERTv2/PLAID and Google DeepMind's XTR.
tebesu / CollaborativeMemoryNetworkCollaborative Memory Network for Recommendation Systems, SIGIR 2018
AdeDZY / SIGIR19 BERT IRRepo of code and data for SIGIR-19 short paper "Deeper Text Understanding for IR with Contextual NeuralLanguage Modeling"
Georgetown-IR-Lab / CedrCode for CEDR: Contextualized Embeddings for Document Ranking, accepted at SIGIR 2019.
chenchongthu / ENMFThis is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.
hexiangnan / Sigir16 EalsExperiments codes for SIGIR'16 paper "Fast Matrix Factorization for Online Recommendation with Implicit Feedback "
mzhaoshuai / CenterCLIP[SIGIR 2022] CenterCLIP: Token Clustering for Efficient Text-Video Retrieval.
jingtaozhan / DRhardSIGIR'21: Optimizing DR with hard negatives and achieving SOTA first-stage retrieval performance on TREC DL Track.
