| Relevance Isn't All You Need: Scaling RAG Systems With Inference-Time Compute Via Multi-Criteria Reranking | Mar 14, 2025 | AllLarge Language Model | CodeCode Available | 13 |
| Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models | Jun 5, 2025 | RerankingRetrieval | CodeCode Available | 5 |
| Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation | Feb 4, 2025 | BenchmarkingInformation Retrieval | CodeCode Available | 4 |
| EasyRAG: Efficient Retrieval-Augmented Generation Framework for Automated Network Operations | Oct 14, 2024 | Answer GenerationQuestion Answering | CodeCode Available | 4 |
| ReChorus2.0: A Modular and Task-Flexible Recommendation Library | May 28, 2024 | Click-Through Rate PredictionRecommendation Systems | CodeCode Available | 4 |
| MTEB: Massive Text Embedding Benchmark | Oct 13, 2022 | BenchmarkingInformation Retrieval | CodeCode Available | 4 |
| Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning | Mar 8, 2025 | Reranking | CodeCode Available | 3 |
| DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation | May 12, 2025 | Language ModelingLanguage Modelling | CodeCode Available | 2 |
| LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document Reranking | Apr 10, 2025 | RerankingRetrieval-augmented Generation | CodeCode Available | 2 |
| Rank1: Test-Time Compute for Reranking in Information Retrieval | Feb 25, 2025 | Information RetrievalInstruction Following | CodeCode Available | 2 |
