{"list":"other","total":54,"rows":[{"id":"1706.03762","title":"Attention Is All You Need","created":"2017-06-12","cited_by_count":60361},{"id":"1810.04805","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","created":"2018-10-11","cited_by_count":40399},{"id":"2303.08774","title":"GPT-4 Technical Report","created":"2023-03-15","cited_by_count":18396},{"id":"1910.10683","title":"Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer","created":"2019-10-23","cited_by_count":14599},{"id":"2307.09288","title":"Llama 2: Open Foundation and Fine-Tuned Chat Models","created":"2023-07-18","cited_by_count":13028},{"id":"2005.11401","title":"Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks","created":"2020-05-22","cited_by_count":9297},{"id":"2004.04906","title":"Dense Passage Retrieval for Open-Domain Question Answering","created":"2020-04-10","cited_by_count":3824},{"id":"2309.16609","title":"Qwen Technical Report","created":"2023-09-28","cited_by_count":3344},{"id":"2310.11511","title":"Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection","created":"2023-10-17","cited_by_count":1839},{"id":"2205.10625","title":"Least-to-Most Prompting Enables Complex Reasoning in Large Language Models","created":"2022-05-21","cited_by_count":1407},{"id":"1603.09320","title":"Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs","created":"2016-03-30","cited_by_count":861},{"id":"2212.10496","title":"Precise Zero-Shot Dense Retrieval without Relevance Labels","created":"2022-12-20","cited_by_count":517},{"id":"2112.01488","title":"ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction","created":"2021-12-02","cited_by_count":476},{"id":"2401.08281","title":"The Faiss library","created":"2024-01-16","cited_by_count":376},{"id":"2305.15294","title":"Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy","created":"2023-05-24","cited_by_count":346},{"id":"2212.14024","title":"Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP","created":"2022-12-28","cited_by_count":318},{"id":"2209.10063","title":"Generate rather than Retrieve: Large Language Models are Strong Context Generators","created":"2022-09-21","cited_by_count":298},{"id":"2012.04584","title":"Distilling Knowledge from Reader to Retriever for Question Answering","created":"2020-12-08","cited_by_count":226},{"id":"2407.02485","title":"RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs","created":"2024-07-02","cited_by_count":202},{"id":"2308.11730","title":"Knowledge Graph Prompting for Multi-Document Question Answering","created":"2023-08-22","cited_by_count":152},{"id":"2106.05346","title":"End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering","created":"2021-06-09","cited_by_count":133},{"id":"2405.13792","title":"xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token","created":"2024-05-22","cited_by_count":125},{"id":"1707.00143","title":"Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph","created":"2017-07-01","cited_by_count":104},{"id":"2101.12631","title":"A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search","created":"2021-01-29","cited_by_count":82},{"id":"2409.13731","title":"KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation","created":"2024-09-10","cited_by_count":67},{"id":"2311.03758","title":"Large Language Model based Long-tail Query Rewriting in Taobao Search","created":"2023-11-07","cited_by_count":62},{"id":"2305.03653","title":"Query Expansion by Prompting Large Language Models","created":"2023-05-05","cited_by_count":57},{"id":"2308.11761","title":"KnowledGPT: Enhancing Large Language Models with Retrieval and Storage Access on Knowledge Bases","created":"2023-08-17","cited_by_count":52},{"id":"2210.11934","title":"An Analysis of Fusion Functions for Hybrid Retrieval","created":"2022-10-21","cited_by_count":51},{"id":"2405.18414","title":"Don't Forget to Connect! Improving RAG with Graph-based Reranking","created":"2024-05-28","cited_by_count":49},{"id":"2405.12497","title":"RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound for Approximate Nearest Neighbor Search","created":"2024-05-21","cited_by_count":48},{"id":"1504.03410","title":"Simultaneous Feature Learning and Hash Coding with Deep Neural Networks","created":"2015-04-14","cited_by_count":44},{"id":"1707.08325","title":"Asymmetric Deep Supervised Hashing","created":"2017-07-26","cited_by_count":35},{"id":"2405.19504","title":"MUVERA: Multi-Vector Retrieval via Fixed Dimensional Encodings","created":"2024-05-29","cited_by_count":32},{"id":"2407.09252","title":"Context Embeddings for Efficient Answer Generation in RAG","created":"2024-07-12","cited_by_count":26},{"id":"2503.10720","title":"AttentionRAG: Attention-Guided Context Pruning in Retrieval-Augmented Generation","created":"2025-03-13","cited_by_count":19},{"id":"2311.06595","title":"From Classification to Generation: Insights into Crosslingual Retrieval Augmented ICL","created":"2023-11-11","cited_by_count":17},{"id":"2504.19754","title":"Reconstructing Context: Evaluating Advanced Chunking Strategies for Retrieval-Augmented Generation","created":"2025-04-28","cited_by_count":13},{"id":"2210.15748","title":"DESSERT: An Efficient Algorithm for Vector Set Search with Vector Set Queries","created":"2022-10-27","cited_by_count":10},{"id":"1905.10987","title":"Learning to Route in Similarity Graphs","created":"2019-05-27","cited_by_count":9},{"id":"2311.00587","title":"Crosslingual Retrieval Augmented In-context Learning for Bangla","created":"2023-11-01","cited_by_count":7},{"id":"2406.10938","title":"DET-LSH: A Locality-Sensitive Hashing Scheme with Dynamic Encoding Tree for Approximate Nearest Neighbor Search","created":"2024-06-16","cited_by_count":6},{"id":"2411.12229","title":"SymphonyQG: Towards Symphonious Integration of Quantization and Graph for Approximate Nearest Neighbor Search","created":"2024-11-19","cited_by_count":6},{"id":"2404.10413","title":"VDTuner: Automated Performance Tuning for Vector Data Management Systems","created":"2024-04-16","cited_by_count":5},{"id":"2411.14754","title":"Subspace Collision: An Efficient and Accurate Framework for High-dimensional Approximate Nearest Neighbor Search","created":"2024-11-22","cited_by_count":4},{"id":"2308.09308","title":"Differentiable Retrieval Augmentation via Generative Language Modeling for E-commerce Query Intent Classification","created":"2023-08-18","cited_by_count":3},{"id":"2503.17911","title":"VSAG: An Optimized Search Framework for Graph-based Approximate Nearest Neighbor Search","created":"2025-03-23","cited_by_count":3},{"id":"2503.23409","title":"LIRA: A Learning-based Query-aware Partition Framework for Large-scale ANN Search","created":"2025-03-30","cited_by_count":3},{"id":"2505.19001","title":"DARTH: Declarative Recall Through Early Termination for Approximate Nearest Neighbor Search","created":"2025-05-25","cited_by_count":3},{"id":"2508.17886","title":"PGTuner: An Efficient Framework for Automatic and Transferable Configuration Tuning of Proximity Graphs","created":"2025-08-25","cited_by_count":3},{"id":"2510.00566","title":"Panorama: Fast-Track Nearest Neighbors","created":"2025-10-01","cited_by_count":2},{"id":"2312.04114","title":"TI-DNS: A Trusted and Incentive DNS Resolution Architecture based on Blockchain","created":"2023-12-07","cited_by_count":1},{"id":"2412.08993","title":"CBCMS: A Compliance Management System for Cross-Border Data Transfer","created":"2024-12-12","cited_by_count":1},{"id":"2511.22017","title":"POLARIS: Cross-Domain Access Control via Verifiable Identity and Policy-Based Authorization","created":"2025-11-27","cited_by_count":1}],"next_cursor":null}