{"total":88,"rows":[{"id":"2312.10997","title":"Retrieval-Augmented Generation for Large Language Models: A Survey","created":"2023-12-18","cited_by_count":2212,"area":"lr"},{"id":"2410.10813","title":"LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory","created":"2024-10-14","cited_by_count":707,"area":null},{"id":"2405.14831","title":"HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models","created":"2024-05-23","cited_by_count":281,"area":"rag"},{"id":"2408.04187","title":"Medical Graph RAG: Towards Safe Medical Large Language Model via Graph Retrieval-Augmented Generation","created":"2024-08-08","cited_by_count":90,"area":"rag"},{"id":"2407.08223","title":"Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting","created":"2024-07-11","cited_by_count":77,"area":"rag"},{"id":"2403.03187","title":"Reliable, Adaptable, and Attributable Language Models with Retrieval","created":"2024-03-05","cited_by_count":73,"area":"rag"},{"id":"2409.04701","title":"Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models","created":"2024-09-07","cited_by_count":73,"area":null},{"id":"2409.13731","title":"KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation","created":"2024-09-10","cited_by_count":67,"area":"rag"},{"id":"2409.14924","title":"Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely","created":"2024-09-23","cited_by_count":66,"area":"rag"},{"id":"2502.01113","title":"GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation","created":"2025-02-03","cited_by_count":40,"area":"rag"},{"id":"2503.10677","title":"A Survey on Knowledge-Oriented Retrieval-Augmented Generation","created":"2025-03-11","cited_by_count":36,"area":"rag"},{"id":"2404.11672","title":"MemLLM: Finetuning LLMs to Use An Explicit Read-Write Memory","created":"2024-04-17","cited_by_count":35,"area":null},{"id":"2410.11163","title":"Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence","created":"2024-10-15","cited_by_count":27,"area":null},{"id":"2412.06206","title":"SiReRAG: Indexing Similar and Related Information for Multihop Reasoning","created":"2024-12-09","cited_by_count":23,"area":"lr"},{"id":"2504.18070","title":"PropRAG: Guiding Retrieval with Beam Search over Proposition Paths","created":"2025-04-25","cited_by_count":23,"area":"rag"},{"id":"2503.00353","title":"U-NIAH: Unified RAG and LLM Evaluation for Long Context Needle-In-A-Haystack","created":"2025-03-01","cited_by_count":20,"area":"rag"},{"id":"2504.20734","title":"UniversalRAG: Retrieval-Augmented Generation over Corpora of Diverse Modalities and Granularities","created":"2025-04-29","cited_by_count":20,"area":"rag"},{"id":"2501.11551","title":"PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented Generation","created":"2025-01-20","cited_by_count":18,"area":"rag"},{"id":"2410.12788","title":"Meta-Chunking: Learning Text Segmentation and Semantic Completion via Logical Perception","created":"2024-10-16","cited_by_count":17,"area":"rag"},{"id":"2501.14224","title":"Top Ten Challenges Towards Agentic Neural Graph Databases","created":"2025-01-24","cited_by_count":13,"area":"agents"},{"id":"2503.15231","title":"When LLMs Meet API Documentation: Can Retrieval Augmentation Aid Code Generation Just as It Helps Developers?","created":"2025-03-19","cited_by_count":13,"area":"rag"},{"id":"2405.02714","title":"Beyond Relevance: Evaluate and Improve Retrievers on Perspective Awareness","created":"2024-05-04","cited_by_count":12,"area":null},{"id":"2509.13772","title":"Who Taught the Lie? Responsibility Attribution for Poisoned Knowledge in Retrieval-Augmented Generation","created":"2025-09-17","cited_by_count":12,"area":"rag"},{"id":"2409.10277","title":"Cognitive Kernel: An Open-source Agent System towards Generalist Autopilots","created":"2024-09-16","cited_by_count":10,"area":"agents"},{"id":"2509.10697","title":"A Survey on Retrieval And Structuring Augmented Generation with Large Language Models","created":"2025-09-12","cited_by_count":8,"area":null},{"id":"2410.03780","title":"Reward-RAG: Enhancing RAG with Reward Driven Supervision","created":"2024-10-03","cited_by_count":7,"area":"rag"},{"id":"2501.02844","title":"GORAG: Graph-based Online Retrieval Augmented Generation for Dynamic Few-shot Social Media Text Classification","created":"2025-01-06","cited_by_count":7,"area":"rag"},{"id":"2506.08074","title":"Hierarchical Lexical Graph for Enhanced Multi-Hop Retrieval","created":"2025-06-09","cited_by_count":7,"area":"rag"},{"id":"2511.05549","title":"AGRAG: Advanced Graph-based Retrieval-Augmented Generation for LLMs","created":"2025-11-02","cited_by_count":7,"area":"lr"},{"id":"2603.23234","title":"MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation","created":"2026-03-24","cited_by_count":7,"area":"agents"},{"id":"2406.13372","title":"Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation","created":"2024-06-19","cited_by_count":6,"area":"rag"},{"id":"2501.09940","title":"Passage Segmentation of Documents for Extractive Question Answering","created":"2025-01-17","cited_by_count":6,"area":"rag"},{"id":"2505.02164","title":"Incorporating Legal Structure in Retrieval-Augmented Generation: A Case Study on Copyright Fair Use","created":"2025-05-04","cited_by_count":6,"area":"rag"},{"id":"2509.03536","title":"PG-Agent: An Agent Powered by Page Graph","created":"2025-08-27","cited_by_count":6,"area":"mllm"},{"id":"2410.15277","title":"BRIEF: Bridging Retrieval and Inference for Multi-hop Reasoning via Compression","created":"2024-10-20","cited_by_count":5,"area":"lr"},{"id":"2509.06602","title":"Demo: Healthcare Agent Orchestrator (HAO) for Patient Summarization in Molecular Tumor Boards","created":"2025-09-08","cited_by_count":5,"area":"agents"},{"id":"2604.05533","title":"Experience Transfer for Multimodal LLM Agents in Minecraft Game","created":"2026-04-07","cited_by_count":5,"area":"mllm"},{"id":"2505.18458","title":"A Survey of LLM $\\times$ DATA","created":"2025-05-24","cited_by_count":4,"area":"rag"},{"id":"2505.21471","title":"Scaling External Knowledge Input Beyond Context Windows of LLMs via Multi-Agent Collaboration","created":"2025-05-27","cited_by_count":4,"area":"agents"},{"id":"2601.20131","title":"Taxonomy of the Retrieval System Framework: Pitfalls and Paradigms","created":"2026-01-27","cited_by_count":4,"area":null},{"id":"2510.20609","title":"Practical Code RAG at Scale: Task-Aware Retrieval Design Choices under Compute Budgets","created":"2025-10-23","cited_by_count":3,"area":null},{"id":"2604.27852","title":"NeocorRAG: Less Irrelevant Information, More Explicit Evidence, and More Effective Recall via Evidence Chains","created":"2026-04-30","cited_by_count":3,"area":"rag"},{"id":"2605.21713","title":"Sem-Detect: Semantic Level Detection of AI Generated Peer-Reviews","created":"2026-05-20","cited_by_count":3,"area":null},{"id":"2608.02751","title":"Search, Inspect, Fetch: Exploiting Structure-Aware Boolean Retrieval for Deep-Search Agents","created":"2026-08-03","cited_by_count":3,"area":null},{"id":"2512.10422","title":"Cooperative Retrieval-Augmented Generation for Question Answering: Mutual Information Exchange and Ranking by Contrasting Layers","created":"2025-12-11","cited_by_count":2,"area":"rag"},{"id":"2603.07179","title":"Retrieving Minimal and Sufficient Reasoning Subgraphs with Graph Foundation Models for Path-aware GraphRAG","created":"2026-03-07","cited_by_count":2,"area":"rag"},{"id":"2606.16316","title":"RL-Index: Reinforcement Learning for Retrieval Index Reasoning","created":"2026-06-15","cited_by_count":2,"area":"lr"},{"id":"2504.12972","title":"Estimating Optimal Context Length for Hybrid Retrieval-augmented Multi-document Summarization","created":"2025-04-17","cited_by_count":1,"area":"lr"},{"id":"2508.07185","title":"DySK-Attn: A Framework for Efficient, Real-Time Knowledge Updating in Large Language Models via Dynamic Sparse Knowledge Attention","created":"2025-08-10","cited_by_count":1,"area":null},{"id":"2510.14252","title":"MoM: Mixtures of Scenario-Aware Document Memories for Retrieval-Augmented Generation Systems","created":"2025-10-16","cited_by_count":1,"area":"lr"},{"id":"2602.03432","title":"Failure is Feedback: History-Aware Backtracking for Agentic Traversal in Multimodal Graphs","created":"2026-02-03","cited_by_count":1,"area":"agents"},{"id":"2603.20673","title":"PAVE: Premise-Aware Validation and Editing for Retrieval-Augmented LLMs","created":"2026-03-21","cited_by_count":1,"area":"rag"},{"id":"2603.22633","title":"Graph-Aware Late Chunking for Retrieval-Augmented Generation in Biomedical Literature","created":"2026-03-23","cited_by_count":1,"area":"rag"},{"id":"2604.20849","title":"SPIRE: Structure-Preserving Interpretable Retrieval of Evidence","created":"2026-02-12","cited_by_count":1,"area":"rag"},{"id":"2604.27306","title":"NuggetIndex: Governed Atomic Retrieval for Maintainable RAG","created":"2026-04-30","cited_by_count":1,"area":"rag"},{"id":"2606.00881","title":"Chunking Methods on Retrieval-Augmented Generation - Effectiveness Evaluation Against Computational Cost and Limitations","created":"2026-05-30","cited_by_count":1,"area":"rag"},{"id":"2410.03754","title":"Enhancing Retrieval in QA Systems with Derived Feature Association","created":"2024-10-02","cited_by_count":0,"area":"rag"},{"id":"2504.16711","title":"A Unified Retrieval Framework with Document Ranking and EDU Filtering for Multi-document Summarization","created":"2025-04-23","cited_by_count":0,"area":null},{"id":"2505.21582","title":"AITEE -- Agentic Tutor for Electrical Engineering","created":"2025-05-27","cited_by_count":0,"area":"agents"},{"id":"2508.03438","title":"Data Overdose? Time for a Quadruple Shot: Knowledge Graph Construction using Enhanced Triple Extraction","created":"2025-08-05","cited_by_count":0,"area":null},{"id":"2508.14300","title":"MultiFuzz: A Dense Retrieval-based Multi-Agent System for Network Protocol Fuzzing","created":"2025-08-19","cited_by_count":0,"area":"agents"},{"id":"2510.21093","title":"MedAlign: A Synergistic Framework of Multimodal Preference Optimization and Federated Meta-Cognitive Reasoning","created":"2025-10-24","cited_by_count":0,"area":"lr"},{"id":"2601.04859","title":"A Navigational Approach for Comprehensive RAG via Traversal over Proposition Graphs","created":"2026-01-08","cited_by_count":0,"area":"rag"},{"id":"2602.22215","title":"Graph Your Way to Inspiration: Integrating Co-Author Graphs with Retrieval-Augmented Generation for Large Language Model Based Scientific Idea Generation","created":"2025-12-05","cited_by_count":0,"area":"rag"},{"id":"2603.18409","title":"TopoChunker: Topology-Aware Agentic Document Chunking Framework","created":"2026-03-19","cited_by_count":0,"area":"rag"},{"id":"2603.23533","title":"MDKeyChunker: Single-Call LLM Enrichment with Rolling Keys and Key-Based Restructuring for High-Accuracy RAG","created":"2026-03-08","cited_by_count":0,"area":"rag"},{"id":"2603.26667","title":"M-RAG: Semantic Key-Value Indexing for Retrieval-Augmented Generation","created":"2026-01-06","cited_by_count":0,"area":"rag"},{"id":"2604.20844","title":"AtomicRAG: Atom-Entity Graphs for Retrieval-Augmented Generation","created":"2026-02-10","cited_by_count":0,"area":"rag"},{"id":"2605.00529","title":"Hierarchical Abstract Tree for Cross-Document Retrieval-Augmented Generation","created":"2026-05-01","cited_by_count":0,"area":"rag"},{"id":"2605.16598","title":"GRASP: Graph Agentic Search over Propositions for Multi-hop Question Answering","created":"2026-05-15","cited_by_count":0,"area":"agents"},{"id":"2605.17902","title":"LAST-RAG: Literature-Anchored Stochastic Trajectory Retrieval-Augmented Generation for Knowledge-Conditioned Degradation Model Selection","created":"2026-05-18","cited_by_count":0,"area":null},{"id":"2605.19806","title":"Chunking German Legal Code","created":"2026-05-19","cited_by_count":0,"area":"rag"},{"id":"2605.26256","title":"Personalizing Embodied Multimodal Large Language Model Agents over Long-term User Interactions","created":"2026-05-25","cited_by_count":0,"area":"mllm"},{"id":"2606.00822","title":"SkillPager: Query-Adaptive Intra-Skill Navigation via Semantic Node Retrieval","created":"2026-05-30","cited_by_count":0,"area":"agents"},{"id":"2606.02737","title":"Attention Calibration for Position-Fair Dense Retrieval","created":"2026-06-01","cited_by_count":0,"area":null},{"id":"2606.18520","title":"Compact Geometric Representations of Hierarchies","created":"2026-06-16","cited_by_count":0,"area":null},{"id":"2607.16564","title":"ReqGenX: An Empirical Study of Atomic Decomposition, Artifact Regeneration, and Reconstruction for Legacy SRS Documents","created":"2026-07-18","cited_by_count":0,"area":null},{"id":"2607.18603","title":"AutoIndex: Learning Representation Programs for Retrieval","created":"2026-07-21","cited_by_count":0,"area":null},{"id":"2608.13006","title":"EviReform: Evidence-Guided Query Reformulation for Multi-Hop Graph Retrieval","created":"2026-08-13","cited_by_count":0,"area":null},{"id":"2608.14587","title":"An Agentic Framework Using Rules and LLMs for Embedding and Annotating Descriptive Document Layouts: A Plant Science Use Case","created":"2026-06-19","cited_by_count":0,"area":"agents"},{"id":"2608.14838","title":"The Recall Trap: A Recall-Maximizing Retriever Configuration Reduces Issue Resolution in Fixed-Budget Code Context","created":"2026-08-14","cited_by_count":0,"area":null},{"id":"2608.20097","title":"TrustRAG: Blockchain-Enhanced RAG via Committee-Based Credibility Scoring","created":"2026-08-20","cited_by_count":0,"area":"rag"},{"id":"2608.20845","title":"RAG Deserves an Index: Why Ingest-Time Compilation Beats Query-Time Interpretation","created":"2026-08-21","cited_by_count":0,"area":"rag"},{"id":"2608.26836","title":"SymbolLKG: Towards Verifiable Logical Reasoning via Logical Knowledge Graph and Symbolic Solvers","created":"2026-08-27","cited_by_count":0,"area":"lr"},{"id":"2608.31139","title":"Configurable Semantic Chunking for Biomedical Information Extraction in Retrieval-Augmented Generation","created":"2026-08-31","cited_by_count":0,"area":"rag"},{"id":"2609.19656","title":"Self-Evolving Search Index","created":"2026-09-17","cited_by_count":0,"area":"agents"},{"id":"2609.29661","title":"Ingest-Time Fact Compilation for Cost-Efficient and Reliable Question Answering over Revised Corpora","created":"2026-08-29","cited_by_count":0,"area":"agents"},{"id":"2609.37443","title":"Learning to Retrieve Missing Evidence for Long-Term Memory QA","created":"2026-09-29","cited_by_count":0,"area":null}],"next_cursor":null}