{"total":30,"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":"2405.20978","title":"Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training","created":"2024-05-31","cited_by_count":89,"area":"lr"},{"id":"2407.10805","title":"Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation","created":"2024-07-15","cited_by_count":64,"area":"lr"},{"id":"2404.15676","title":"Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs","created":"2024-04-24","cited_by_count":48,"area":"lr"},{"id":"2507.09477","title":"Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs","created":"2025-07-13","cited_by_count":42,"area":"lr"},{"id":"2407.19813","title":"Improving Retrieval Augmented Language Model with Self-Reasoning","created":"2024-07-29","cited_by_count":28,"area":"lr"},{"id":"2408.03246","title":"Making Long-Context Language Models Better Multi-Hop Reasoners","created":"2024-08-06","cited_by_count":26,"area":"lr"},{"id":"2504.04915","title":"Collab-RAG: Boosting Retrieval-Augmented Generation for Complex Question Answering via White-Box and Black-Box LLM Collaboration","created":"2025-04-07","cited_by_count":20,"area":"lr"},{"id":"2405.20834","title":"Retrieval Meets Reasoning: Even High-school Textbook Knowledge Benefits Multimodal Reasoning","created":"2024-05-31","cited_by_count":14,"area":"lr"},{"id":"2502.02390","title":"CoAT: Chain-of-Associated-Thoughts Framework for Enhancing Large Language Models Reasoning","created":"2025-02-04","cited_by_count":12,"area":"lr"},{"id":"2509.21193","title":"Eigen-1: Adaptive Multi-Agent Refinement with Monitor-Based RAG for Scientific Reasoning","created":"2025-09-25","cited_by_count":11,"area":"lr"},{"id":"2508.00669","title":"Medical Reasoning in the Era of LLMs: A Systematic Review of Enhancement Techniques and Applications","created":"2025-08-01","cited_by_count":10,"area":"lr"},{"id":"2402.13547","title":"ThinkNote: Enhancing Knowledge Integration and Utilization of Large Language Models via Constructivist Cognition Modeling","created":"2024-02-21","cited_by_count":8,"area":"lr"},{"id":"2401.05787","title":"Chain of Evidences and Evidence to Generate: Prompting for Context Grounded and Retrieval Augmented Reasoning","created":"2024-01-11","cited_by_count":7,"area":"lr"},{"id":"2410.07103","title":"Unleashing Multi-Hop Reasoning Potential in Large Language Models through Repetition of Misordered Context","created":"2024-10-09","cited_by_count":6,"area":"lr"},{"id":"2402.07812","title":"Retrieval Augmented Thought Process for Private Data Handling in Healthcare","created":"2024-02-12","cited_by_count":5,"area":"lr"},{"id":"2412.00846","title":"Improving Multimodal LLMs Ability In Geometry Problem Solving, Reasoning, And Multistep Scoring","created":"2024-12-01","cited_by_count":5,"area":"lr"},{"id":"2503.09819","title":"Attention Reveals More Than Tokens: Training-Free Long-Context Reasoning with Attention-guided Retrieval","created":"2025-03-12","cited_by_count":5,"area":"lr"},{"id":"2512.17911","title":"Towards Reasoning-Preserving Unlearning in Multimodal Large Language Models","created":"2025-11-26","cited_by_count":4,"area":"lr"},{"id":"2501.05475","title":"Retrieval-Augmented Generation by Evidence Retroactivity in LLMs","created":"2025-01-07","cited_by_count":3,"area":"lr"},{"id":"2601.12499","title":"Failure Modes in Multi-Hop QA: The Weakest Link Effect and the Recognition Bottleneck","created":"2026-01-18","cited_by_count":3,"area":"lr"},{"id":"2509.00276","title":"Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval","created":"2025-08-29","cited_by_count":2,"area":"lr"},{"id":"2509.14435","title":"Causal-Counterfactual RAG: The Integration of Causal-Counterfactual Reasoning into RAG","created":"2025-09-17","cited_by_count":2,"area":"lr"},{"id":"2510.00078","title":"Adaptive and Resource-efficient Agentic AI Systems for Mobile and Embedded Devices: A Survey","created":"2025-09-30","cited_by_count":2,"area":"lr"},{"id":"2505.24388","title":"ClueAnchor: Clue-Anchored Knowledge Reasoning Exploration and Optimization for Retrieval-Augmented Generation","created":"2025-05-30","cited_by_count":1,"area":"lr"},{"id":"2510.07923","title":"STEPER: Step-wise Knowledge Distillation for Enhancing Reasoning Ability in Multi-Step Retrieval-Augmented Language Models","created":"2025-10-09","cited_by_count":1,"area":"lr"},{"id":"2505.16293","title":"Augmenting LLM Reasoning with Dynamic Notes Writing for Complex QA","created":"2025-05-22","cited_by_count":0,"area":"lr"},{"id":"2604.22282","title":"STEM: Structure-Tracing Evidence Mining for Knowledge Graphs-Driven Retrieval-Augmented Generation","created":"2026-04-24","cited_by_count":0,"area":"lr"},{"id":"2605.28828","title":"Micro-Macro Retrieval: Reducing Long-Form Hallucination in Large Language Models","created":"2026-04-10","cited_by_count":0,"area":"lr"},{"id":"2610.19663","title":"Learning When to Trust Medical Knowledge: Regression-Safe Routing for Clinical Reasoning","created":"2026-10-14","cited_by_count":0,"area":"lr"}],"next_cursor":null}