{"total":145,"rows":[{"id":"2311.05232","title":"A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions","created":"2023-11-09","cited_by_count":1601,"area":null},{"id":"2305.14627","title":"Enabling Large Language Models to Generate Text with Citations","created":"2023-05-24","cited_by_count":595,"area":null},{"id":"2302.07842","title":"Augmented Language Models: a Survey","created":"2023-02-15","cited_by_count":403,"area":"lr"},{"id":"2302.12813","title":"Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback","created":"2023-02-24","cited_by_count":353,"area":null},{"id":"2308.07107","title":"Large Language Models for Information Retrieval: A Survey","created":"2023-08-14","cited_by_count":331,"area":null},{"id":"2310.01061","title":"Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning","created":"2023-10-02","cited_by_count":328,"area":"lr"},{"id":"2309.01431","title":"Benchmarking Large Language Models in Retrieval-Augmented Generation","created":"2023-09-04","cited_by_count":312,"area":"rag"},{"id":"2308.03188","title":"Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies","created":"2023-08-06","cited_by_count":238,"area":"lr"},{"id":"2310.07521","title":"Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity","created":"2023-10-11","cited_by_count":206,"area":null},{"id":"2309.15402","title":"Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future","created":"2023-09-27","cited_by_count":184,"area":"lr"},{"id":"2305.18703","title":"Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey","created":"2023-05-30","cited_by_count":135,"area":null},{"id":"2402.10978","title":"Language Models with Conformal Factuality Guarantees","created":"2024-02-15","cited_by_count":131,"area":null},{"id":"2304.11633","title":"Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness","created":"2023-04-23","cited_by_count":130,"area":null},{"id":"2308.13259","title":"Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering","created":"2023-08-25","cited_by_count":97,"area":"lr"},{"id":"2309.07852","title":"ExpertQA: Expert-Curated Questions and Attributed Answers","created":"2023-09-14","cited_by_count":97,"area":null},{"id":"2311.07914","title":"Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Survey","created":"2023-11-14","cited_by_count":92,"area":null},{"id":"2304.13007","title":"Answering Questions by Meta-Reasoning over Multiple Chains of Thought","created":"2023-04-25","cited_by_count":87,"area":"lr"},{"id":"2305.14002","title":"Improving Language Models via Plug-and-Play Retrieval Feedback","created":"2023-05-23","cited_by_count":87,"area":"alignment"},{"id":"2303.10868","title":"Retrieving Multimodal Information for Augmented Generation: A Survey","created":"2023-03-20","cited_by_count":85,"area":null},{"id":"2309.06794","title":"Cognitive Mirage: A Review of Hallucinations in Large Language Models","created":"2023-09-13","cited_by_count":84,"area":null},{"id":"2306.06427","title":"Boosting Language Models Reasoning with Chain-of-Knowledge Prompting","created":"2023-06-10","cited_by_count":77,"area":"lr"},{"id":"2305.17331","title":"Augmentation-Adapted Retriever Improves Generalization of Language Models as Generic Plug-In","created":"2023-05-27","cited_by_count":71,"area":null},{"id":"2311.03731","title":"A Survey of Large Language Models Attribution","created":"2023-11-07","cited_by_count":71,"area":null},{"id":"2310.00280","title":"Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration","created":"2023-09-30","cited_by_count":70,"area":"lr"},{"id":"2310.05002","title":"Self-Knowledge Guided Retrieval Augmentation for Large Language Models","created":"2023-10-08","cited_by_count":69,"area":null},{"id":"2402.01822","title":"Building Guardrails for Large Language Models","created":"2024-02-02","cited_by_count":65,"area":"safety"},{"id":"2305.14800","title":"Exploring Diverse In-Context Configurations for Image Captioning","created":"2023-05-24","cited_by_count":63,"area":null},{"id":"2310.04959","title":"Towards Better Chain-of-Thought Prompting Strategies: A Survey","created":"2023-10-08","cited_by_count":62,"area":"lr"},{"id":"2305.14908","title":"PURR: Efficiently Editing Language Model Hallucinations by Denoising Language Model Corruptions","created":"2023-05-24","cited_by_count":53,"area":null},{"id":"2401.17043","title":"CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models","created":"2024-01-30","cited_by_count":50,"area":"rag"},{"id":"2410.18050","title":"LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering","created":"2024-10-23","cited_by_count":49,"area":"rag"},{"id":"2401.04536","title":"Evaluating Language Model Agency through Negotiations","created":"2024-01-09","cited_by_count":48,"area":null},{"id":"2310.09044","title":"KCTS: Knowledge-Constrained Tree Search Decoding with Token-Level Hallucination Detection","created":"2023-10-13","cited_by_count":45,"area":null},{"id":"2311.09533","title":"Effective Large Language Model Adaptation for Improved Grounding and Citation Generation","created":"2023-11-16","cited_by_count":45,"area":null},{"id":"2406.20079","title":"Molecular Facts: Desiderata for Decontextualization in LLM Fact Verification","created":"2024-06-28","cited_by_count":44,"area":null},{"id":"2305.13252","title":"\"According to ...\": Prompting Language Models Improves Quoting from Pre-Training Data","created":"2023-05-22","cited_by_count":42,"area":null},{"id":"2305.17812","title":"Tab-CoT: Zero-shot Tabular Chain of Thought","created":"2023-05-28","cited_by_count":42,"area":"lr"},{"id":"2402.04315","title":"Training Language Models to Generate Text with Citations via Fine-grained Rewards","created":"2024-02-06","cited_by_count":42,"area":null},{"id":"2311.07954","title":"A Closer Look at the Self-Verification Abilities of Large Language Models in Logical Reasoning","created":"2023-11-14","cited_by_count":41,"area":"lr"},{"id":"2405.13873","title":"FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question Answering","created":"2024-05-22","cited_by_count":39,"area":"lr"},{"id":"2309.06275","title":"Re-Reading Improves Reasoning in Large Language Models","created":"2023-09-12","cited_by_count":37,"area":"lr"},{"id":"2402.12052","title":"Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When and What to Retrieve for LLMs","created":"2024-02-19","cited_by_count":34,"area":null},{"id":"2308.08090","title":"Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation","created":"2023-08-16","cited_by_count":33,"area":"safety"},{"id":"2310.07343","title":"How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances","created":"2023-10-11","cited_by_count":33,"area":null},{"id":"2410.23000","title":"Long$^2$RAG: Evaluating Long-Context & Long-Form Retrieval-Augmented Generation with Key Point Recall","created":"2024-10-30","cited_by_count":32,"area":"rag"},{"id":"2404.01019","title":"Source-Aware Training Enables Knowledge Attribution in Language Models","created":"2024-04-01","cited_by_count":30,"area":null},{"id":"2307.09751","title":"Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community","created":"2023-07-19","cited_by_count":29,"area":null},{"id":"2402.11863","title":"How Interpretable are Reasoning Explanations from Prompting Large Language Models?","created":"2024-02-19","cited_by_count":29,"area":"lr"},{"id":"2311.05876","title":"Trends in Integration of Knowledge and Large Language Models: A Survey and Taxonomy of Methods, Benchmarks, and Applications","created":"2023-11-10","cited_by_count":28,"area":null},{"id":"2312.05562","title":"Chain-of-Thought in Neural Code Generation: From and For Lightweight Language Models","created":"2023-12-09","cited_by_count":27,"area":"lr"},{"id":"2312.11336","title":"DRDT: Dynamic Reflection with Divergent Thinking for LLM-based Sequential Recommendation","created":"2023-12-18","cited_by_count":27,"area":"lr"},{"id":"2304.14233","title":"Large Language Models are Strong Zero-Shot Retriever","created":"2023-04-27","cited_by_count":26,"area":null},{"id":"2309.08541","title":"When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets","created":"2023-09-15","cited_by_count":26,"area":null},{"id":"2312.04854","title":"Learning to Break: Knowledge-Enhanced Reasoning in Multi-Agent Debate System","created":"2023-12-08","cited_by_count":26,"area":"lr"},{"id":"2312.17257","title":"Personalized Large Language Model Assistant with Evolving Conditional Memory","created":"2023-12-22","cited_by_count":25,"area":null},{"id":"2402.14361","title":"OpenTab: Advancing Large Language Models as Open-domain Table Reasoners","created":"2024-02-22","cited_by_count":25,"area":"lr"},{"id":"2404.19543","title":"RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing","created":"2024-04-30","cited_by_count":25,"area":"rag"},{"id":"2312.07622","title":"Mathematical Language Models: A Survey","created":"2023-12-12","cited_by_count":24,"area":null},{"id":"2406.00215","title":"HumanEvalComm: Benchmarking the Communication Competence of Code Generation for LLMs and LLM Agent","created":"2024-05-31","cited_by_count":24,"area":"agents"},{"id":"2410.08085","title":"Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question Answering","created":"2024-10-10","cited_by_count":24,"area":"lr"},{"id":"2407.15248","title":"XAI meets LLMs: A Survey of the Relation between Explainable AI and Large Language Models","created":"2024-07-21","cited_by_count":23,"area":null},{"id":"2404.09554","title":"Explainable Generative AI (GenXAI): A Survey, Conceptualization, and Research Agenda","created":"2024-04-15","cited_by_count":22,"area":null},{"id":"2408.03297","title":"KnowPO: Knowledge-aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models","created":"2024-08-06","cited_by_count":20,"area":"rag"},{"id":"2503.09600","title":"MoC: Mixtures of Text Chunking Learners for Retrieval-Augmented Generation System","created":"2025-03-12","cited_by_count":19,"area":"rag"},{"id":"2311.14740","title":"AutoKG: Efficient Automated Knowledge Graph Generation for Language Models","created":"2023-11-22","cited_by_count":17,"area":null},{"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":"2410.23214","title":"Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval","created":"2024-10-30","cited_by_count":17,"area":null},{"id":"2402.11034","title":"PAT-Questions: A Self-Updating Benchmark for Present-Anchored Temporal Question-Answering","created":"2024-02-16","cited_by_count":15,"area":null},{"id":"2406.12255","title":"A Hopfieldian View-based Interpretation for Chain-of-Thought Reasoning","created":"2024-06-18","cited_by_count":15,"area":"lr"},{"id":"2406.14979","title":"Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation","created":"2024-06-21","cited_by_count":15,"area":null},{"id":"2505.15872","title":"InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation","created":"2025-05-21","cited_by_count":15,"area":"rag"},{"id":"2311.09069","title":"How Well Do Large Language Models Truly Ground?","created":"2023-11-15","cited_by_count":14,"area":null},{"id":"2312.11361","title":"\"Knowing When You Don't Know\": A Multilingual Relevance Assessment Dataset for Robust Retrieval-Augmented Generation","created":"2023-12-18","cited_by_count":13,"area":"rag"},{"id":"2310.01446","title":"Adaptive-Solver Framework for Dynamic Strategy Selection in Large Language Model Reasoning","created":"2023-10-01","cited_by_count":12,"area":"lr"},{"id":"2503.17726","title":"A Survey on Mathematical Reasoning and Optimization with Large Language Models","created":"2025-03-22","cited_by_count":12,"area":"lr"},{"id":"2505.18710","title":"GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis","created":"2025-05-24","cited_by_count":12,"area":"rag"},{"id":"2509.11552","title":"HiChunk: Evaluating and Enhancing Retrieval-Augmented Generation with Hierarchical Chunking","created":"2025-09-15","cited_by_count":12,"area":"rag"},{"id":"2402.18344","title":"Focus on Your Question! Interpreting and Mitigating Toxic CoT Problems in Commonsense Reasoning","created":"2024-02-28","cited_by_count":11,"area":"lr"},{"id":"2406.05365","title":"CaLM: Contrasting Large and Small Language Models to Verify Grounded Generation","created":"2024-06-08","cited_by_count":11,"area":null},{"id":"2305.14625","title":"KNN-LM Does Not Improve Open-ended Text Generation","created":"2023-05-24","cited_by_count":10,"area":"rag"},{"id":"2309.06384","title":"Towards Reliable and Fluent Large Language Models: Incorporating Feedback Learning Loops in QA Systems","created":"2023-09-08","cited_by_count":10,"area":null},{"id":"2402.14310","title":"Hint-before-Solving Prompting: Guiding LLMs to Effectively Utilize Encoded Knowledge","created":"2024-02-22","cited_by_count":10,"area":null},{"id":"2407.08662","title":"Uncertainty Estimation of Large Language Models in Medical Question Answering","created":"2024-07-11","cited_by_count":10,"area":null},{"id":"2412.05829","title":"SABER: Model-agnostic Backdoor Attack on Chain-of-Thought in Neural Code Generation","created":"2024-12-08","cited_by_count":10,"area":"lr"},{"id":"2403.12077","title":"Evaluating Robustness of Generative Search Engine on Adversarial Factual Questions","created":"2024-02-25","cited_by_count":9,"area":"rag"},{"id":"2405.06258","title":"Automatic Generation of Model and Data Cards: A Step Towards Responsible AI","created":"2024-05-10","cited_by_count":9,"area":null},{"id":"2405.19010","title":"Evaluating the External and Parametric Knowledge Fusion of Large Language Models","created":"2024-05-29","cited_by_count":9,"area":null},{"id":"2503.04790","title":"SuperRAG: Beyond RAG with Layout-Aware Graph Modeling","created":"2025-02-28","cited_by_count":9,"area":"rag"},{"id":"2404.05783","title":"A Survey on Responsible Generative AI: What to Generate and What Not","created":"2024-04-08","cited_by_count":8,"area":null},{"id":"2410.08821","title":"DeepNote: Note-Centric Deep Retrieval-Augmented Generation","created":"2024-10-11","cited_by_count":8,"area":"rag"},{"id":"2412.13791","title":"Physics Reasoner: Knowledge-Augmented Reasoning for Solving Physics Problems with Large Language Models","created":"2024-12-18","cited_by_count":8,"area":"lr"},{"id":"2504.19101","title":"Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation","created":"2025-04-27","cited_by_count":8,"area":"rag"},{"id":"2505.23052","title":"RAGRouter: Learning to Route Queries to Multiple Retrieval-Augmented Language Models","created":"2025-05-29","cited_by_count":8,"area":"rag"},{"id":"2508.19999","title":"Linear-Time Demonstration Selection for In-Context Learning via Gradient Estimation","created":"2025-08-27","cited_by_count":8,"area":null},{"id":"2306.16004","title":"Query Understanding in the Age of Large Language Models","created":"2023-06-28","cited_by_count":7,"area":null},{"id":"2311.01786","title":"TCM-GPT: Efficient Pre-training of Large Language Models for Domain Adaptation in Traditional Chinese Medicine","created":"2023-11-03","cited_by_count":7,"area":null},{"id":"2409.14556","title":"RACOON: An LLM-based Framework for Retrieval-Augmented Column Type Annotation with a Knowledge Graph","created":"2024-09-22","cited_by_count":7,"area":"rag"},{"id":"2412.20995","title":"KARPA: A Training-free Method of Adapting Knowledge Graph as References for Large Language Model's Reasoning Path Aggregation","created":"2024-12-30","cited_by_count":7,"area":"lr"},{"id":"2310.10062","title":"A Comprehensive Evaluation of Tool-Assisted Generation Strategies","created":"2023-10-16","cited_by_count":6,"area":null},{"id":"2401.13849","title":"TPD: Enhancing Student Language Model Reasoning via Principle Discovery and Guidance","created":"2024-01-24","cited_by_count":6,"area":"lr"}],"next_cursor":"100"}