{"total":101,"rows":[{"id":"2406.00515","title":"A Survey on Large Language Models for Code Generation","created":"2024-06-01","cited_by_count":658,"area":null},{"id":"2401.01286","title":"A Comprehensive Study of Knowledge Editing for Large Language Models","created":"2024-01-02","cited_by_count":163,"area":null},{"id":"2404.14851","title":"From Matching to Generation: A Survey on Generative Information Retrieval","created":"2024-04-23","cited_by_count":89,"area":null},{"id":"2409.07431","title":"Synthetic continued pretraining","created":"2024-09-11","cited_by_count":60,"area":null},{"id":"2402.12847","title":"Instruction-tuned Language Models are Better Knowledge Learners","created":"2024-02-20","cited_by_count":55,"area":null},{"id":"2402.05391","title":"Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey","created":"2024-02-08","cited_by_count":53,"area":null},{"id":"2407.15017","title":"Knowledge Mechanisms in Large Language Models: A Survey and Perspective","created":"2024-07-22","cited_by_count":51,"area":null},{"id":"2405.04819","title":"DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature","created":"2024-05-08","cited_by_count":50,"area":null},{"id":"2401.11504","title":"With Greater Text Comes Greater Necessity: Inference-Time Training Helps Long Text Generation","created":"2024-01-21","cited_by_count":37,"area":null},{"id":"2503.21676","title":"How do language models learn facts? Dynamics, curricula and hallucinations","created":"2025-03-27","cited_by_count":37,"area":null},{"id":"2405.13003","title":"A Survey on Recent Advances in Conversational Data Generation","created":"2024-05-12","cited_by_count":23,"area":null},{"id":"2502.11196","title":"How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training","created":"2025-02-16","cited_by_count":23,"area":null},{"id":"2411.13405","title":"On the Way to LLM Personalization: Learning to Remember User Conversations","created":"2024-11-20","cited_by_count":21,"area":null},{"id":"2404.00216","title":"Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness","created":"2024-03-30","cited_by_count":17,"area":null},{"id":"2406.06326","title":"Self-Tuning: Instructing LLMs to Effectively Acquire New Knowledge through Self-Teaching","created":"2024-06-10","cited_by_count":17,"area":null},{"id":"2405.06545","title":"Mitigating Hallucinations in Large Language Models via Self-Refinement-Enhanced Knowledge Retrieval","created":"2024-05-10","cited_by_count":16,"area":null},{"id":"2508.09494","title":"Learning Facts at Scale with Active Reading","created":"2025-08-13","cited_by_count":13,"area":null},{"id":"2411.05059","title":"FineTuneBench: How well do commercial fine-tuning APIs infuse knowledge into LLMs?","created":"2024-11-07","cited_by_count":12,"area":null},{"id":"2504.05571","title":"Knowledge-Instruct: Effective Continual Pre-training from Limited Data using Instructions","created":"2025-04-08","cited_by_count":12,"area":null},{"id":"2505.15962","title":"Pre-training Limited Memory Language Models with Internal and External Knowledge","created":"2025-05-21","cited_by_count":12,"area":null},{"id":"2401.02575","title":"Large Language Models for Social Networks: Applications, Challenges, and Solutions","created":"2024-01-04","cited_by_count":11,"area":null},{"id":"2410.20783","title":"Graph-based Uncertainty Metrics for Long-form Language Model Outputs","created":"2024-10-28","cited_by_count":11,"area":null},{"id":"2405.00715","title":"Towards Adapting Open-Source Large Language Models for Expert-Level Clinical Note Generation","created":"2024-04-25","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":"2403.07805","title":"Beyond Memorization: The Challenge of Random Memory Access in Language Models","created":"2024-03-12","cited_by_count":8,"area":null},{"id":"2504.09522","title":"How new data permeates LLM knowledge and how to dilute it","created":"2025-04-13","cited_by_count":8,"area":null},{"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":"2403.08607","title":"MedInsight: A Multi-Source Context Augmentation Framework for Generating Patient-Centric Medical Responses using Large Language Models","created":"2024-03-13","cited_by_count":7,"area":null},{"id":"2404.12041","title":"A Survey of Automatic Hallucination Evaluation on Natural Language Generation","created":"2024-04-18","cited_by_count":7,"area":null},{"id":"2505.12306","title":"Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection","created":"2025-05-18","cited_by_count":7,"area":null},{"id":"2505.14212","title":"Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks","created":"2025-05-20","cited_by_count":7,"area":null},{"id":"2401.15378","title":"Improving LLM Reliability with RAG in Religious Question-Answering: MufassirQAS","created":"2024-01-27","cited_by_count":6,"area":null},{"id":"2404.15488","title":"IryoNLP at MEDIQA-CORR 2024: Tackling the Medical Error Detection & Correction Task On the Shoulders of Medical Agents","created":"2024-04-23","cited_by_count":6,"area":null},{"id":"2404.18311","title":"Towards Incremental Learning in Large Language Models: A Critical Review","created":"2024-04-28","cited_by_count":6,"area":null},{"id":"2407.16724","title":"Structure-aware Domain Knowledge Injection for Large Language Models","created":"2024-07-23","cited_by_count":6,"area":null},{"id":"2411.07688","title":"ImageRAG: Enhancing Ultra High Resolution Remote Sensing Imagery Analysis with ImageRAG","created":"2024-11-12","cited_by_count":6,"area":null},{"id":"2409.00112","title":"Toward Large Language Models as a Therapeutic Tool: Comparing Prompting Techniques to Improve GPT-Delivered Problem-Solving Therapy","created":"2024-08-27","cited_by_count":5,"area":null},{"id":"2411.01195","title":"Transfer Learning for Finetuning Large Language Models","created":"2024-11-02","cited_by_count":5,"area":null},{"id":"2411.07965","title":"SHARP: Unlocking Interactive Hallucination via Stance Transfer in Role-Playing LLMs","created":"2024-11-12","cited_by_count":5,"area":null},{"id":"2412.01233","title":"Best Practices for Large Language Models in Radiology","created":"2024-12-02","cited_by_count":5,"area":null},{"id":"2504.00241","title":"Synthesizing Public Opinions with LLMs: Role Creation, Impacts, and the Future to eDemorcacy","created":"2025-03-31","cited_by_count":5,"area":null},{"id":"2504.16273","title":"From Promising Capability to Pervasive Bias: Assessing Large Language Models for Emergency Department Triage","created":"2025-04-22","cited_by_count":5,"area":null},{"id":"2507.21914","title":"Rote Learning Considered Useful: Generalizing over Memorized Data in LLMs","created":"2025-07-29","cited_by_count":5,"area":null},{"id":"2410.01946","title":"SciPrompt: Knowledge-augmented Prompting for Fine-grained Categorization of Scientific Topics","created":"2024-10-02","cited_by_count":4,"area":null},{"id":"2505.24302","title":"ScienceMeter: Tracking Scientific Knowledge Updates in Language Models","created":"2025-05-30","cited_by_count":4,"area":null},{"id":"2605.15156","title":"MeMo: Memory as a Model","created":"2026-05-14","cited_by_count":4,"area":null},{"id":"2405.18292","title":"Semantic are Beacons: A Semantic Perspective for Unveiling Parameter-Efficient Fine-Tuning in Knowledge Learning","created":"2024-05-28","cited_by_count":3,"area":null},{"id":"2406.11439","title":"GPT-Powered Elicitation Interview Script Generator for Requirements Engineering Training","created":"2024-06-17","cited_by_count":3,"area":null},{"id":"2407.09512","title":"Design and evaluation of AI copilots -- case studies of retail copilot templates","created":"2024-06-17","cited_by_count":3,"area":null},{"id":"2410.09629","title":"Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models","created":"2024-10-12","cited_by_count":3,"area":null},{"id":"2411.00686","title":"Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Models","created":"2024-11-01","cited_by_count":3,"area":null},{"id":"2412.03610","title":"The Use of Artificial Intelligence in Military Intelligence: An Experimental Investigation of Added Value in the Analysis Process","created":"2024-12-04","cited_by_count":3,"area":null},{"id":"2503.08963","title":"Gradient-guided Attention Map Editing: Towards Efficient Contextual Hallucination Mitigation","created":"2025-03-11","cited_by_count":3,"area":null},{"id":"2504.21239","title":"Memorization and Knowledge Injection in Gated LLMs","created":"2025-04-30","cited_by_count":3,"area":null},{"id":"2508.15213","title":"Select to Know: An Internal-External Knowledge Self-Selection Framework for Domain-Specific Question Answering","created":"2025-08-21","cited_by_count":3,"area":null},{"id":"2511.12116","title":"LLMLagBench: Identifying Temporal Training Boundaries in Large Language Models","created":"2025-11-15","cited_by_count":3,"area":null},{"id":"2602.12996","title":"Know More, Know Clearer: A Meta-Cognitive Framework for Knowledge Augmentation in Large Language Models","created":"2026-02-13","cited_by_count":3,"area":null},{"id":"2605.09778","title":"Nectar: Neural Estimation of Cached-Token Attention via Regression","created":"2026-05-10","cited_by_count":3,"area":null},{"id":"2408.11431","title":"Diagnosing and Remedying Knowledge Deficiencies in LLMs via Label-free Curricular Meaningful Learning","created":"2024-08-21","cited_by_count":2,"area":null},{"id":"2503.03705","title":"Enhancing LLM Knowledge Learning through Generalization","created":"2025-03-05","cited_by_count":2,"area":null},{"id":"2504.08300","title":"Large Language Models Could Be Rote Learners","created":"2025-04-11","cited_by_count":2,"area":null},{"id":"2505.17140","title":"Data Doping or True Intelligence? Evaluating the Transferability of Injected Knowledge in LLMs","created":"2025-05-22","cited_by_count":2,"area":null},{"id":"2508.06178","title":"Comparing Knowledge Injection Methods for LLMs in a Low-Resource Regime","created":"2025-08-08","cited_by_count":2,"area":null},{"id":"2510.09885","title":"Diffusion-Inspired Masked Fine-Tuning for Knowledge Injection in Autoregressive LLMs","created":"2025-10-10","cited_by_count":2,"area":null},{"id":"2604.04815","title":"LiveFact: A Dynamic, Time-Aware Benchmark for LLM-Driven Fake News Detection","created":"2026-04-06","cited_by_count":2,"area":null},{"id":"2606.04127","title":"When Retrieval Doesn't Help: A Large-Scale Study of Biomedical RAG","created":"2026-06-02","cited_by_count":2,"area":null},{"id":"2607.19604","title":"Scaling Laws for Hypernetwork-Based Knowledge Injection in Large Language Models","created":"2026-07-21","cited_by_count":2,"area":null},{"id":"2406.19271","title":"AutoPureData: Automated Filtering of Undesirable Web Data to Update LLM Knowledge","created":"2024-06-27","cited_by_count":1,"area":null},{"id":"2504.15637","title":"DR.FIX: Automatically Fixing Data Races at Industry Scale","created":"2025-04-22","cited_by_count":1,"area":null},{"id":"2508.03342","title":"From Legacy to Standard: LLM-Assisted Transformation of Cybersecurity Playbooks into CACAO Format","created":"2025-08-05","cited_by_count":1,"area":null},{"id":"2509.20162","title":"Embedding Domain Knowledge for Large Language Models via Reinforcement Learning from Augmented Generation","created":"2025-09-24","cited_by_count":1,"area":null},{"id":"2510.19036","title":"From Memorization to Generalization: Fine-Tuning Large Language Models for Biomedical Term-to-Identifier Normalization","created":"2025-10-21","cited_by_count":1,"area":null},{"id":"2510.20975","title":"REx86: A Local Large Language Model for Assisting in x86 Assembly Reverse Engineering","created":"2025-10-23","cited_by_count":1,"area":null},{"id":"2604.06173","title":"Beyond Case Law: Evaluating Structure-Aware Retrieval and Safety in Statute-Centric Legal QA","created":"2026-01-24","cited_by_count":1,"area":null},{"id":"2605.27564","title":"The Future of Facts: Tracing the Factual Generation-Verification Gap","created":"2026-05-26","cited_by_count":1,"area":null},{"id":"2606.09525","title":"Emergence of Context Characteristics Sensitivity in Large Language Models","created":"2026-06-08","cited_by_count":1,"area":null},{"id":"2506.12149","title":"Maximally-Informative Retrieval for State Space Model Generation","created":"2025-06-13","cited_by_count":0,"area":null},{"id":"2510.08620","title":"JAI-1: A Thai-Centric Large Language Model","created":"2025-10-08","cited_by_count":0,"area":null},{"id":"2511.02626","title":"Understanding New-Knowledge-Induced Factual Hallucinations in LLMs: Analysis and Interpretation","created":"2025-11-04","cited_by_count":0,"area":null},{"id":"2512.05242","title":"Learning to Code with Context: A Study-Based Approach","created":"2025-12-04","cited_by_count":0,"area":null},{"id":"2601.12921","title":"Injecting Knowledge from Social Science Journals to Improve Indonesian Cultural Understanding by LLMs","created":"2026-01-19","cited_by_count":0,"area":null},{"id":"2601.18468","title":"Latent Knowledge as a Predictor of Fact Acquisition in Fine-Tuned Large Language Models","created":"2026-01-26","cited_by_count":0,"area":null},{"id":"2602.11924","title":"Who Does What? Archetypes of Roles Assigned to LLMs During Human-AI Decision-Making","created":"2026-02-12","cited_by_count":0,"area":null},{"id":"2603.16325","title":"A Human-Centred Architecture for Large Language Models-Cognitive Assistants in Manufacturing within Quality Management Systems","created":"2026-03-17","cited_by_count":0,"area":null},{"id":"2603.22213","title":"SPA: A Simple but Tough-to-Beat Baseline for Knowledge Injection","created":"2026-03-23","cited_by_count":0,"area":null},{"id":"2604.16280","title":"Using Large Language Models and Knowledge Graphs to Improve the Interpretability of Machine Learning Models in Manufacturing","created":"2026-04-17","cited_by_count":0,"area":null},{"id":"2605.09533","title":"Assessment of RAG and Fine-Tuning for Industrial Question-Answering-Applications","created":"2026-05-10","cited_by_count":0,"area":null},{"id":"2606.23271","title":"Scaling LLM Knowledge Boundaries via Distribution-Optimized Synthesis","created":"2026-06-22","cited_by_count":0,"area":null},{"id":"2607.08393","title":"Towards Mechanistically Understanding Why Memorized Knowledge Fails to Generalize in Large Language Model Finetuning","created":"2026-07-09","cited_by_count":0,"area":null},{"id":"2607.21861","title":"Data Quality over Capacity: Internalizing Documents into LoRA Adapters for Closed-Book QA","created":"2026-07-23","cited_by_count":0,"area":null},{"id":"2608.20281","title":"Inject, Align, Recover: Staged Post-Training for Retrieval-Free Document Knowledge Internalization","created":"2026-08-20","cited_by_count":0,"area":null},{"id":"2608.25243","title":"From Memorization to Absorption: Mixed-Policy RL for Continual Knowledge Injection","created":"2026-08-26","cited_by_count":0,"area":null},{"id":"2608.30987","title":"Stick to What You Know: A Study of Knowledge-Aligned Supervised Fine-Tuning","created":"2026-08-31","cited_by_count":0,"area":null},{"id":"2609.00082","title":"KItCAT: Knowledge Injection via Input Corruption for Auto-regressive Training","created":"2026-08-31","cited_by_count":0,"area":null},{"id":"2609.00453","title":"mimeo: Compiling Public Expert Corpora into Agent Skills and Testing What Transfers","created":"2026-08-31","cited_by_count":0,"area":null},{"id":"2609.04180","title":"Knowledge Acquisition During Pre-training? Large Language Models Learn Better With Auxiliary Views","created":"2026-09-03","cited_by_count":0,"area":null},{"id":"2609.14652","title":"Natural Language Knowledge Graph Query Execution: Leveraging Controlled Semantics in the LLM Context Window","created":"2026-09-13","cited_by_count":0,"area":null},{"id":"2609.17346","title":"Where Should a Document Live: Context, Representations, or Parameters?","created":"2026-09-15","cited_by_count":0,"area":null},{"id":"2609.18496","title":"MiST: Mid-Training LLMs for Cybersecurity","created":"2026-09-16","cited_by_count":0,"area":null},{"id":"2610.13835","title":"Specialists Learn Faster: Knowledge Organization in Pre-training Shapes Knowledge Update Efficiency","created":"2026-10-09","cited_by_count":0,"area":null}],"next_cursor":"100"}