{"total":104,"rows":[{"id":"2501.13958","title":"A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models","created":"2025-01-21","cited_by_count":88,"area":"rag"},{"id":"2405.08011","title":"A Survey of Large Language Models for Graphs","created":"2024-05-10","cited_by_count":72,"area":null},{"id":"2506.19676","title":"A Survey of LLM-Driven AI Agent Communication: Protocols, Security Risks, and Defense Countermeasures","created":"2025-06-24","cited_by_count":57,"area":"agents"},{"id":"2402.17385","title":"Determinants of LLM-assisted Decision-Making","created":"2024-02-27","cited_by_count":56,"area":null},{"id":"2406.12232","title":"\"You Gotta be a Doctor, Lin\": An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations","created":"2024-06-18","cited_by_count":33,"area":null},{"id":"2509.06948","title":"Beyond Two-Stage Training: Cooperative SFT and RL for LLM Reasoning","created":"2025-09-08","cited_by_count":30,"area":"lr"},{"id":"2408.02085","title":"Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models","created":"2024-08-04","cited_by_count":29,"area":"alignment"},{"id":"2404.01549","title":"Octopus: On-device language model for function calling of software APIs","created":"2024-04-02","cited_by_count":27,"area":"agents"},{"id":"2410.19744","title":"Towards Next-Generation LLM-based Recommender Systems: A Survey and Beyond","created":"2024-10-10","cited_by_count":26,"area":"lr"},{"id":"2502.05370","title":"Taming Latency-Memory Trade-Off in MoE-Based LLM Serving via Fine-Grained Expert Offloading","created":"2025-02-07","cited_by_count":24,"area":"moe"},{"id":"2504.16420","title":"A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms","created":"2025-04-23","cited_by_count":17,"area":"agents"},{"id":"2407.15620","title":"Dual Test-time Training for Out-of-distribution Recommender System","created":"2024-07-22","cited_by_count":16,"area":null},{"id":"2404.16924","title":"A Survey of Generative Search and Recommendation in the Era of Large Language Models","created":"2024-04-25","cited_by_count":15,"area":null},{"id":"2505.17505","title":"L-MTP: Leap Multi-Token Prediction Beyond Adjacent Context for Large Language Models","created":"2025-05-23","cited_by_count":15,"area":null},{"id":"2408.12483","title":"Not All Samples Should Be Utilized Equally: Towards Understanding and Improving Dataset Distillation","created":"2024-08-22","cited_by_count":14,"area":null},{"id":"2503.08195","title":"Dialogue Injection Attack: Jailbreaking LLMs through Context Manipulation","created":"2025-03-11","cited_by_count":14,"area":"safety"},{"id":"2512.21699","title":"Towards Responsible and Explainable AI Agents with Consensus-Driven Reasoning","created":"2025-12-25","cited_by_count":14,"area":"lr"},{"id":"2402.18590","title":"Exploring the Impact of Large Language Models on Recommender Systems: An Extensive Review","created":"2024-02-11","cited_by_count":12,"area":"lr"},{"id":"2501.01124","title":"Graph2text or Graph2token: A Perspective of Large Language Models for Graph Learning","created":"2025-01-02","cited_by_count":12,"area":null},{"id":"2510.25588","title":"Standardization of Psychiatric Diagnoses -- Role of Fine-tuned LLM Consortium and OpenAI-gpt-oss Reasoning LLM Enabled Decision Support System","created":"2025-10-29","cited_by_count":12,"area":"lr"},{"id":"2410.05165","title":"Efficient Inference for Large Language Model-based Generative Recommendation","created":"2024-10-07","cited_by_count":11,"area":null},{"id":"2508.04117","title":"Unveiling Over-Memorization in Finetuning LLMs for Reasoning Tasks","created":"2025-08-06","cited_by_count":11,"area":"lr"},{"id":"2511.22707","title":"CoFiRec: Coarse-to-Fine Tokenization for Generative Recommendation","created":"2025-11-27","cited_by_count":11,"area":null},{"id":"2410.01296","title":"Speculative Coreset Selection for Task-Specific Fine-tuning","created":"2024-10-02","cited_by_count":10,"area":null},{"id":"2410.10926","title":"Federated Data-Efficient Instruction Tuning for Large Language Models","created":"2024-10-14","cited_by_count":10,"area":null},{"id":"2412.06293","title":"Mastering Collaborative Multi-modal Data Selection: A Focus on Informativeness, Uniqueness, and Representativeness","created":"2024-12-09","cited_by_count":10,"area":"mllm"},{"id":"2402.05868","title":"EmojiPrompt: Generative Prompt Obfuscation for Privacy-Preserving Communication with Cloud-based LLMs","created":"2024-02-08","cited_by_count":9,"area":null},{"id":"2510.25817","title":"A Survey on Efficient Large Language Model Training: From Data-centric Perspectives","created":"2025-10-29","cited_by_count":9,"area":null},{"id":"2410.04060","title":"LoRTA: Low Rank Tensor Adaptation of Large Language Models","created":"2024-10-05","cited_by_count":7,"area":null},{"id":"2412.12836","title":"A Survey on Recommendation Unlearning: Fundamentals, Taxonomy, Evaluation, and Open Questions","created":"2024-12-17","cited_by_count":7,"area":null},{"id":"2503.01052","title":"ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Party LLM Data Valuation","created":"2025-03-02","cited_by_count":7,"area":null},{"id":"2505.18793","title":"Genie Centurion: Accelerating Scalable Real-World Robot Training with Human Rewind-and-Refine Guidance","created":"2025-05-24","cited_by_count":7,"area":"vla"},{"id":"2510.02352","title":"Evaluating Bias in Spoken Dialogue LLMs for Real-World Decisions and Recommendations","created":"2025-09-27","cited_by_count":7,"area":null},{"id":"2403.12671","title":"Enhancing Security of AI-Based Code Synthesis with GitHub Copilot via Cheap and Efficient Prompt-Engineering","created":"2024-03-19","cited_by_count":6,"area":null},{"id":"2407.02833","title":"LANE: Logic Alignment of Non-tuning Large Language Models and Online Recommendation Systems for Explainable Reason Generation","created":"2024-07-03","cited_by_count":6,"area":"lr"},{"id":"2408.00123","title":"Semantic Codebook Learning for Dynamic Recommendation Models","created":"2024-07-31","cited_by_count":6,"area":null},{"id":"2508.15809","title":"Chain-of-Query: Unleashing the Power of LLMs in SQL-Aided Table Understanding via Multi-Agent Collaboration","created":"2025-08-14","cited_by_count":6,"area":"agents"},{"id":"2508.17677","title":"TiKMiX: Take Data Influence into Dynamic Mixture for Language Model Pre-training","created":"2025-08-25","cited_by_count":6,"area":null},{"id":"2405.16579","title":"Automatically Generating Numerous Context-Driven SFT Data for LLMs across Diverse Granularity","created":"2024-05-26","cited_by_count":4,"area":null},{"id":"2406.15259","title":"V-RECS, a Low-Cost LLM4VIS Recommender with Explanations, Captioning and Suggestions","created":"2024-06-21","cited_by_count":4,"area":null},{"id":"2410.10743","title":"From Anchors to Answers: A Novel Node Tokenizer for Integrating Graph Structure into Large Language Models","created":"2024-10-14","cited_by_count":4,"area":null},{"id":"2410.16088","title":"Fine-Tuning LLMs for Reliable Medical Question-Answering Services","created":"2024-10-21","cited_by_count":4,"area":null},{"id":"2412.14426","title":"All-in-One Tuning and Structural Pruning for Domain-Specific LLMs","created":"2024-12-19","cited_by_count":4,"area":null},{"id":"2503.02976","title":"Teaching AI to Handle Exceptions: Supervised Fine-Tuning with Human-Aligned Judgment","created":"2025-03-04","cited_by_count":4,"area":"agents"},{"id":"2503.18941","title":"Exploring Training and Inference Scaling Laws in Generative Retrieval","created":"2025-03-24","cited_by_count":4,"area":null},{"id":"2503.21735","title":"GateLens: A Reasoning-Enhanced LLM Agent for Automotive Software Release Analytics","created":"2025-03-27","cited_by_count":4,"area":"lr"},{"id":"2505.14057","title":"Field Matters: A Lightweight LLM-enhanced Method for CTR Prediction","created":"2025-05-20","cited_by_count":4,"area":null},{"id":"2402.13840","title":"Multi-view Intent Learning and Alignment with Large Language Models for Session-based Recommendation","created":"2024-02-21","cited_by_count":3,"area":null},{"id":"2402.18169","title":"MIKO: Multimodal Intention Knowledge Distillation from Large Language Models for Social-Media Commonsense Discovery","created":"2024-02-28","cited_by_count":3,"area":"distill"},{"id":"2406.02368","title":"Large Language Models Make Sample-Efficient Recommender Systems","created":"2024-06-04","cited_by_count":3,"area":null},{"id":"2501.06708","title":"Evaluating Sample Utility for Efficient Data Selection by Mimicking Model Weights","created":"2025-01-12","cited_by_count":3,"area":null},{"id":"2508.12473","title":"Standardization of Neuromuscular Reflex Analysis -- Role of Fine-Tuned Vision-Language Model Consortium and OpenAI gpt-oss Reasoning LLM Enabled Decision Support System","created":"2025-08-17","cited_by_count":3,"area":null},{"id":"2510.07118","title":"TRIM: Token-wise Attention-Derived Saliency for Data-Efficient Instruction Tuning","created":"2025-10-08","cited_by_count":3,"area":"alignment"},{"id":"2406.02479","title":"Applying Fine-Tuned LLMs for Reducing Data Needs in Load Profile Analysis","created":"2024-06-02","cited_by_count":2,"area":null},{"id":"2406.12243","title":"CherryRec: Enhancing News Recommendation Quality via LLM-driven Framework","created":"2024-06-18","cited_by_count":2,"area":null},{"id":"2410.12989","title":"Qtok: A Comprehensive Framework for Evaluating Multilingual Tokenizer Quality in Large Language Models","created":"2024-10-16","cited_by_count":2,"area":null},{"id":"2502.16159","title":"ZiGong 1.0: A Large Language Model for Financial Credit","created":"2025-02-22","cited_by_count":2,"area":null},{"id":"2503.16457","title":"Integrating Personality into Digital Humans: A Review of LLM-Driven Approaches for Virtual Reality","created":"2025-02-22","cited_by_count":2,"area":null},{"id":"2503.23869","title":"Communication-Efficient and Personalized Federated Foundation Model Fine-Tuning via Tri-Matrix Adaptation","created":"2025-03-31","cited_by_count":2,"area":null},{"id":"2506.09084","title":"PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models","created":"2025-06-10","cited_by_count":2,"area":"alignment"},{"id":"2508.16126","title":"Spacetime-GR: A Spacetime-Aware Generative Model for Large Scale Online POI Recommendation","created":"2025-08-22","cited_by_count":2,"area":null},{"id":"2510.25093","title":"Continual Low-Rank Adapters for LLM-based Generative Recommender Systems","created":"2025-10-29","cited_by_count":2,"area":null},{"id":"2511.21056","title":"Bilevel Data Curation for LLM Fine-tuning: Offline Selection and Online Self-Refining Generation","created":"2025-11-26","cited_by_count":2,"area":null},{"id":"2601.21003","title":"Bayesian-LoRA: Probabilistic Low-Rank Adaptation of Large Language Models","created":"2026-01-28","cited_by_count":2,"area":null},{"id":"2402.14002","title":"Hallucinations or Attention Misdirection? The Path to Strategic Value Extraction in Business Using Large Language Models","created":"2024-02-21","cited_by_count":1,"area":null},{"id":"2410.15163","title":"Optimizing Large Language Models for Dynamic Constraints through Human-in-the-Loop Discriminators","created":"2024-10-19","cited_by_count":1,"area":null},{"id":"2505.05122","title":"Text2Cypher: Data Pruning using Hard Example Selection","created":"2025-05-08","cited_by_count":1,"area":null},{"id":"2505.23053","title":"Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders","created":"2025-05-29","cited_by_count":1,"area":null},{"id":"2506.07037","title":"KG2QA: Knowledge Graph-enhanced Retrieval-augmented Generation for Communication Standards Question Answering","created":"2025-06-08","cited_by_count":1,"area":"rag"},{"id":"2506.13746","title":"Evaluating Large Language Models for Phishing Detection, Self-Consistency, Faithfulness, and Explainability","created":"2025-06-16","cited_by_count":1,"area":"lr"},{"id":"2507.10103","title":"Accelerating Automatic Program Repair with Dual Retrieval-Augmented Fine-Tuning and Patch Generation on Large Language Models","created":"2025-07-14","cited_by_count":1,"area":"rag"},{"id":"2507.16203","title":"SVAgent: AI Agent for Hardware Security Verification Assertion","created":"2025-07-22","cited_by_count":1,"area":null},{"id":"2508.05667","title":"ITDR: An Instruction Tuning Dataset for Enhancing Large Language Models in Recommendations","created":"2025-08-01","cited_by_count":1,"area":null},{"id":"2508.11889","title":"In-Context Examples Matter: Improving Emotion Recognition in Conversation with Instruction Tuning","created":"2025-08-16","cited_by_count":1,"area":null},{"id":"2509.01551","title":"Cloud-Device Collaborative Agents for Sequential Recommendation","created":"2025-09-01","cited_by_count":1,"area":"lr"},{"id":"2510.11598","title":"MeTA-LoRA: Data-Efficient Multi-Task Fine-Tuning for Large Language Models","created":"2025-10-13","cited_by_count":1,"area":null},{"id":"2510.26185","title":"Accumulative SGD Influence Estimation for Data Attribution","created":"2025-10-30","cited_by_count":1,"area":null},{"id":"2511.12922","title":"Tokenize Once, Recommend Anywhere: Unified Item Tokenization for Multi-domain LLM-based Recommendation","created":"2025-11-17","cited_by_count":1,"area":"moe"},{"id":"2512.02402","title":"TaleFrame: An Interactive Story Generation System with Fine-Grained Control and Large Language Models","created":"2025-12-02","cited_by_count":1,"area":null},{"id":"2602.09392","title":"LLMAC: A Global and Explainable Access Control Framework with Large Language Model","created":"2026-02-10","cited_by_count":1,"area":null},{"id":"2602.13227","title":"An Agentic AI Control Plane for 6G Network Slice Orchestration, Monitoring, and Trading","created":"2026-01-27","cited_by_count":1,"area":"agents"},{"id":"2602.14536","title":"Explainable Token-level Noise Filtering for LLM Fine-tuning Datasets","created":"2026-02-16","cited_by_count":1,"area":null},{"id":"2605.11974","title":"Towards Order Fairness: Mitigating LLMs Order Sensitivity through Dual Group Advantage Optimization","created":"2026-05-12","cited_by_count":1,"area":null},{"id":"2605.18899","title":"Don't Let Bandit Feedback Pull Continual LLM-Recommender Updates Off Target","created":"2026-05-17","cited_by_count":1,"area":null},{"id":"2605.21422","title":"PRISM: Preference-Aware Influence Function Based Data Selection Method for Efficient Fine-Tuning","created":"2026-05-20","cited_by_count":1,"area":null},{"id":"2407.15862","title":"Performance Evaluation of Lightweight Open-source Large Language Models in Pediatric Consultations: A Comparative Analysis","created":"2024-07-16","cited_by_count":0,"area":null},{"id":"2506.17281","title":"CORONA: A Coarse-to-Fine Framework for Graph-based Recommendation with Large Language Models","created":"2025-06-14","cited_by_count":0,"area":"lr"},{"id":"2507.12871","title":"Generative Multi-Target Cross-Domain Recommendation","created":"2025-07-17","cited_by_count":0,"area":null},{"id":"2507.18668","title":"Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs","created":"2025-07-24","cited_by_count":0,"area":null},{"id":"2507.22913","title":"A Hybrid Framework for Subject Analysis: Integrating Embedding-Based Regression Models with Large Language Models","created":"2025-07-19","cited_by_count":0,"area":null},{"id":"2509.20381","title":"USB-Rec: An Effective Framework for Improving Conversational Recommendation Capability of Large Language Model","created":"2025-09-20","cited_by_count":0,"area":null},{"id":"2510.02653","title":"Geolog-IA: Conversational System for Academic Theses","created":"2025-10-03","cited_by_count":0,"area":null},{"id":"2510.20428","title":"An Empirical Study of Sample Selection Strategies for Large Language Model Repair","created":"2025-10-23","cited_by_count":0,"area":null},{"id":"2511.00450","title":"SmartDoc: A Context-Aware Agentic Method Comment Generation Plugin","created":"2025-11-01","cited_by_count":0,"area":"agents"},{"id":"2511.07166","title":"AdaRec: Adaptive Recommendation with LLMs via Narrative Profiling and Dual-Channel Reasoning","created":"2025-11-10","cited_by_count":0,"area":"lr"},{"id":"2601.10067","title":"Efficient Content-based Recommendation Model Training via Noise-aware Coreset Selection","created":"2026-01-15","cited_by_count":0,"area":null},{"id":"2604.07825","title":"Filling the Gaps: Selective Knowledge Augmentation for LLM Recommenders","created":"2026-04-09","cited_by_count":0,"area":null},{"id":"2605.16269","title":"Train the Trainers -- An Agentic AI Framework for Peer-Based Mental Health Support in Battlefield Environments","created":"2026-03-31","cited_by_count":0,"area":"agents"},{"id":"2606.01386","title":"GuidaPA: Privacy-Preserving Chatbot for Public Administration via Federated Learning","created":"2026-05-31","cited_by_count":0,"area":null},{"id":"2606.26857","title":"LCAi: Life Cycle Assessment with big data fusion and retrieval-augmented generation-assisted interpretation","created":"2026-06-25","cited_by_count":0,"area":null}],"next_cursor":"100"}