{"list":"other","total":71,"rows":[{"id":"2106.09685","title":"LoRA: Low-Rank Adaptation of Large Language Models","created":"2021-06-17","cited_by_count":14380},{"id":"2005.11401","title":"Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks","created":"2020-05-22","cited_by_count":9297},{"id":"2205.14135","title":"FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness","created":"2022-05-27","cited_by_count":3673},{"id":"2304.03442","title":"Generative Agents: Interactive Simulacra of Human Behavior","created":"2023-04-07","cited_by_count":3568},{"id":"2307.03172","title":"Lost in the Middle: How Language Models Use Long Contexts","created":"2023-07-06","cited_by_count":3455},{"id":"1904.09751","title":"The Curious Case of Neural Text Degeneration","created":"2019-04-22","cited_by_count":2916},{"id":"2310.11511","title":"Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection","created":"2023-10-17","cited_by_count":1839},{"id":"2307.02483","title":"Jailbroken: How Does LLM Safety Training Fail?","created":"2023-07-05","cited_by_count":1651},{"id":"1912.03817","title":"Machine Unlearning","created":"2019-12-09","cited_by_count":1061},{"id":"2209.07858","title":"Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned","created":"2022-08-23","cited_by_count":729},{"id":"2210.15097","title":"Contrastive Decoding: Open-ended Text Generation as Optimization","created":"2022-10-27","cited_by_count":609},{"id":"2402.07927","title":"A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications","created":"2024-02-05","cited_by_count":431},{"id":"2307.09009","title":"How is ChatGPT's behavior changing over time?","created":"2023-07-18","cited_by_count":270},{"id":"2401.07851","title":"Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding","created":"2024-01-15","cited_by_count":269},{"id":"2406.02818","title":"Chain of Agents: Large Language Models Collaborating on Long-Context Tasks","created":"2024-06-04","cited_by_count":206},{"id":"2310.04560","title":"Talk like a Graph: Encoding Graphs for Large Language Models","created":"2023-10-06","cited_by_count":176},{"id":"2308.02828","title":"An Empirical Study of the Non-determinism of ChatGPT in Code Generation","created":"2023-08-05","cited_by_count":137},{"id":"2510.05381","title":"Context Length Alone Hurts LLM Performance Despite Perfect Retrieval","created":"2025-10-06","cited_by_count":127},{"id":"2406.06608","title":"The Prompt Report: A Systematic Survey of Prompt Engineering Techniques","created":"2024-06-06","cited_by_count":121},{"id":"2407.10457","title":"The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism","created":"2024-07-15","cited_by_count":116},{"id":"2402.06925","title":"A Thorough Examination of Decoding Methods in the Era of LLMs","created":"2024-02-10","cited_by_count":114},{"id":"2401.13835","title":"What Large Language Models Know and What People Think They Know","created":"2024-01-24","cited_by_count":110},{"id":"2408.04667","title":"Non-Determinism of \"Deterministic\" LLM Settings","created":"2024-08-06","cited_by_count":92},{"id":"2309.09128","title":"ChainForge: A Visual Toolkit for Prompt Engineering and LLM Hypothesis Testing","created":"2023-09-17","cited_by_count":88},{"id":"2310.18547","title":"Punica: Multi-Tenant LoRA Serving","created":"2023-10-28","cited_by_count":83},{"id":"2410.12388","title":"Prompt Compression for Large Language Models: A Survey","created":"2024-10-16","cited_by_count":67},{"id":"2504.02692","title":"GPTAQ: Efficient Finetuning-Free Quantization for Asymmetric Calibration","created":"2025-04-03","cited_by_count":60},{"id":"2312.13303","title":"RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios","created":"2023-12-19","cited_by_count":46},{"id":"2505.06416","title":"ScaleMCP: Dynamic and Auto-Synchronizing Model Context Protocol Tools for LLM Agents","created":"2025-05-09","cited_by_count":36},{"id":"2311.03837","title":"OLaLa: Ontology Matching with Large Language Models","created":"2023-11-07","cited_by_count":35},{"id":"2403.10444","title":"Block Verification Accelerates Speculative Decoding","created":"2024-03-15","cited_by_count":30},{"id":"2506.00054","title":"Retrieval-Augmented Generation: A Comprehensive Survey of Architectures, Enhancements, and Robustness Frontiers","created":"2025-05-28","cited_by_count":27},{"id":"2309.07172","title":"Exploring Large Language Models for Ontology Alignment","created":"2023-09-12","cited_by_count":26},{"id":"2410.06097","title":"Decoding Decoded: Understanding Hyperparameter Effects in Open-Ended Text Generation","created":"2024-10-08","cited_by_count":26},{"id":"2411.16031","title":"Agent-Based Modelling Meets Generative AI in Social Network Simulations","created":"2024-11-25","cited_by_count":26},{"id":"2404.18353","title":"How secure is AI-generated Code: A Large-Scale Comparison of Large Language Models","created":"2024-04-29","cited_by_count":24},{"id":"2409.08775","title":"What Should We Engineer in Prompts? Training Humans in Requirement-Driven LLM Use","created":"2024-09-13","cited_by_count":24},{"id":"2506.10380","title":"TableRAG: A Retrieval Augmented Generation Framework for Heterogeneous Document Reasoning","created":"2025-06-12","cited_by_count":24},{"id":"2512.12812","title":"Does Tone Change the Answer? Evaluating Prompt Politeness Effects on Modern LLMs: GPT, Gemini, and LLaMA","created":"2025-12-14","cited_by_count":23},{"id":"2404.10317","title":"LLMs4OM: Matching Ontologies with Large Language Models","created":"2024-04-16","cited_by_count":22},{"id":"2506.05346","title":"Why LLM Safety Guardrails Collapse After Fine-tuning: A Similarity Analysis Between Alignment and Fine-tuning Datasets","created":"2025-06-05","cited_by_count":20},{"id":"2302.03350","title":"To Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods","created":"2023-02-07","cited_by_count":19},{"id":"2506.00582","title":"Do Language Models Mirror Human Confidence? Exploring Psychological Insights to Address Overconfidence in LLMs","created":"2025-05-31","cited_by_count":19},{"id":"2405.18092","title":"LLM experiments with simulation: Large Language Model Multi-Agent System for Simulation Model Parametrization in Digital Twins","created":"2024-05-28","cited_by_count":16},{"id":"2512.08290","title":"Systematization of Knowledge: Security and Safety in the Model Context Protocol Ecosystem","created":"2025-12-09","cited_by_count":16},{"id":"2407.12835","title":"Regurgitative Training: The Value of Real Data in Training Large Language Models","created":"2024-07-03","cited_by_count":15},{"id":"2412.17149","title":"A Multi-AI Agent System for Autonomous Optimization of Agentic AI Solutions via Iterative Refinement and LLM-Driven Feedback Loops","created":"2024-12-22","cited_by_count":13},{"id":"2502.08924","title":"Escaping Collapse: The Strength of Weak Data for Large Language Model Training","created":"2025-02-13","cited_by_count":11},{"id":"2506.23601","title":"Semantic-guided Diverse Decoding for Large Language Model","created":"2025-06-30","cited_by_count":9},{"id":"2505.00019","title":"An Empirical Study on Prompt Compression for Large Language Models","created":"2025-04-24","cited_by_count":8},{"id":"2509.13196","title":"The Few-shot Dilemma: Over-prompting Large Language Models","created":"2025-09-16","cited_by_count":8},{"id":"2510.04950","title":"Mind Your Tone: Investigating How Prompt Politeness Affects LLM Accuracy (short paper)","created":"2025-10-06","cited_by_count":8},{"id":"2503.12293","title":"Unified Modeling Language Code Generation from Diagram Images Using Multimodal Large Language Models","created":"2025-03-15","cited_by_count":7},{"id":"2508.14727","title":"Assessing the Quality and Security of AI-Generated Code: A Quantitative Analysis","created":"2025-08-20","cited_by_count":7},{"id":"2508.17739","title":"Speculative Safety-Aware Decoding","created":"2025-08-25","cited_by_count":7},{"id":"2412.10418","title":"Constrained Decoding with Speculative Lookaheads","created":"2024-12-09","cited_by_count":6},{"id":"2505.22630","title":"Stochastic Chameleons: Irrelevant Context Hallucinations Reveal Class-Based (Mis)Generalization in LLMs","created":"2025-05-28","cited_by_count":6},{"id":"2512.01546","title":"LPCD: Unified Framework from Layer-Wise to Submodule Quantization","created":"2025-12-01","cited_by_count":6},{"id":"2403.07118","title":"Narrating Causal Graphs with Large Language Models","created":"2024-03-11","cited_by_count":4},{"id":"2507.05723","title":"Large Language Models for Agent-Based Modelling: Current and possible uses across the modelling cycle","created":"2025-07-08","cited_by_count":4},{"id":"2403.15864","title":"Using Large Language Models for OntoClean-based Ontology Refinement","created":"2024-03-23","cited_by_count":3},{"id":"2411.02462","title":"Parameter-Efficient Fine-Tuning of Large Language Models for Unit Test Generation: An Empirical Study","created":"2024-11-04","cited_by_count":3},{"id":"2506.11141","title":"From over-reliance to smart integration: using Large-Language Models as translators between specialized modeling and simulation tools","created":"2025-06-11","cited_by_count":3},{"id":"2508.08256","title":"FIER: Fine-Grained and Efficient KV Cache Retrieval for Long-context LLM Inference","created":"2025-05-28","cited_by_count":3},{"id":"2512.16236","title":"The Evolution of Reranking Models in Information Retrieval: From Heuristic Methods to Large Language Models","created":"2025-12-18","cited_by_count":3},{"id":"2501.03566","title":"Applying Large Language Models in Knowledge Graph-based Enterprise Modeling: Challenges and Opportunities","created":"2025-01-07","cited_by_count":2},{"id":"2502.03916","title":"Experiments with Large Language Models on Retrieval-Augmented Generation for Closed-Source Simulation Software","created":"2025-02-06","cited_by_count":2},{"id":"2511.11847","title":"A Multimodal Manufacturing Safety Chatbot: Knowledge Base Design, Benchmark Development, and Evaluation of Multiple RAG Approaches","created":"2025-11-14","cited_by_count":2},{"id":"2601.07507","title":"High-Rank Structured Modulation for Parameter-Efficient Fine-Tuning","created":"2026-01-12","cited_by_count":2},{"id":"2510.19850","title":"Prompt Decorators: A Declarative and Composable Syntax for Reasoning, Formatting, and Control in LLMs","created":"2025-10-21","cited_by_count":1},{"id":"2512.09596","title":"Model management to support systems engineering workflows using ontology-based knowledge graphs","created":"2025-12-10","cited_by_count":1}],"next_cursor":null}