{"total":101,"rows":[{"id":"2309.07864","title":"The Rise and Potential of Large Language Model Based Agents: A Survey","created":"2023-09-14","cited_by_count":1439,"area":"agents"},{"id":"2307.03109","title":"A Survey on Evaluation of Large Language Models","created":"2023-07-06","cited_by_count":1242,"area":null},{"id":"2412.05579","title":"LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods","created":"2024-12-07","cited_by_count":465,"area":null},{"id":"2401.13178","title":"AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents","created":"2024-01-24","cited_by_count":339,"area":"agents"},{"id":"2307.10169","title":"Challenges and Applications of Large Language Models","created":"2023-07-19","cited_by_count":254,"area":null},{"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":"2310.05694","title":"A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics","created":"2023-10-09","cited_by_count":163,"area":null},{"id":"2307.02762","title":"PRD: Peer Rank and Discussion Improve Large Language Model based Evaluations","created":"2023-07-06","cited_by_count":114,"area":null},{"id":"2307.13721","title":"Foundational Models Defining a New Era in Vision: A Survey and Outlook","created":"2023-07-25","cited_by_count":110,"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":"2308.04026","title":"AgentSims: An Open-Source Sandbox for Large Language Model Evaluation","created":"2023-08-08","cited_by_count":88,"area":null},{"id":"2402.01383","title":"LLM-based NLG Evaluation: Current Status and Challenges","created":"2024-02-02","cited_by_count":73,"area":null},{"id":"2310.14735","title":"Unleashing the potential of prompt engineering for large language models","created":"2023-10-23","cited_by_count":72,"area":null},{"id":"2503.22458","title":"Evaluating LLM-based Agents for Multi-Turn Conversations: A Survey","created":"2025-03-28","cited_by_count":57,"area":"agents"},{"id":"2306.16902","title":"Integrating Large Language Model for Improved Causal Discovery","created":"2023-06-29","cited_by_count":54,"area":null},{"id":"2409.16191","title":"HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models","created":"2024-09-24","cited_by_count":44,"area":null},{"id":"2506.22316","title":"Evaluating Scoring Bias in LLM-as-a-Judge","created":"2025-06-27","cited_by_count":43,"area":null},{"id":"2405.20267","title":"Auto-Arena: Automating LLM Evaluations with Agent Peer Battles and Committee Discussions","created":"2024-05-30","cited_by_count":42,"area":"agents"},{"id":"2311.14906","title":"AutoEval-Video: An Automatic Benchmark for Assessing Large Vision Language Models in Open-Ended Video Question Answering","created":"2023-11-25","cited_by_count":40,"area":"mllm"},{"id":"2504.03846","title":"Do LLM Evaluators Prefer Themselves for a Reason?","created":"2025-04-04","cited_by_count":38,"area":"lr"},{"id":"2308.10032","title":"GameEval: Evaluating LLMs on Conversational Games","created":"2023-08-19","cited_by_count":37,"area":null},{"id":"2404.15381","title":"Advances and Open Challenges in Federated Foundation Models","created":"2024-04-23","cited_by_count":36,"area":null},{"id":"2402.19348","title":"Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook","created":"2024-02-29","cited_by_count":33,"area":null},{"id":"2307.12966","title":"Aligning Large Language Models with Human: A Survey","created":"2023-07-24","cited_by_count":32,"area":"alignment"},{"id":"2309.11166","title":"Are Large Language Models Really Robust to Word-Level Perturbations?","created":"2023-09-20","cited_by_count":32,"area":"alignment"},{"id":"2402.17826","title":"Prediction-Powered Ranking of Large Language Models","created":"2024-02-27","cited_by_count":29,"area":null},{"id":"2307.15311","title":"TrafficSafetyGPT: Tuning a Pre-trained Large Language Model to a Domain-Specific Expert in Transportation Safety","created":"2023-07-28","cited_by_count":27,"area":null},{"id":"2407.10725","title":"CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses","created":"2024-07-15","cited_by_count":23,"area":null},{"id":"2511.15722","title":"Spatial Reasoning in Multimodal Large Language Models: A Survey of Tasks, Benchmarks and Methods","created":"2025-11-14","cited_by_count":23,"area":"lr"},{"id":"2311.14543","title":"Data-Efficient Alignment of Large Language Models with Human Feedback Through Natural Language","created":"2023-11-24","cited_by_count":22,"area":"alignment"},{"id":"2509.21117","title":"TrustJudge: Inconsistencies of LLM-as-a-Judge and How to Alleviate Them","created":"2025-09-25","cited_by_count":20,"area":null},{"id":"2408.13545","title":"IQA-EVAL: Automatic Evaluation of Human-Model Interactive Question Answering","created":"2024-08-24","cited_by_count":19,"area":null},{"id":"2312.11518","title":"User Modeling in the Era of Large Language Models: Current Research and Future Directions","created":"2023-12-11","cited_by_count":18,"area":null},{"id":"2403.19346","title":"Large Language Models Struggle with Unreasonability in Math Problems","created":"2024-03-28","cited_by_count":18,"area":"lr"},{"id":"2408.03573","title":"AcTracer: Active Testing of Large Language Model via Multi-Stage Sampling","created":"2024-08-07","cited_by_count":17,"area":null},{"id":"2407.05138","title":"Are LLMs Correctly Integrated into Software Systems?","created":"2024-07-06","cited_by_count":15,"area":"rag"},{"id":"2308.07635","title":"LLM-Mini-CEX: Automatic Evaluation of Large Language Model for Diagnostic Conversation","created":"2023-08-15","cited_by_count":14,"area":null},{"id":"2309.08448","title":"Advancing the Evaluation of Traditional Chinese Language Models: Towards a Comprehensive Benchmark Suite","created":"2023-09-15","cited_by_count":14,"area":null},{"id":"2402.01830","title":"PiCO: Peer Review in LLMs based on the Consistency Optimization","created":"2024-02-02","cited_by_count":14,"area":null},{"id":"2403.19148","title":"GenAI Detection Tools, Adversarial Techniques and Implications for Inclusivity in Higher Education","created":"2024-03-28","cited_by_count":14,"area":null},{"id":"2310.08958","title":"xDial-Eval: A Multilingual Open-Domain Dialogue Evaluation Benchmark","created":"2023-10-13","cited_by_count":13,"area":null},{"id":"2404.01288","title":"Large Language Models are Capable of Offering Cognitive Reappraisal, if Guided","created":"2024-04-01","cited_by_count":13,"area":null},{"id":"2409.18812","title":"LLMs4Synthesis: Leveraging Large Language Models for Scientific Synthesis","created":"2024-09-27","cited_by_count":13,"area":null},{"id":"2402.00262","title":"Computational Experiments Meet Large Language Model Based Agents: A Survey and Perspective","created":"2024-02-01","cited_by_count":11,"area":"agents"},{"id":"2404.01015","title":"PairEval: Open-domain Dialogue Evaluation with Pairwise Comparison","created":"2024-04-01","cited_by_count":11,"area":null},{"id":"2406.12319","title":"The Comparative Trap: Pairwise Comparisons Amplifies Biased Preferences of LLM Evaluators","created":"2024-06-18","cited_by_count":11,"area":null},{"id":"2505.19236","title":"Evaluating Text Creativity across Diverse Domains: A Dataset and Large Language Model Evaluator","created":"2025-05-25","cited_by_count":10,"area":null},{"id":"2408.04650","title":"Building Trust in Mental Health Chatbots: Safety Metrics and LLM-Based Evaluation Tools","created":"2024-08-03","cited_by_count":9,"area":"agents"},{"id":"2311.02945","title":"PhoGPT: Generative Pre-training for Vietnamese","created":"2023-11-06","cited_by_count":8,"area":null},{"id":"2502.01754","title":"Evaluation of Large Language Models via Coupled Token Generation","created":"2025-02-03","cited_by_count":8,"area":null},{"id":"2502.04384","title":"Enhancing Reasoning to Adapt Large Language Models for Domain-Specific Applications","created":"2025-02-05","cited_by_count":8,"area":"lr"},{"id":"2410.14165","title":"Automated Genre-Aware Article Scoring and Feedback Using Large Language Models","created":"2024-10-18","cited_by_count":7,"area":null},{"id":"2502.18018","title":"Verdict: A Library for Scaling Judge-Time Compute","created":"2025-02-25","cited_by_count":7,"area":null},{"id":"2408.03562","title":"A Comparison of LLM Finetuning Methods & Evaluation Metrics with Travel Chatbot Use Case","created":"2024-08-07","cited_by_count":6,"area":"rag"},{"id":"2410.10724","title":"Large Language Models Are Active Critics in NLG Evaluation","created":"2024-10-14","cited_by_count":6,"area":null},{"id":"2411.10681","title":"Structured Dialogue System for Mental Health: An LLM Chatbot Leveraging the PM+ Guidelines","created":"2024-11-16","cited_by_count":6,"area":null},{"id":"2402.08472","title":"Large Language Models for the Automated Analysis of Optimization Algorithms","created":"2024-02-13","cited_by_count":5,"area":null},{"id":"2510.13501","title":"Confidence as a Reward: Transforming LLMs into Reward Models","created":"2025-10-15","cited_by_count":5,"area":"lr"},{"id":"2407.03964","title":"Improving Sample Efficiency of Reinforcement Learning with Background Knowledge from Large Language Models","created":"2024-07-04","cited_by_count":4,"area":null},{"id":"2412.12322","title":"RAG Playground: A Framework for Systematic Evaluation of Retrieval Strategies and Prompt Engineering in RAG Systems","created":"2024-12-16","cited_by_count":4,"area":"rag"},{"id":"2502.04357","title":"Reusing Embeddings: Reproducible Reward Model Research in Large Language Model Alignment without GPUs","created":"2025-02-04","cited_by_count":4,"area":"lr"},{"id":"2311.07469","title":"InCA: Rethinking In-Car Conversational System Assessment Leveraging Large Language Models","created":"2023-11-13","cited_by_count":3,"area":"lr"},{"id":"2405.14691","title":"CityGPT: Towards Urban IoT Learning, Analysis and Interaction with Multi-Agent System","created":"2024-05-23","cited_by_count":3,"area":null},{"id":"2407.07666","title":"A Proposed S.C.O.R.E. Evaluation Framework for Large Language Models : Safety, Consensus, Objectivity, Reproducibility and Explainability","created":"2024-07-10","cited_by_count":3,"area":null},{"id":"2408.04645","title":"Evaluating the Impact of Advanced LLM Techniques on AI-Lecture Tutors for a Robotics Course","created":"2024-08-02","cited_by_count":3,"area":null},{"id":"2411.17204","title":"Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks","created":"2024-11-26","cited_by_count":3,"area":null},{"id":"2511.10287","title":"OutSafe-Bench: A Benchmark for Multimodal Offensive Content Detection in Large Language Models","created":"2025-11-13","cited_by_count":3,"area":"mllm"},{"id":"2604.19773","title":"PR-CAD: Progressive Refinement for Unified Controllable and Faithful Text-to-CAD Generation with Large Language Models","created":"2026-03-27","cited_by_count":3,"area":null},{"id":"2310.04836","title":"Dual Grained Quantization: Efficient Fine-Grained Quantization for LLM","created":"2023-10-07","cited_by_count":2,"area":null},{"id":"2403.00820","title":"Retrieval Augmented Generation Systems: Automatic Dataset Creation, Evaluation and Boolean Agent Setup","created":"2024-02-26","cited_by_count":2,"area":"rag"},{"id":"2501.12698","title":"Training Dialogue Systems by AI Feedback for Improving Overall Dialogue Impression","created":"2025-01-22","cited_by_count":2,"area":"alignment"},{"id":"2501.18794","title":"Survey and Improvement Strategies for Gene Prioritization with Large Language Models","created":"2025-01-30","cited_by_count":2,"area":null},{"id":"2506.06331","title":"How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG","created":"2025-05-31","cited_by_count":2,"area":"rag"},{"id":"2507.18442","title":"AraTable: Benchmarking LLMs' Reasoning and Understanding of Arabic Tabular Data","created":"2025-07-24","cited_by_count":2,"area":"lr"},{"id":"2510.17256","title":"Explainability of Large Language Models: Opportunities and Challenges toward Generating Trustworthy Explanations","created":"2025-10-20","cited_by_count":2,"area":"mechinterp"},{"id":"2510.21847","title":"SynCast: Synergizing Contradictions in Precipitation Nowcasting via Diffusion Sequential Preference Optimization","created":"2025-10-22","cited_by_count":2,"area":"alignment"},{"id":"2409.14371","title":"The Ability of Large Language Models to Evaluate Constraint-satisfaction in Agent Responses to Open-ended Requests","created":"2024-09-22","cited_by_count":1,"area":"agents"},{"id":"2411.15320","title":"PPLqa: An Unsupervised Information-Theoretic Quality Metric for Comparing Generative Large Language Models","created":"2024-11-22","cited_by_count":1,"area":null},{"id":"2503.20309","title":"Instruction-Oriented Preference Alignment for Enhancing Multi-Modal Comprehension Capability of MLLMs","created":"2025-03-26","cited_by_count":1,"area":"mllm"},{"id":"2504.01248","title":"Automated Factual Benchmarking for In-Car Conversational Systems using Large Language Models","created":"2025-04-01","cited_by_count":1,"area":null},{"id":"2506.04516","title":"DRE: An Effective Dual-Refined Method for Integrating Small and Large Language Models in Open-Domain Dialogue Evaluation","created":"2025-06-04","cited_by_count":1,"area":null},{"id":"2509.18690","title":"Advances in Large Language Models for Medicine","created":"2025-09-23","cited_by_count":1,"area":null},{"id":"2511.21860","title":"Improving Score Reliability of Multiple Choice Benchmarks with Consistency Evaluation and Altered Answer Choices","created":"2025-11-26","cited_by_count":1,"area":null},{"id":"2601.08440","title":"Incentivizing Cardiologist-Like Reasoning in MLLMs for Interpretable Echocardiographic Diagnosis","created":"2026-01-13","cited_by_count":1,"area":"lr"},{"id":"2601.08892","title":"Evaluating Role-Consistency in LLMs for Counselor Training","created":"2026-01-13","cited_by_count":1,"area":null},{"id":"2605.06540","title":"Ex Ante Evaluation of AI-Induced Idea Diversity Collapse","created":"2026-05-07","cited_by_count":1,"area":null},{"id":"2605.15416","title":"Margin-Adaptive Confidence Ranking for Reliable LLM Judgement","created":"2026-05-14","cited_by_count":1,"area":null},{"id":"2605.18763","title":"Query-Conditioned Graph Retrieval for Contextualized LLM Reasoning in Personalized Wearable Data","created":"2026-04-10","cited_by_count":1,"area":"lr"},{"id":"2403.13334","title":"Hyacinth6B: A large language model for Traditional Chinese","created":"2024-03-20","cited_by_count":0,"area":null},{"id":"2410.19642","title":"VARS: Vision-based Assessment of Risk in Security Systems","created":"2024-10-25","cited_by_count":0,"area":null},{"id":"2411.00034","title":"Is Our Chatbot Telling Lies? Assessing Correctness of an LLM-based Dutch Support Chatbot","created":"2024-10-29","cited_by_count":0,"area":null},{"id":"2504.00938","title":"AI Judges in Design: Statistical Perspectives on Achieving Human Expert Equivalence With Vision-Language Models","created":"2025-04-01","cited_by_count":0,"area":"mllm"},{"id":"2505.13794","title":"LLM-based Evaluation Policy Extraction for Ecological Modeling","created":"2025-05-20","cited_by_count":0,"area":null},{"id":"2506.05950","title":"Elementary Math Word Problem Generation using Large Language Models","created":"2025-06-06","cited_by_count":0,"area":null},{"id":"2510.04934","title":"AURA Score: A Metric For Holistic Audio Question Answering Evaluation","created":"2025-10-06","cited_by_count":0,"area":null},{"id":"2605.15635","title":"Evaluating Chinese Ambiguity Understanding in Large Language Models","created":"2026-05-15","cited_by_count":0,"area":null},{"id":"2605.16650","title":"SKG-Eval: Stateful Evaluation of Multi-Turn Dialogue via Incremental Semantic Knowledge Graphs","created":"2026-05-15","cited_by_count":0,"area":null},{"id":"2606.05896","title":"Resonant Minds: Closed-Loop Social Avatars with Theory of Mind","created":"2026-06-04","cited_by_count":0,"area":null},{"id":"2609.35408","title":"\"Nothing to See Here'': Unintended Disclosure through Revision Traces of LLM Deliverables","created":"2026-09-28","cited_by_count":0,"area":null}],"next_cursor":"100"}