{"total":80,"rows":[{"id":"2309.00770","title":"Bias and Fairness in Large Language Models: A Survey","created":"2023-09-02","cited_by_count":639,"area":null},{"id":"2406.07545","title":"Open-LLM-Leaderboard: From Multi-choice to Open-style Questions for LLMs Evaluation, Benchmark, and Arena","created":"2024-06-11","cited_by_count":76,"area":null},{"id":"2404.01349","title":"Fairness in Large Language Models: A Taxonomic Survey","created":"2024-03-31","cited_by_count":58,"area":null},{"id":"2403.14541","title":"EDT: Improving Large Language Models' Generation by Entropy-based Dynamic Temperature Sampling","created":"2024-03-21","cited_by_count":45,"area":null},{"id":"2409.06857","title":"What is the Role of Small Models in the LLM Era: A Survey","created":"2024-09-10","cited_by_count":41,"area":null},{"id":"2410.15413","title":"A Comprehensive Evaluation of Cognitive Biases in LLMs","created":"2024-10-20","cited_by_count":34,"area":null},{"id":"2309.12444","title":"Foundation Metrics for Evaluating Effectiveness of Healthcare Conversations Powered by Generative AI","created":"2023-09-21","cited_by_count":32,"area":null},{"id":"2407.06863","title":"Beyond Aesthetics: Cultural Competence in Text-to-Image Models","created":"2024-07-09","cited_by_count":30,"area":null},{"id":"2504.15266","title":"Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction","created":"2025-04-21","cited_by_count":29,"area":null},{"id":"2312.00678","title":"The Efficiency Spectrum of Large Language Models: An Algorithmic Survey","created":"2023-12-01","cited_by_count":26,"area":null},{"id":"2412.11142","title":"AD-LLM: Benchmarking Large Language Models for Anomaly Detection","created":"2024-12-15","cited_by_count":26,"area":null},{"id":"2505.15229","title":"Multilingual Prompting for Improving LLM Generation Diversity","created":"2025-05-21","cited_by_count":25,"area":null},{"id":"2406.05392","title":"Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas: A Survey","created":"2024-06-08","cited_by_count":23,"area":null},{"id":"2311.09799","title":"How Far Can We Extract Diverse Perspectives from Large Language Models?","created":"2023-11-16","cited_by_count":22,"area":null},{"id":"2311.00287","title":"Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models","created":"2023-11-01","cited_by_count":20,"area":null},{"id":"2408.09169","title":"Automatic Metrics in Natural Language Generation: A Survey of Current Evaluation Practices","created":"2024-08-17","cited_by_count":20,"area":null},{"id":"2405.15604","title":"Text Generation: A Systematic Literature Review of Tasks, Evaluation, and Challenges","created":"2024-05-24","cited_by_count":18,"area":null},{"id":"2404.17642","title":"Empowering Large Language Models for Textual Data Augmentation","created":"2024-04-26","cited_by_count":17,"area":null},{"id":"2501.04410","title":"User Simulation in the Era of Generative AI: User Modeling, Synthetic Data Generation, and System Evaluation","created":"2025-01-08","cited_by_count":17,"area":null},{"id":"2307.09579","title":"Understanding Multi-Turn Toxic Behaviors in Open-Domain Chatbots","created":"2023-07-14","cited_by_count":15,"area":null},{"id":"2410.17170","title":"Self-calibration for Language Model Quantization and Pruning","created":"2024-10-22","cited_by_count":13,"area":null},{"id":"2410.24019","title":"Speech is More Than Words: Do Speech-to-Text Translation Systems Leverage Prosody?","created":"2024-10-31","cited_by_count":13,"area":null},{"id":"2410.03083","title":"Scaling Parameter-Constrained Language Models with Quality Data","created":"2024-10-04","cited_by_count":12,"area":null},{"id":"2312.01509","title":"Tackling Bias in Pre-trained Language Models: Current Trends and Under-represented Societies","created":"2023-12-03","cited_by_count":11,"area":null},{"id":"2410.16069","title":"Rolling the DICE on Idiomaticity: How LLMs Fail to Grasp Context","created":"2024-10-21","cited_by_count":11,"area":null},{"id":"2402.13462","title":"Potential and Challenges of Model Editing for Social Debiasing","created":"2024-02-21","cited_by_count":10,"area":null},{"id":"2410.01154","title":"Unleashing the Power of Large Language Models in Zero-shot Relation Extraction via Self-Prompting","created":"2024-10-02","cited_by_count":10,"area":null},{"id":"2410.11114","title":"Active Learning for Robust and Representative LLM Generation in Safety-Critical Scenarios","created":"2024-10-14","cited_by_count":10,"area":null},{"id":"2406.14191","title":"Temporal Knowledge Graph Question Answering: A Survey","created":"2024-06-20","cited_by_count":9,"area":null},{"id":"2411.02989","title":"Growing a Tail: Increasing Output Diversity in Large Language Models","created":"2024-11-05","cited_by_count":9,"area":null},{"id":"2505.16245","title":"Diverse, not Short: A Length-Controlled Data Selection Strategy for Improving Response Diversity of Language Models","created":"2025-05-22","cited_by_count":9,"area":null},{"id":"2506.17863","title":"LLMs for Customized Marketing Content Generation and Evaluation at Scale","created":"2025-06-22","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":"2501.09368","title":"Aligning Instruction Tuning with Pre-training","created":"2025-01-16","cited_by_count":7,"area":null},{"id":"2503.17195","title":"TreeSynth: Synthesizing Diverse Data from Scratch via Tree-Guided Subspace Partitioning","created":"2025-03-21","cited_by_count":7,"area":null},{"id":"2408.10947","title":"Dr.Academy: A Benchmark for Evaluating Questioning Capability in Education for Large Language Models","created":"2024-08-20","cited_by_count":6,"area":null},{"id":"2505.23829","title":"BiasFilter: An Inference-Time Debiasing Framework for Large Language Models","created":"2025-05-28","cited_by_count":6,"area":null},{"id":"2402.09588","title":"Emerging Opportunities of Using Large Language Models for Translation Between Drug Molecules and Indications","created":"2024-02-14","cited_by_count":5,"area":null},{"id":"2412.03343","title":"Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning","created":"2024-12-04","cited_by_count":4,"area":null},{"id":"2412.09807","title":"LLM Distillation for Efficient Few-Shot Multiple Choice Question Answering","created":"2024-12-13","cited_by_count":4,"area":null},{"id":"2602.12394","title":"Synthetic Interaction Data for Scalable Personalization in Large Language Models","created":"2026-02-12","cited_by_count":4,"area":null},{"id":"2310.13469","title":"Ask Language Model to Clean Your Noisy Translation Data","created":"2023-10-20","cited_by_count":3,"area":null},{"id":"2403.16592","title":"TrustAI at SemEval-2024 Task 8: A Comprehensive Analysis of Multi-domain Machine Generated Text Detection Techniques","created":"2024-03-25","cited_by_count":3,"area":null},{"id":"2504.16188","title":"FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking","created":"2025-04-22","cited_by_count":3,"area":null},{"id":"2504.20643","title":"Cooking Up Creativity: Enhancing LLM Creativity through Structured Recombination","created":"2025-04-29","cited_by_count":3,"area":null},{"id":"2506.11857","title":"Post Persona Alignment for Multi-Session Dialogue Generation","created":"2025-06-13","cited_by_count":3,"area":null},{"id":"2601.18053","title":"Addressing LLM Diversity by Infusing Random Concepts","created":"2026-01-26","cited_by_count":3,"area":null},{"id":"2603.11228","title":"Markovian Generation Chains in Large Language Models","created":"2026-03-11","cited_by_count":3,"area":null},{"id":"2404.03664","title":"LLMs in the Heart of Differential Testing: A Case Study on a Medical Rule Engine","created":"2024-02-16","cited_by_count":2,"area":null},{"id":"2507.06252","title":"False Alarms, Real Damage: Adversarial Attacks Using LLM-based Models on Text-based Cyber Threat Intelligence Systems","created":"2025-07-05","cited_by_count":2,"area":null},{"id":"2508.05474","title":"Can Large Language Models Generate Effective Datasets for Emotion Recognition in Conversations?","created":"2025-08-07","cited_by_count":2,"area":null},{"id":"2512.15011","title":"Epistemic diversity across language models mitigates knowledge collapse","created":"2025-12-17","cited_by_count":2,"area":null},{"id":"2603.16142","title":"Parametric Social Identity Injection and Diversification in Public Opinion Simulation","created":"2026-03-17","cited_by_count":2,"area":null},{"id":"2403.11103","title":"ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models","created":"2024-03-17","cited_by_count":1,"area":null},{"id":"2406.15476","title":"Self-Regulated Data-Free Knowledge Amalgamation for Text Classification","created":"2024-06-16","cited_by_count":1,"area":null},{"id":"2409.12670","title":"Text2Traj2Text: Learning-by-Synthesis Framework for Contextual Captioning of Human Movement Trajectories","created":"2024-09-19","cited_by_count":1,"area":null},{"id":"2503.05047","title":"Biases in Large Language Model-Elicited Text: A Case Study in Natural Language Inference","created":"2025-03-06","cited_by_count":1,"area":null},{"id":"2507.23440","title":"Self-Foveate: Enhancing Diversity and Difficulty of Synthesized Instructions from Unsupervised Text via Multi-Level Foveation","created":"2025-07-31","cited_by_count":1,"area":null},{"id":"2603.05617","title":"NOTAI.AI: Explainable Detection of Machine-Generated Text via Curvature and Feature Attribution","created":"2026-03-05","cited_by_count":1,"area":null},{"id":"2604.17803","title":"Adversarial Arena: Crowdsourcing Data Generation through Interactive Competition","created":"2026-04-20","cited_by_count":1,"area":null},{"id":"2605.30150","title":"Anchorless Diversification for Parallel LLM Ideation","created":"2026-05-28","cited_by_count":1,"area":null},{"id":"2607.29539","title":"ARB: A Matched Authorship-Rewriting Benchmark Dataset for AI-Text Detector Evaluation","created":"2026-07-31","cited_by_count":1,"area":null},{"id":"2402.05116","title":"Quantifying Similarity: Text-Mining Approaches to Evaluate ChatGPT and Google Bard Content in Relation to BioMedical Literature","created":"2024-01-19","cited_by_count":0,"area":null},{"id":"2410.08996","title":"Hypothesis-only Biases in Large Language Model-Elicited Natural Language Inference","created":"2024-10-11","cited_by_count":0,"area":null},{"id":"2410.09038","title":"SimpleStrat: Diversifying Language Model Generation with Stratification","created":"2024-10-11","cited_by_count":0,"area":null},{"id":"2411.06722","title":"Synthesize, Partition, then Adapt: Eliciting Diverse Samples from Foundation Models","created":"2024-11-11","cited_by_count":0,"area":null},{"id":"2412.06738","title":"JAPAGEN: Efficient Few/Zero-shot Learning via Japanese Training Dataset Generation with LLM","created":"2024-12-09","cited_by_count":0,"area":null},{"id":"2412.11292","title":"Grassmannian Geometry Meets Dynamic Mode Decomposition in DMD-GEN: A New Metric for Mode Collapse in Time Series Generative Models","created":"2024-12-15","cited_by_count":0,"area":null},{"id":"2412.20057","title":"\"My life is miserable, have to sign 500 autographs everyday\": Exposing Humblebragging, the Brags in Disguise","created":"2024-12-28","cited_by_count":0,"area":null},{"id":"2503.11046","title":"Measuring Similarity in Causal Graphs: A Framework for Semantic and Structural Analysis","created":"2025-03-14","cited_by_count":0,"area":null},{"id":"2503.20800","title":"Evidencing Unauthorized Training Data from AI Generated Content using Information Isotopes","created":"2025-03-24","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":"2508.09954","title":"Disambiguation of Emotion Annotations by Contextualizing Events in Plausible Narratives","created":"2025-08-13","cited_by_count":0,"area":null},{"id":"2602.06049","title":"Recontextualizing Famous Quotes for Brand Slogan Generation","created":"2026-01-12","cited_by_count":0,"area":null},{"id":"2602.08187","title":"Large Language Models in Peer-Run Community Behavioral Health Services: Understanding Peer Specialists and Service Users' Perspectives on Opportunities, Risks, and Mitigation Strategies","created":"2026-02-09","cited_by_count":0,"area":null},{"id":"2603.01778","title":"LLM-as-an-Annotator: Training Lightweight Models with LLM-Annotated Examples for Aspect Sentiment Tuple Prediction","created":"2026-03-02","cited_by_count":0,"area":null},{"id":"2606.06022","title":"Contextualized Prompting For Stance Detection On Social Media","created":"2026-06-04","cited_by_count":0,"area":null},{"id":"2608.26168","title":"Hallucinations in LLMs: A Lifecycle-Based Survey of Causes, Detection, Mitigation, and Prevention","created":"2026-07-20","cited_by_count":0,"area":null},{"id":"2609.33073","title":"Algorithmic Harms Associated with Generative Model-Augmented Recommendation Systems","created":"2026-09-27","cited_by_count":0,"area":null},{"id":"2610.03240","title":"Collective Bias Mitigation via Model Routing and Collaboration","created":"2026-10-02","cited_by_count":0,"area":null}],"next_cursor":null}