{"total":118,"rows":[{"id":"2502.01534","title":"Preference Leakage: A Contamination Problem in LLM-as-a-judge","created":"2025-02-03","cited_by_count":125,"area":null},{"id":"2501.10970","title":"The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs","created":"2025-01-19","cited_by_count":74,"area":null},{"id":"2403.08946","title":"Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era","created":"2024-03-13","cited_by_count":46,"area":null},{"id":"2506.20923","title":"KaLM-Embedding-V2: Superior Training Techniques and Data Inspire A Versatile Embedding Model","created":"2025-06-26","cited_by_count":36,"area":null},{"id":"2411.06469","title":"ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction?","created":"2024-11-10","cited_by_count":32,"area":null},{"id":"2502.12378","title":"Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challenges","created":"2025-02-17","cited_by_count":31,"area":null},{"id":"2412.08467","title":"Bootstrapping Language-Guided Navigation Learning with Self-Refining Data Flywheel","created":"2024-12-11","cited_by_count":20,"area":null},{"id":"2412.10136","title":"Can LLMs Convert Graphs to Text-Attributed Graphs?","created":"2024-12-13","cited_by_count":19,"area":null},{"id":"2602.00521","title":"Diagnosing the Reliability of LLM-as-a-Judge via Item Response Theory","created":"2026-01-31","cited_by_count":16,"area":null},{"id":"2502.11267","title":"Prompting in the Dark: Assessing Human Performance in Prompt Engineering for Data Labeling When Gold Labels Are Absent","created":"2025-02-16","cited_by_count":15,"area":null},{"id":"2411.17637","title":"On Limitations of LLM as Annotator for Low Resource Languages","created":"2024-11-26","cited_by_count":12,"area":null},{"id":"2506.06915","title":"Graph Neural Networks in Modern AI-aided Drug Discovery","created":"2025-06-07","cited_by_count":12,"area":null},{"id":"2410.13006","title":"LLM Chain Ensembles for Scalable and Accurate Data Annotation","created":"2024-10-16","cited_by_count":11,"area":null},{"id":"2509.09969","title":"Large Language Models Meet Legal Artificial Intelligence: A Survey","created":"2025-09-12","cited_by_count":10,"area":null},{"id":"2412.13942","title":"A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLI","created":"2024-12-18","cited_by_count":9,"area":null},{"id":"2503.05070","title":"PromptPex: Automatic Test Generation for Language Model Prompts","created":"2025-03-07","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":"2601.17058","title":"Can LLMs Clean Up Your Mess? A Survey of Application-Ready Data Preparation with LLMs","created":"2026-01-22","cited_by_count":9,"area":null},{"id":"2602.04735","title":"From Data to Behavior: Predicting Unintended Model Behaviors Before Training","created":"2026-02-04","cited_by_count":8,"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":"2507.07229","title":"SynthTextEval: Synthetic Text Data Generation and Evaluation for High-Stakes Domains","created":"2025-07-09","cited_by_count":7,"area":null},{"id":"2410.13098","title":"A Little Human Data Goes A Long Way","created":"2024-10-17","cited_by_count":6,"area":null},{"id":"2502.09897","title":"Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction to Generation and Beyond","created":"2025-02-14","cited_by_count":6,"area":null},{"id":"2503.23243","title":"Evaluating how LLM annotations represent diverse views on contentious topics","created":"2025-03-29","cited_by_count":6,"area":null},{"id":"2507.04009","title":"Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents","created":"2025-07-05","cited_by_count":6,"area":null},{"id":"2406.17992","title":"Catching Chameleons: Detecting Evolving Disinformation Generated using Large Language Models","created":"2024-06-26","cited_by_count":5,"area":null},{"id":"2412.14276","title":"Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data","created":"2024-12-18","cited_by_count":5,"area":null},{"id":"2506.20274","title":"Enterprise Large Language Model Evaluation Benchmark","created":"2025-06-25","cited_by_count":5,"area":null},{"id":"2505.19675","title":"Calibrating Pre-trained Language Classifiers on LLM-generated Noisy Labels via Iterative Refinement","created":"2025-05-26","cited_by_count":4,"area":null},{"id":"2506.00955","title":"Leveraging Large Language Models for Sarcastic Speech Annotation in Sarcasm Detection","created":"2025-06-01","cited_by_count":4,"area":null},{"id":"2506.01484","title":"LLM in the Loop: Creating the ParaDeHate Dataset for Hate Speech Detoxification","created":"2025-06-02","cited_by_count":4,"area":null},{"id":"2406.14099","title":"Let Guidelines Guide You: A Prescriptive Guideline-Centered Data Annotation Methodology","created":"2024-06-20","cited_by_count":3,"area":null},{"id":"2411.05775","title":"Fact or Fiction? Can LLMs be Reliable Annotators for Political Truths?","created":"2024-11-08","cited_by_count":3,"area":null},{"id":"2412.03796","title":"Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models","created":"2024-12-05","cited_by_count":3,"area":null},{"id":"2503.03303","title":"SEOE: A Scalable and Reliable Semantic Evaluation Framework for Open Domain Event Detection","created":"2025-03-05","cited_by_count":3,"area":null},{"id":"2504.03603","title":"Towards deployment-centric multimodal AI beyond vision and language","created":"2025-04-04","cited_by_count":3,"area":null},{"id":"2504.04024","title":"Window Token Concatenation for Efficient Visual Large Language Models","created":"2025-04-05","cited_by_count":3,"area":null},{"id":"2505.15695","title":"Can Large Language Models be Effective Online Opinion Miners?","created":"2025-05-21","cited_by_count":3,"area":null},{"id":"2506.00308","title":"MythTriage: Scalable Detection of Opioid Use Disorder Myths on a Video-Sharing Platform","created":"2025-05-30","cited_by_count":3,"area":null},{"id":"2509.12288","title":"Digital Voices of Survival: From Social Media Disclosures to Support Provisions for Domestic Violence Victims","created":"2025-09-15","cited_by_count":3,"area":null},{"id":"2510.14581","title":"Model-agnostic Selective Labeling with Provable Statistical Guarantees","created":"2025-10-16","cited_by_count":3,"area":null},{"id":"2510.16549","title":"ReviewGuard: Enhancing Deficient Peer Review Detection via LLM-Driven Data Augmentation","created":"2025-10-18","cited_by_count":3,"area":null},{"id":"2603.15423","title":"Invisible failures in human-AI interactions","created":"2026-03-16","cited_by_count":3,"area":null},{"id":"2503.06778","title":"Large Language Models Are Effective Human Annotation Assistants, But Not Good Independent Annotators","created":"2025-03-09","cited_by_count":2,"area":null},{"id":"2503.09701","title":"Reassessing Active Learning Adoption in Contemporary NLP: A Community Survey","created":"2025-03-12","cited_by_count":2,"area":null},{"id":"2505.13418","title":"Dementia Through Different Eyes: Explainable Modeling of Human and LLM Perceptions for Early Awareness","created":"2025-05-19","cited_by_count":2,"area":null},{"id":"2506.10504","title":"Beyond Single-User Dialogue: Assessing Multi-User Dialogue State Tracking Capabilities of Large Language Models","created":"2025-06-12","cited_by_count":2,"area":null},{"id":"2509.11687","title":"A Dynamic Knowledge Update-Driven Model with Large Language Models for Fake News Detection","created":"2025-09-15","cited_by_count":2,"area":null},{"id":"2510.04024","title":"Enhancing Fake News Video Detection via LLM-Driven Creative Process Simulation","created":"2025-10-05","cited_by_count":2,"area":null},{"id":"2511.02495","title":"DetectiumFire: A Comprehensive Multi-modal Dataset Bridging Vision and Language for Fire Understanding","created":"2025-11-04","cited_by_count":2,"area":null},{"id":"2512.01045","title":"Med-CRAFT: An Information System for Explainable and Configurable Construction of Multimodal Medical QA Datasets","created":"2025-11-30","cited_by_count":2,"area":null},{"id":"2512.23413","title":"Bridging Cognitive Gap: Hierarchical Description Learning for Artistic Image Aesthetics Assessment","created":"2025-12-29","cited_by_count":2,"area":null},{"id":"2605.26322","title":"OmniToM: Benchmarking Theory of Mind in LLMs via Explicit Belief Modeling","created":"2026-05-25","cited_by_count":2,"area":null},{"id":"2606.11018","title":"Measuring Human Value Expression in Social Media Texts: Calibrated LLM Annotation and Encoder Transfer","created":"2026-06-09","cited_by_count":2,"area":null},{"id":"2412.08680","title":"Distinguishing Scams and Fraud with Ensemble Learning","created":"2024-12-11","cited_by_count":1,"area":null},{"id":"2502.18725","title":"Talking to the brain: Using Large Language Models as Proxies to Model Brain Semantic Representation","created":"2025-02-26","cited_by_count":1,"area":null},{"id":"2503.01605","title":"A Leaf-Level Dataset for Soybean-Cotton Detection and Segmentation","created":"2025-03-03","cited_by_count":1,"area":null},{"id":"2505.14917","title":"ConspEmoLLM-v2: A robust and stable model to detect sentiment-transformed conspiracy theories","created":"2025-05-20","cited_by_count":1,"area":null},{"id":"2505.22777","title":"MEDAL: A Framework for Benchmarking LLMs as Multilingual Open-Domain Dialogue Evaluators","created":"2025-05-28","cited_by_count":1,"area":null},{"id":"2506.08593","title":"Hateful Person or Hateful Model? Investigating the Role of Personas in Hate Speech Detection by Large Language Models","created":"2025-06-10","cited_by_count":1,"area":null},{"id":"2506.23146","title":"Learning-to-Context Slope: Evaluating In-Context Learning Effectiveness Beyond Performance Illusions","created":"2025-06-29","cited_by_count":1,"area":null},{"id":"2507.18956","title":"A Similarity Measure for Comparing Conversational Dynamics","created":"2025-07-25","cited_by_count":1,"area":null},{"id":"2509.02363","title":"Towards Temporal Knowledge-Base Creation for Fine-Grained Opinion Analysis with Language Models","created":"2025-09-02","cited_by_count":1,"area":null},{"id":"2509.17879","title":"How Persuasive is Your Context?","created":"2025-09-22","cited_by_count":1,"area":null},{"id":"2509.24326","title":"TraitSpaces: Towards Interpretable Visual Creativity for Human-AI Co-Creation","created":"2025-09-29","cited_by_count":1,"area":null},{"id":"2510.08986","title":"CAPC-CG: A Large-Scale, Expert-Directed LLM-Annotated Corpus of Adaptive Policy Communication in China","created":"2025-10-10","cited_by_count":1,"area":null},{"id":"2511.10855","title":"ExPairT-LLM: Exact Learning for LLM Code Selection by Pairwise Queries","created":"2025-11-13","cited_by_count":1,"area":null},{"id":"2512.08646","title":"QSTN: A Modular Framework for Robust Questionnaire Inference with Large Language Models","created":"2025-12-09","cited_by_count":1,"area":null},{"id":"2601.07648","title":"What Are We Measuring in NLG? A Meta-Analysis of Evaluation Trends 2020-2025","created":"2026-01-12","cited_by_count":1,"area":null},{"id":"2601.09142","title":"EvasionBench: A Large-Scale Benchmark for Detecting Managerial Evasion in Earnings Call Q&A","created":"2026-01-14","cited_by_count":1,"area":null},{"id":"2601.11920","title":"Enhancing LLM-Based Data Annotation with Error Decomposition","created":"2026-01-17","cited_by_count":1,"area":null},{"id":"2602.00699","title":"From Prompt to Graph: Comparing LLM-Based Information Extraction Strategies in Domain-Specific Ontology Development","created":"2026-01-31","cited_by_count":1,"area":null},{"id":"2602.05110","title":"Understanding LLM Evaluator Behavior: A Structured Multi-Evaluator Framework for Merchant Risk Assessment","created":"2026-02-04","cited_by_count":1,"area":null},{"id":"2602.17653","title":"Differences in Typological Alignment in Language Models' Treatment of Differential Argument Marking","created":"2026-02-19","cited_by_count":1,"area":null},{"id":"2604.13232","title":"Evaluating the Evaluator: Problems with SemEval-2020 Task 1 for Lexical Semantic Change Detection","created":"2026-04-14","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":"2605.06940","title":"MultiSoc-4D: A Benchmark for Diagnosing Instruction-Induced Label Collapse in Closed-Set LLM Annotation of Bengali Social Media","created":"2026-05-07","cited_by_count":1,"area":null},{"id":"2606.01617","title":"EvoPool: Evolutionary Programmatic Annotation for Label-Efficient Specialized Supervision","created":"2026-06-01","cited_by_count":1,"area":null},{"id":"2412.04326","title":"Understanding Student Sentiment on Mental Health Support in Colleges Using Large Language Models","created":"2024-11-18","cited_by_count":0,"area":null},{"id":"2412.12417","title":"Bridging the Gap: Enhancing LLM Performance for Low-Resource African Languages with New Benchmarks, Fine-Tuning, and Cultural Adjustments","created":"2024-12-16","cited_by_count":0,"area":null},{"id":"2412.13283","title":"Enhancing Persona Classification in Dialogue Systems: A Graph Neural Network Approach","created":"2024-12-17","cited_by_count":0,"area":null},{"id":"2505.07416","title":"ViMRHP: A Vietnamese Benchmark Dataset for Multimodal Review Helpfulness Prediction via Human-AI Collaborative Annotation","created":"2025-05-12","cited_by_count":0,"area":null},{"id":"2506.23014","title":"Generating Privacy Stories From Software Documentation","created":"2025-06-28","cited_by_count":0,"area":null},{"id":"2508.20374","title":"TCIA: A Task-Centric Instruction Augmentation Method for Instruction Finetuning","created":"2025-08-28","cited_by_count":0,"area":null},{"id":"2509.02855","title":"IDEAlign: Comparing Ideas of Large Language Models to Domain Expert","created":"2025-09-02","cited_by_count":0,"area":null},{"id":"2509.07869","title":"Are Humans as Brittle as Large Language Models?","created":"2025-09-09","cited_by_count":0,"area":null},{"id":"2509.09160","title":"Target-oriented Multimodal Sentiment Classification with Counterfactual-enhanced Debiasing","created":"2025-09-11","cited_by_count":0,"area":null},{"id":"2509.12108","title":"GTA: Supervised-Guided Reinforcement Learning for Text Classification with Large Language Models","created":"2025-09-15","cited_by_count":0,"area":null},{"id":"2601.04632","title":"From National Curricula to Cultural Awareness: Constructing Open-Ended Culture-Specific Question Answering Dataset","created":"2026-01-08","cited_by_count":0,"area":null},{"id":"2601.05103","title":"Semantically Orthogonal Framework for Citation Classification: Disentangling Intent and Content","created":"2026-01-08","cited_by_count":0,"area":null},{"id":"2601.11282","title":"From SERPs to Sound: How Search Engine Result Pages and AI-generated Podcasts Interact to Influence User Attitudes on Controversial Topics","created":"2026-01-16","cited_by_count":0,"area":null},{"id":"2601.16711","title":"Better Generalizing to Unseen Concepts: An Evaluation Framework and An LLM-Based Auto-Labeled Pipeline for Biomedical Concept Recognition","created":"2026-01-23","cited_by_count":0,"area":null},{"id":"2602.02320","title":"MolLangData: A Large-Scale Dataset for Molecular Structure-Language Description via a Rule-Regularized Method","created":"2026-02-02","cited_by_count":0,"area":null},{"id":"2602.10149","title":"Semantic Labeling for Third-Party Cybersecurity Risk Assessment: A Semi-Supervised Approach to Intent-Aware Question Retrieval","created":"2026-02-09","cited_by_count":0,"area":null},{"id":"2602.13792","title":"StackingNet: Collective Inference Across Independent AI Foundation Models","created":"2026-02-14","cited_by_count":0,"area":null},{"id":"2602.15600","title":"The geometry of online conversations and the causal antecedents of conflictual discourse","created":"2026-02-17","cited_by_count":0,"area":null},{"id":"2604.00586","title":"More Human, More Efficient: Aligning Annotations with Quantized SLMs","created":"2026-04-01","cited_by_count":0,"area":null},{"id":"2604.04168","title":"A Semi-Automated Annotation Workflow for Paediatric Histopathology Reports Using Small Language Models","created":"2026-04-05","cited_by_count":0,"area":null},{"id":"2604.04515","title":"CommonMorph: Participatory Morphological Documentation Platform","created":"2026-04-06","cited_by_count":0,"area":null},{"id":"2604.09548","title":"Retrieval-Augmented Large Language Models for Evidence-Informed Guidance on Cannabidiol Use in Older Adults","created":"2026-01-16","cited_by_count":0,"area":null}],"next_cursor":"100"}