{"total":45,"rows":[{"id":"2409.00088","title":"On-Device Language Models: A Comprehensive Review","created":"2024-08-26","cited_by_count":104,"area":null},{"id":"2405.01745","title":"Large Language Models for UAVs: Current State and Pathways to the Future","created":"2024-05-02","cited_by_count":33,"area":null},{"id":"2506.11094","title":"The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs","created":"2025-06-06","cited_by_count":26,"area":null},{"id":"2501.18845","title":"Text Data Augmentation for Large Language Models: A Comprehensive Survey of Methods, Challenges, and Opportunities","created":"2025-01-31","cited_by_count":22,"area":null},{"id":"2410.05193","title":"RevisEval: Improving LLM-as-a-Judge via Response-Adapted References","created":"2024-10-07","cited_by_count":20,"area":null},{"id":"2412.14140","title":"GLIDER: Grading LLM Interactions and Decisions using Explainable Ranking","created":"2024-12-18","cited_by_count":14,"area":null},{"id":"2504.01001","title":"Zero-shot Benchmarking: A Framework for Flexible and Scalable Automatic Evaluation of Language Models","created":"2025-04-01","cited_by_count":14,"area":null},{"id":"2506.04156","title":"A Dataset for Addressing Patient's Information Needs related to Clinical Course of Hospitalization","created":"2025-06-04","cited_by_count":13,"area":null},{"id":"2601.23000","title":"Mano: Restriking Manifold Optimization for LLM Training","created":"2026-01-30","cited_by_count":12,"area":null},{"id":"2505.03814","title":"Cer-Eval: Certifiable and Cost-Efficient Evaluation Framework for LLMs","created":"2025-05-02","cited_by_count":11,"area":null},{"id":"2407.04581","title":"Leveraging Large Language Models for Integrated Satellite-Aerial-Terrestrial Networks: Recent Advances and Future Directions","created":"2024-07-05","cited_by_count":10,"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":"2410.19406","title":"An Auditing Test To Detect Behavioral Shift in Language Models","created":"2024-10-25","cited_by_count":9,"area":null},{"id":"2409.20303","title":"A Looming Replication Crisis in Evaluating Behavior in Language Models? Evidence and Solutions","created":"2024-09-30","cited_by_count":8,"area":null},{"id":"2407.20906","title":"Automated Review Generation Method Based on Large Language Models","created":"2024-07-30","cited_by_count":7,"area":null},{"id":"2505.23809","title":"LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion","created":"2025-05-27","cited_by_count":7,"area":null},{"id":"2410.10724","title":"Large Language Models Are Active Critics in NLG Evaluation","created":"2024-10-14","cited_by_count":6,"area":null},{"id":"2503.05164","title":"A Comprehensive LLM-powered Framework for Driving Intelligence Evaluation","created":"2025-03-07","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":"2404.11072","title":"Large Language Models Meet User Interfaces: The Case of Provisioning Feedback","created":"2024-04-17","cited_by_count":4,"area":null},{"id":"2409.15290","title":"Broadening Access to Simulations for End-Users via Large Language Models: Challenges and Opportunities","created":"2024-09-03","cited_by_count":4,"area":null},{"id":"2411.10878","title":"Empowering Meta-Analysis: Leveraging Large Language Models for Scientific Synthesis","created":"2024-11-16","cited_by_count":4,"area":null},{"id":"2505.00065","title":"ConSens: Assessing context grounding in open-book question answering","created":"2025-04-30","cited_by_count":4,"area":null},{"id":"2408.02584","title":"Leveraging the Power of LLMs: A Fine-Tuning Approach for High-Quality Aspect-Based Summarization","created":"2024-08-05","cited_by_count":3,"area":null},{"id":"2505.18644","title":"Enhancing Generalization of Speech Large Language Models with Multi-Task Behavior Imitation and Speech-Text Interleaving","created":"2025-05-24","cited_by_count":3,"area":null},{"id":"2603.17067","title":"Evaluating Ill-Defined Tasks in Large Language Models","created":"2026-03-17","cited_by_count":3,"area":null},{"id":"2410.20791","title":"From Cool Demos to Production-Ready FMware: Core Challenges and a Technology Roadmap","created":"2024-10-28","cited_by_count":2,"area":null},{"id":"2511.10691","title":"Evaluating from Benign to Dynamic Adversarial: A Squid Game for Large Language Models","created":"2025-11-12","cited_by_count":2,"area":null},{"id":"2605.06901","title":"Reflections and New Directions for Human-Centered Large Language Models","created":"2026-05-07","cited_by_count":2,"area":null},{"id":"2408.09269","title":"Enhancing Audio-Language Models through Self-Supervised Post-Training with Text-Audio Pairs","created":"2024-08-17","cited_by_count":1,"area":null},{"id":"2507.01154","title":"FlashDP: Private Training Large Language Models with Efficient DP-SGD","created":"2025-07-01","cited_by_count":1,"area":null},{"id":"2604.24525","title":"Understanding the Limits of Automated Evaluation for Code Review Bots in Practice","created":"2026-04-27","cited_by_count":1,"area":null},{"id":"2605.16023","title":"Judge Circuits Explain Format-Induced Inconsistency in LLM-as-a-Judge","created":"2026-05-15","cited_by_count":1,"area":null},{"id":"2609.00946","title":"Embedded Conditional Independence Tests for Large Language Model Generated Text with an Application to German Parliament Speeches","created":"2026-09-01","cited_by_count":1,"area":null},{"id":"2505.21409","title":"RelationalFactQA: A Benchmark for Evaluating Tabular Fact Retrieval from Large Language Models","created":"2025-05-27","cited_by_count":0,"area":null},{"id":"2506.18213","title":"A Conceptual Framework for AI Capability Evaluations","created":"2025-06-23","cited_by_count":0,"area":null},{"id":"2509.15658","title":"Chunk Knowledge Generation Model for Enhanced Information Retrieval: A Multi-task Learning Approach","created":"2025-09-19","cited_by_count":0,"area":null},{"id":"2510.18108","title":"Na Pr\\'atica, qual IA Entende o Direito? Um Estudo Experimental com IAs Generalistas e uma IA Jur\\'idica","created":"2025-10-20","cited_by_count":0,"area":null},{"id":"2512.05334","title":"The Effect of Document Summarization on LLM-Based Relevance Judgments","created":"2025-12-05","cited_by_count":0,"area":null},{"id":"2601.11544","title":"Medication counseling with large language models: balancing flexibility and rigidity","created":"2025-12-02","cited_by_count":0,"area":null},{"id":"2602.19583","title":"DEEP: Docker-based Execution and Evaluation Platform","created":"2026-02-23","cited_by_count":0,"area":null},{"id":"2602.23312","title":"Evaluating Zero-Shot and One-Shot Adaptation of Small Language Models in Leader-Follower Interaction","created":"2026-02-26","cited_by_count":0,"area":null},{"id":"2606.12767","title":"Constructing Evaluation Datasets for Procedural Reasoning: Balancing Naturalness, Grounding, and Multi-Hop Coverage","created":"2026-06-11","cited_by_count":0,"area":null},{"id":"2609.05289","title":"Beyond Aggregate Scores: Behavioral Correctness Assumptions for Assessing Reference-Based Automatic Evaluation Methods","created":"2026-09-04","cited_by_count":0,"area":null},{"id":"2610.08161","title":"Symphony for Text Generation: Benchmarking Clinical Note Generation","created":"2026-10-06","cited_by_count":0,"area":null}],"next_cursor":null}